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  • #61
    Re: Cocirculation of Influenza Viruses

    week 12:

    ~60% is H3 in North America
    ~90% is H3 in Europe
    ~20% is H3 in East Asia, ~70% is B
    India Mx=pdm98:0,0,2,0,1,1,0,2,2,9,27

    http://apps.who.int/globalatlas/auto...unet_login.asp

    Code:
    all: 115 countries
    (H1): 0,0,0,0,1,0,0,0,0,0,0,0,0 
    (H3): 1181,1654,2474,2303,2750,2957,3176,3655,3805,3516,2649,1656,256 
    (Mx): 326,616,766,996,920,873,660,641,708,642,517,237,7 
    (A ): 1795,2545,3671,3788,4593,5207,6046,7228,7903,7192,5514,3590,281 
    (B ): 991,1474,1180,1093,1890,2239,2856,3207,3063,2700,1082,1080,232 
    %Mx(A): 21.6,27.1,23.6,30.1,25,22.7,17.2,14.9,15.6,15.4,16.3,12.5,2.6 
    %B: 35.5,36.6,24.3,22.3,29.1,30,32,30.7,27.9,27.2,16.4,23.1,45.2 
    
    North America: 3 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 173,225,286,347,476,506,585,800,1073,1203,1076,296,0 
    (Mx): 266,539,696,923,855,804,555,542,590,485,360,139,0 
    (A ): 509,840,1082,1438,1561,1589,1566,1910,2448,2615,2027,813,0 
    (B ): 47,59,57,76,137,162,230,292,512,646,157,99,0 
    %Mx(A): 60.5,70.5,70.8,72.6,64.2,61.3,48.6,40.3,35.4,28.7,25,31.9,- 
    %B: 8.4,6.5,5,5,8,9.2,12.8,13.2,17.2,19.8,7.1,10.8,- 
    
    Middle America: 9 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 27,11,17,13,7,9,8,1,0,2,0,0,0 
    (Mx): 8,5,9,5,5,3,7,4,14,29,37,2,0 
    (A ): 36,16,26,18,12,12,15,9,21,37,51,2,0 
    (B ): 4,1,1,1,1,8,1,5,7,7,10,0,0 
    %Mx(A): 22.8,31.2,34.6,27.7,41.6,25,46.6,80,100,93.5,100,100,- 
    %B: 10,5.8,3.7,5.2,7.6,40,6.2,35.7,25,15.9,16.3,0,- 
    
    South America: 9 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 30,35,21,8,13,16,14,16,13,13,6,8,10 
    (Mx): 11,15,9,7,9,14,10,6,10,10,6,3,4 
    (A ): 41,54,31,17,25,34,30,25,24,26,14,16,18 
    (B ): 3,8,3,3,7,1,10,8,17,21,8,0,0 
    %Mx(A): 26.8,30,30,46.6,40.9,46.6,41.6,27.2,43.4,43.4,50,27.2,28.5 
    %B: 6.8,12.9,8.8,15,21.8,2.8,25,24.2,41.4,44.6,36.3,0,0 
    
    Europe: 41 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 303,470,700,1018,1244,1562,1739,2039,1995,1652,1393,1029,10 
    (Mx): 10,21,16,27,26,14,35,54,54,42,44,39,0 
    (A ): 477,654,1007,1337,1933,2627,3473,4374,4561,3677,3165,2368,21 
    (B ): 22,22,36,67,81,131,169,253,259,281,295,380,0 
    %Mx(A): 3.1,4.2,2.2,2.5,2,.8,1.9,2.5,2.6,2.4,3,3.6,0 
    %B: 4.4,3.2,3.4,4.7,4,4.7,4.6,5.4,5.3,7,8.5,13.8,0 
    
    North Africa: 6 countries
    (H1): 0,0,0,0,1,0,0,0,0,0,0,0,0 
    (H3): 54,62,57,38,23,9,13,16,9,6,5,0,0 
    (Mx): 0,0,0,0,0,1,0,0,0,0,0,1,0 
    (A ): 54,62,58,38,24,10,13,16,9,6,5,1,0 
    (B ): 0,1,0,1,0,1,1,2,1,1,0,1,0 
    %Mx(A): 0,0,0,0,0,10,0,0,0,0,0,100,- 
    %B: 0,1.5,0,2.5,0,9,7.1,11.1,10,14.2,0,50,- 
    
    South Africa: 18 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 12,8,12,10,12,13,27,20,32,30,7,13,0 
    (Mx): 4,6,10,15,7,6,8,7,2,3,8,3,0 
    (A ): 20,17,24,29,20,21,40,30,37,33,17,16,0 
    (B ): 7,8,2,10,16,22,15,12,14,7,8,1,0 
    %Mx(A): 25,42.8,45.4,60,36.8,31.5,22.8,25.9,5.8,9,53.3,18.7,- 
    %B: 25.9,32,7.6,25.6,44.4,51.1,27.2,28.5,27.4,17.5,32,5.8,- 
    
    Ozeania: 5 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 40,30,51,12,11,16,7,5,6,3,8,3,0 
    (Mx): 12,8,8,6,2,5,4,2,3,0,1,0,0 
    (A ): 52,38,59,19,13,21,11,9,9,3,9,3,0 
    (B ): 22,27,20,30,10,17,29,22,17,13,19,7,0 
    %Mx(A): 23,21,13.5,33.3,15.3,23.8,36.3,28.5,33.3,0,11.1,0,- 
    %B: 29.7,41.5,25.3,61.2,43.4,44.7,72.5,70.9,65.3,81.2,67.8,70,- 
    
    West Asia: 8 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 135,63,108,56,46,23,30,39,24,23,11,15,0 
    (Mx): 6,14,7,5,5,6,13,7,12,25,30,43,0 
    (A ): 168,87,120,66,59,41,59,60,56,69,48,72,0 
    (B ): 20,24,37,33,39,34,48,30,33,27,25,29,10 
    %Mx(A): 4.2,18.1,6,8.1,9.8,20.6,30.2,15.2,33.3,52,73.1,74.1,- 
    %B: 10.6,21.6,23.5,33.3,39.7,45.3,44.8,33.3,37,28.1,34.2,28.7,100 
    
    East Asia: 16 countries
    (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
    (H3): 407,750,1222,801,918,803,753,719,653,584,143,292,236 
    (Mx): 9,8,11,8,11,20,28,19,23,48,31,7,3 
    (A ): 438,777,1264,826,946,852,839,795,738,726,178,299,242 
    (B ): 866,1324,1024,872,1599,1863,2353,2583,2203,1697,560,563,222 
    %Mx(A): 2.1,1,.8,.9,1.1,2.4,3.5,2.5,3.4,7.5,17.8,2.3,1.2 
    %B: 66.4,63,44.7,51.3,62.8,68.6,73.7,76.4,74.9,70,75.8,65.3,47.8
    I'm interested in expert panflu damage estimates
    my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

    Comment


    • #62
      Re: Cocirculation of Influenza Viruses

      country-graphs here:
      http://gamapserver.who.int/gareports...spx?ReportNo=1

      (hattip Lisa Schirring)
      I'm interested in expert panflu damage estimates
      my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

      Comment


      • #63
        Re: Cocirculation of Influenza Viruses

        Code:
        all: 123 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 1224,1729,2596,2440,2928,3185,3532,4077,4249,4041,4078,3509,2959,2110,1954,1690,1256,1089,1094,1199,1231,1081,953,849,853,1019,1202,1279,1149,1069,774,10 
        (Mx): 348,621,776,1034,950,922,739,713,815,840,990,882,716,536,455,337,239,194,140,152,166,273,208,173,162,208,205,147,131,99,73,3 
        (A ): 1856,2633,3808,4122,4805,5509,6614,7850,8465,7735,7809,6620,5433,3771,3273,2751,2007,1591,1503,1541,1554,1500,1287,1174,1149,1360,1549,1550,1379,1260,911,13 
        (B ): 1275,1752,1643,1255,2014,2436,3241,3666,3469,3422,3296,3018,2454,1778,1732,1514,1119,853,711,596,533,488,435,457,344,408,385,418,389,321,181,0 
        %Mx(A): 22.1,26.4,23,29.7,24.4,22.4,17.3,14.8,16,17.2,19.5,20,19.4,20.2,18.8,16.6,15.9,15.1,11.3,11.2,11.8,20.1,17.9,16.9,15.9,16.9,14.5,10.3,10.2,8.399999,8.600001,23 
        %B: 40.7,39.9,30.1,23.3,29.5,30.6,32.8,31.8,29,30.6,29.6,31.3,31.1,32,34.6,35.4,35.7,34.9,32.1,27.8,25.5,24.5,25.2,28,23,23,19.9,21.2,22,20.3,16.5,0 
        
        North America: 3 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 169,224,285,350,479,512,594,823,1102,1274,1479,1167,833,713,687,634,409,354,268,203,93,114,62,57,56,31,14,26,13,13,1,0 
        (Mx): 267,541,703,951,884,845,604,586,677,648,697,544,398,316,246,155,105,76,60,47,25,27,17,15,8,3,3,2,1,1,0,0 
        (A ): 506,842,1086,1462,1573,1603,1597,1947,2497,2771,3024,2487,1811,1532,1299,1125,757,590,486,352,204,213,127,133,93,57,33,45,30,32,5,0 
        (B ): 50,57,57,78,138,164,234,297,516,664,882,1020,817,714,815,763,625,527,462,350,335,297,228,195,109,131,60,40,39,17,1,0 
        %Mx(A): 61.2,70.7,71.1,73,64.8,62.2,50.4,41.5,38,33.7,32,31.7,32.3,30.7,26.3,19.6,20.4,17.6,18.2,18.8,21.1,19.1,21.5,20.8,12.5,8.8,17.6,7.1,7.1,7.1,0,- 
        %B: 8.899999,6.3,4.9,5,8,9.2,12.7,13.2,17.1,19.3,22.5,29,31,31.7,38.5,40.4,45.2,47.1,48.7,49.8,62.1,58.2,64.2,59.4,53.9,69.6,64.5,47,56.5,34.6,16.6,- 
        
        Middle America: 9 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 27,11,17,13,7,9,8,1,6,4,6,4,4,0,7,17,5,7,17,8,2,16,10,4,4,4,10,7,5,2,0,0 
        (Mx): 8,5,9,5,5,3,7,9,22,46,85,62,50,9,22,15,14,25,13,19,14,50,35,34,18,26,31,4,5,2,2,0 
        (A ): 36,16,26,18,12,12,15,12,28,51,92,70,55,9,29,32,19,32,30,27,19,69,48,39,23,31,41,11,10,5,2,0 
        (B ): 4,1,1,1,1,9,1,4,8,8,13,9,5,2,2,3,1,3,4,7,10,19,17,35,26,42,38,36,50,42,7,0 
        %Mx(A): 22.8,31.2,34.6,27.7,41.6,25,46.6,90,78.5,92,93.4,93.9,92.5,100,75.8,46.8,73.6,78.1,43.3,70.3,87.5,75.7,77.7,89.4,81.8,86.6,75.6,36.3,50,50,100,- 
        %B: 10,5.8,3.7,5.2,7.6,42.8,6.2,25,22.2,13.5,12.3,11.3,8.3,18.1,6.4,8.5,5,8.5,11.7,20.5,34.4,21.5,26.1,47.2,53,57.5,48.1,76.5,83.3,89.3,77.7,- 
        
        South America: 9 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 44,39,21,14,19,21,19,18,19,14,29,35,25,26,34,41,35,39,28,56,59,62,72,101,118,159,120,46,49,41,27,10 
        (Mx): 30,18,13,16,11,16,15,11,20,24,44,42,30,37,31,32,41,32,20,39,82,151,122,91,106,124,81,68,59,48,29,3 
        (A ): 74,61,36,32,30,39,37,31,40,41,80,84,59,63,74,86,86,77,49,97,145,223,203,200,251,314,235,121,111,90,56,13 
        (B ): 4,5,4,4,10,1,11,12,18,26,37,34,41,32,22,31,16,17,14,18,21,43,38,51,59,46,45,19,25,19,9,0 
        %Mx(A): 40.5,31.5,38.2,53.3,36.6,43.2,44.1,37.9,51.2,63.1,60.2,54.5,54.5,58.7,47.6,43.8,53.9,45,41.6,41,58.1,70.8,62.8,47.3,47.3,43.8,40.2,59.6,54.6,53.9,51.7,23 
        %B: 5.1,7.5,10,11.1,25,2.5,22.9,27.9,31,38.8,31.6,28.8,41,33.6,22.9,26.4,15.6,18,22.2,15.6,12.6,16.1,15.7,20.3,19,12.7,16,13.5,18.3,17.4,13.8,0 
        
        Europe: 41 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 304,488,718,1042,1321,1722,1946,2253,2191,1787,1553,1312,1075,733,612,453,275,195,91,48,14,5,11,3,4,2,1,1,0,1,0,0 
        (Mx): 11,21,17,27,26,18,39,61,59,44,50,48,44,25,25,7,2,6,3,1,1,1,0,0,0,0,1,0,0,0,0,0 
        (A ): 490,686,1042,1536,2033,2853,3868,4770,4867,3747,3405,2710,2211,1329,1090,801,501,321,156,87,41,21,24,18,12,4,8,5,3,7,2,0 
        (B ): 24,27,35,75,84,133,179,278,267,301,310,400,358,272,223,233,154,111,82,72,35,29,34,41,12,11,10,8,14,4,5,0 
        %Mx(A): 3.4,4.1,2.3,2.5,1.9,1,1.9,2.6,2.6,2.4,3.1,3.5,3.9,3.2,3.9,1.5,.7,2.9,3.1,2,6.6,16.6,0,0,0,0,50,0,-,0,-,- 
        %B: 4.6,3.7,3.2,4.6,3.9,4.4,4.4,5.5,5.2,7.4,8.3,12.8,13.9,16.9,16.9,22.5,23.5,25.6,34.4,45.2,46,58,58.6,69.4,50,73.3,55.5,61.5,82.3,36.3,71.4,- 
        
        North Africa: 6 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 54,62,57,38,23,9,15,17,12,7,7,0,5,4,0,2,1,0,0,1,0,0,2,0,0,1,0,0,0,0,0,0 
        (Mx): 0,0,0,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0 
        (A ): 54,62,58,38,24,10,16,19,13,7,8,2,7,4,3,2,1,0,0,1,0,1,2,0,0,2,0,0,0,0,0,0 
        (B ): 0,1,0,1,0,1,1,2,1,1,1,2,2,3,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        %Mx(A): 0,0,0,0,4.1,10,0,0,0,0,0,100,16.6,0,100,0,0,-,-,0,-,-,0,-,-,50,-,-,-,-,-,- 
        %B: 0,1.5,0,2.5,0,9,5.8,9.5,7.1,12.5,11.1,50,22.2,42.8,0,0,75,100,-,0,-,0,0,-,-,0,-,-,-,-,-,- 
        
        South Africa: 23 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 23,22,15,11,15,16,20,24,39,37,16,37,26,38,17,21,31,16,12,32,42,29,43,52,78,71,68,48,65,55,10,0 
        (Mx): 4,6,10,16,7,13,30,18,4,11,22,20,15,19,7,6,5,2,0,1,2,17,1,2,0,3,3,7,0,1,1,0 
        (A ): 30,31,27,30,23,31,55,44,44,49,40,59,44,64,28,35,37,18,12,35,49,47,47,55,85,74,73,57,69,71,24,0 
        (B ): 13,10,3,21,18,25,24,20,26,23,12,12,19,27,15,27,17,8,14,17,17,10,18,22,34,34,25,41,44,40,31,0 
        %Mx(A): 14.8,21.4,40,59.2,31.8,44.8,60,42.8,9.3,22.9,57.8,35,36.5,33.3,29.1,22.2,13.8,11.1,0,3,4.5,36.9,2.2,3.7,0,4,4.2,12.7,0,1.7,9,- 
        %B: 30.2,24.3,10,41.1,43.9,44.6,30.3,31.2,37.1,31.9,23,16.9,30.1,29.6,34.8,43.5,31.4,30.7,53.8,32.6,25.7,17.5,27.6,28.5,28.5,31.4,25.5,41.8,38.9,36,56.3,- 
        
        Ozeania: 6 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 41,33,51,13,11,18,8,8,12,8,15,10,17,7,7,13,13,13,14,15,27,30,42,75,99,229,424,557,399,264,236,0 
        (Mx): 12,8,8,8,2,5,6,3,8,2,3,0,2,0,3,6,1,4,1,2,1,4,4,7,12,21,41,36,32,3,3,0 
        (A ): 53,41,59,22,14,24,14,11,20,10,18,10,19,8,10,19,14,17,17,19,30,39,63,116,137,274,500,630,464,267,240,0 
        (B ): 29,29,23,30,11,17,29,26,19,33,30,24,28,27,27,16,23,25,20,26,26,19,29,41,50,86,114,178,141,124,102,0 
        %Mx(A): 22.6,19.5,13.5,38,15.3,21.7,42.8,27.2,40,20,16.6,0,10.5,0,30,31.5,7.1,23.5,6.6,11.7,3.5,11.7,8.600001,8.5,10.8,8.399999,8.8,6,7.4,1.1,1.2,- 
        %B: 35.3,41.4,28,57.6,44,41.4,67.4,70.2,48.7,76.7,62.5,70.5,59.5,77.1,72.9,45.7,62.1,59.5,54,57.7,46.4,32.7,31.5,26.1,26.7,23.8,18.5,22,23.3,31.7,29.8,- 
        
        West Asia: 9 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 137,70,113,60,51,23,37,41,31,24,11,16,9,3,7,2,3,1,0,0,0,0,3,0,2,0,0,0,0,0,1,0 
        (Mx): 6,14,7,5,5,6,13,7,12,25,30,43,40,38,30,29,12,7,3,5,8,1,2,0,4,2,1,0,1,1,0,0 
        (A ): 168,93,124,67,64,41,63,61,61,69,48,74,61,50,42,34,15,9,4,5,8,1,6,3,12,4,2,0,1,1,1,0 
        (B ): 20,24,37,33,39,34,48,30,33,27,25,29,29,20,17,14,7,7,10,9,7,6,1,5,2,0,0,0,3,0,0,0 
        %Mx(A): 4.1,16.6,5.8,7.6,8.899999,20.6,26,14.5,27.9,51,73.1,72.8,81.6,92.6,81,93.5,80,87.5,100,100,100,100,40,-,66.6,100,100,-,100,100,0,- 
        %B: 10.6,20.5,22.9,33,37.8,45.3,43.2,32.9,35.1,28.1,34.2,28.1,32.2,28.5,28.8,29.1,31.8,43.7,71.4,64.2,46.6,85.7,14.2,62.5,14.2,0,0,-,75,0,0,- 
        
        East Asia: 16 countries
        (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
        (H3): 425,780,1319,899,1002,855,885,892,837,886,962,928,965,586,583,507,484,464,664,836,994,825,708,557,492,522,565,594,618,693,499,0 
        (Mx): 10,8,9,6,9,15,25,18,13,40,59,122,136,92,90,87,59,42,40,38,33,22,27,24,14,28,44,30,33,43,38,0 
        (A ): 445,801,1350,917,1032,896,949,955,895,990,1094,1124,1166,712,698,617,577,527,749,918,1058,886,767,610,536,600,657,681,691,787,581,0 
        (B ): 1131,1598,1483,1012,1713,2052,2714,2997,2581,2339,1986,1488,1155,681,611,427,273,152,105,97,82,65,68,67,52,58,93,96,73,75,26,0 
        %Mx(A): 2.2,1,.6,.6,.8,1.7,2.7,1.9,1.5,4.3,5.7,11.6,12.3,13.5,13.3,14.6,10.8,8.3,5.6,4.3,3.2,2.5,3.6,4.1,2.7,5,7.2,4.8,5,5.8,7,- 
        %B: 71.7,66.6,52.3,52.4,62.4,69.6,74,75.8,74.2,70.2,64.4,56.9,49.7,48.8,46.6,40.9,32.1,22.3,12.2,9.5,7.1,6.8,8.100001,9.8,8.8,8.8,12.4,12.3,9.5,8.7,4.2,-
        I'm interested in expert panflu damage estimates
        my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

        Comment


        • #64
          Re: Cocirculation of Influenza Viruses

          bump
          updating ...

          http://apps.who.int/globalatlas/auto...unet_login.asp

          fnz2010.bas


          Code:
          weeks 25...41 , one old H1 in week 29 in Ecuador
          
          all: 123 countries
          (H1): 0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 1059,1268,1441,1326,1469,1382,1166,1130,808,739,470,414,343,245,132,98 
          (Mx): 302,300,225,200,203,174,151,176,186,161,163,203,160,128,85,73 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 1487,1684,1814,1695,1881,1708,1460,1447,1157,1059,802,714,582,408,230,187 
          (B ): 473,435,529,489,448,455,450,422,487,442,436,525,407,299,161,96 
          %Mx(A): 22.1,19.1,13.5,13,12.1,11.1,11.4,13.4,18.7,17.8,25.7,32.9,31.8,34.3,39.1,42.6 
          %B: 24.1,20.5,22.5,22.3,19.2,21,23.5,22.5,29.6,29.4,35.2,42.3,41.1,42.2,41.1,33.9 
          
          North America: 3 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 35,17,40,22,49,66,66,74,45,33,19,8,9,6,10,0 
          (Mx): 3,7,4,1,2,2,4,7,8,1,1,0,2,0,0,0 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 61,39,61,39,66,77,81,91,68,51,33,19,29,7,10,0 
          (B ): 128,63,48,50,32,39,27,29,27,24,35,48,46,13,11,3 
          %Mx(A): 7.8,29.1,9,4.3,3.9,2.9,5.7,8.6,15,2.9,5,0,18.1,0,0,- 
          %B: 67.7,61.7,44,56.1,32.6,33.6,25,24.1,28.4,32,51.4,71.6,61.3,65,52.3,100 
          
          Middle America: 9 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 5,9,5,6,3,2,4,12,6,8,9,5,12,7,0,0 
          (Mx): 31,31,15,10,6,13,8,6,7,9,3,2,9,0,0,0 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 37,41,20,17,11,15,14,18,15,17,12,7,21,7,0,0 
          (B ): 44,39,55,63,51,52,37,31,35,48,57,51,44,22,0,0 
          %Mx(A): 86.1,77.5,75,62.5,66.6,86.6,66.6,33.3,53.8,52.9,25,28.5,42.8,0,-,- 
          %B: 54.3,48.7,73.3,78.7,82.2,77.6,72.5,63.2,70,73.8,82.6,87.9,67.6,75.8,-,- 
          
          South America: 10 countries
          (H1): 0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 175,156,171,138,121,109,73,92,78,67,60,56,32,35,12,12 
          (Mx): 201,163,122,103,100,69,55,73,69,61,51,42,24,13,1,3 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 401,336,323,267,242,192,156,217,209,203,175,123,75,62,17,16 
          (B ): 94,81,78,76,58,63,66,73,76,83,70,94,64,60,31,36 
          %Mx(A): 53.4,51,41.6,42.5,45.2,38.7,42.9,44.2,46.9,47.6,45.9,42.8,42.8,27,7.6,20 
          %B: 18.9,19.4,19.4,22.1,19.3,24.7,29.7,25.1,26.6,29,28.5,43.3,46,49.1,64.5,69.2 
          
          Europe: 40 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 2,1,1,1,4,4,4,4,6,1,3,2,4,6,2,7 
          (Mx): 1,1,0,0,0,1,0,2,1,3,1,1,0,1,4,1 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 5,8,5,5,10,7,9,7,11,4,6,4,11,12,12,17 
          (B ): 17,11,10,15,6,11,10,3,1,3,4,9,15,16,4,9 
          %Mx(A): 33.3,50,0,0,0,20,0,33.3,14.2,75,25,33.3,0,14.2,66.6,12.5 
          %B: 77.2,57.8,66.6,75,37.5,61.1,52.6,30,8.3,42.8,40,69.2,57.6,57.1,25,34.6 
          
          North Africa: 4 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0 
          (Mx): 1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 2,0,0,0,0,1,0,0,0,0,0,2,0,1,0,0 
          (B ): 6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1 
          %Mx(A): 50,-,-,-,-,0,-,-,-,-,-,50,-,0,-,- 
          %B: 75,100,-,-,-,0,-,-,-,-,-,0,-,0,-,100 
          
          South Africa: 25 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 79,72,55,74,99,98,60,79,65,54,30,41,42,51,57,54 
          (Mx): 6,9,12,8,7,5,2,3,4,0,1,3,3,11,4,1 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 85,83,69,86,118,105,66,90,75,54,31,44,45,62,62,56 
          (B ): 36,28,43,55,60,69,62,68,102,88,67,65,60,28,38,7 
          %Mx(A): 7,11.1,17.9,9.7,6.6,4.8,3.2,3.6,5.7,0,3.2,6.8,6.6,17.7,6.5,1.8 
          %B: 29.7,25.2,38.3,39,33.7,39.6,48.4,43,57.6,61.9,68.3,59.6,57.1,31.1,38,11.1 
          
          Ozeania: 6 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 230,433,563,457,491,466,385,450,246,232,93,77,57,15,3,3 
          (Mx): 21,41,36,38,31,28,19,17,14,8,2,5,2,0,0,1 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 274,499,635,572,623,575,462,512,312,283,147,122,83,18,3,4 
          (B ): 86,115,185,143,150,145,137,114,121,118,68,70,40,18,5,4 
          %Mx(A): 8.3,8.6,6,7.6,5.9,5.6,4.7,3.6,5.3,3.3,2.1,6,3.3,0,0,25 
          %B: 23.8,18.7,22.5,20,19.4,20.1,22.8,18.2,27.9,29.4,31.6,36.4,32.5,50,62.5,50 
          
          West Asia: 9 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0 
          (Mx): 2,1,0,1,1,0,1,0,0,0,2,3,2,0,2,1 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 4,2,0,1,1,1,2,0,0,0,2,3,2,0,2,1 
          (B ): 0,0,2,4,0,2,0,0,0,0,0,1,1,0,0,0 
          %Mx(A): 100,100,-,100,100,0,100,-,-,-,100,100,100,-,100,100 
          %B: 0,0,100,80,0,66.6,0,-,-,-,0,25,33.3,-,0,0 
          
          East Asia: 17 countries
          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (H3): 532,580,606,628,702,635,574,419,362,344,256,224,187,124,48,22 
          (Mx): 36,47,36,39,56,56,62,68,83,79,102,146,118,103,74,66 
          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
          (A ): 618,676,701,708,810,735,670,512,467,447,396,390,316,239,124,93 
          (B ): 62,94,108,83,91,74,111,104,125,78,135,187,137,142,72,36 
          %Mx(A): 6.3,7.4,5.6,5.8,7.3,8.1,9.7,13.9,18.6,18.6,28.4,39.4,38.6,45.3,60.6,75 
          %B: 9.1,12.2,13.3,10.4,10,9.1,14.2,16.8,21.1,14.8,25.4,32.4,30.2,37.2,36.7,27.9


          in East Asia H3 had been dominant but is decreasing since week 30, while Mx=H1N1pdm2009
          is increasing. So it's unclear what USA,Europe will get - probably both.
          If we could choose now, what would we prefer ?

          China:H3 , India:H1
          I'm interested in expert panflu damage estimates
          my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

          Comment


          • #65
            Re: Cocirculation of Influenza Viruses

            Code:
            weeks 26..45
            
            all: 125 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 1068,1268,1451,1331,1469,1386,1171,1143,832,777,538,458,400,303,267,298,324,333,235,245 
            (Mx): 304,300,227,201,206,179,157,180,195,183,192,227,176,154,153,169,123,94,100,106 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 1504,1684,1826,1700,1884,1719,1471,1464,1193,1092,862,792,686,548,478,548,549,522,453,514 
            (B ): 480,440,533,485,451,455,469,454,492,472,468,562,454,421,425,468,395,373,244,241 
            %Mx(A): 22.1,19.1,13.5,13.1,12.2,11.4,11.8,13.6,18.9,19,26.3,33.1,30.5,33.6,36.4,36.1,27.5,22,29.8,30.1 
            %B: 24.1,20.7,22.5,22.1,19.3,20.9,24.1,23.6,29.1,30.1,35.1,41.5,39.8,43.4,47,46,41.8,41.6,35,31.9 
            
            North America: 3 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 35,17,40,22,49,66,66,72,49,41,41,23,38,23,79,71,134,162,133,141 
            (Mx): 3,7,4,1,2,2,4,8,8,1,1,0,5,3,3,7,5,2,3,8 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 61,39,61,39,66,77,81,89,72,59,55,33,66,47,93,107,198,229,216,281 
            (B ): 128,63,48,50,32,39,27,29,28,32,42,56,53,62,92,120,145,180,142,155 
            %Mx(A): 7.8,29.1,9,4.3,3.9,2.9,5.7,10,14,2.3,2.3,0,11.6,11.5,3.6,8.9,3.5,1.2,2.2,5.3 
            %B: 67.7,61.7,44,56.1,32.6,33.6,25,24.5,28,35.1,43.2,62.9,44.5,56.8,49.7,52.8,42.2,44,39.6,35.5 
            
            Middle America: 9 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 5,9,5,6,3,2,4,12,6,8,9,6,12,10,20,21,14,10,0,1 
            (Mx): 31,31,15,9,7,13,8,6,7,9,3,2,9,4,6,7,2,3,0,0 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 37,41,20,16,12,15,14,18,15,17,14,8,22,15,27,44,24,15,1,1 
            (B ): 44,39,55,63,51,52,37,31,35,48,57,54,46,33,73,58,57,34,1,1 
            %Mx(A): 86.1,77.5,75,60,70,86.6,66.6,33.3,53.8,52.9,25,25,42.8,28.5,23,25,12.5,23,-,0 
            %B: 54.3,48.7,73.3,79.7,80.9,77.6,72.5,63.2,70,73.8,80.2,87,67.6,68.7,73,56.8,70.3,69.3,50,50 
            
            South America: 11 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 175,156,172,141,120,111,74,93,79,78,76,61,41,52,38,45,26,6,8,0 
            (Mx): 203,163,122,105,100,71,54,73,71,80,74,44,28,22,18,14,18,5,5,0 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 409,336,324,271,241,198,158,224,215,216,184,145,107,122,85,81,54,14,15,0 
            (B ): 101,86,83,76,62,64,68,77,74,96,87,102,82,93,87,79,52,35,14,0 
            %Mx(A): 53.7,51,41.4,42.6,45.4,39,42.1,43.9,47.3,50.6,49.3,41.9,40.5,29.7,32.1,23.7,40.9,45.4,38.4,- 
            %B: 19.8,20.3,20.3,21.9,20.4,24.4,30,25.5,25.6,30.7,32.1,41.2,43.3,43.2,50.5,49.3,49,71.4,48.2,- 
            
            Europe: 40 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 2,1,1,1,4,4,4,4,6,1,3,2,4,6,3,7,15,14,8,10 
            (Mx): 1,1,0,0,0,1,0,2,1,3,1,1,0,1,4,2,5,9,14,18 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 5,8,5,5,10,7,9,7,11,4,6,4,11,12,11,18,28,29,48,51 
            (B ): 17,11,10,15,6,11,10,3,1,3,4,9,15,16,5,10,10,13,21,36 
            %Mx(A): 33.3,50,0,0,0,20,0,33.3,14.2,75,25,33.3,0,14.2,57.1,22.2,25,39.1,63.6,64.2 
            %B: 77.2,57.8,66.6,75,37.5,61.1,52.6,30,8.3,42.8,40,69.2,57.6,57.1,31.2,35.7,26.3,30.9,30.4,41.3 
            
            North Africa: 5 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 1,0,1,0,0,2,1,3,0,2,3,5,2,1,0,0,0,0,0,0 
            (Mx): 1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 2,0,1,0,0,2,1,3,0,2,3,6,2,1,0,0,2,0,0,0 
            (B ): 6,4,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,0,1,0 
            %Mx(A): 50,-,0,-,-,0,0,0,-,0,0,16.6,0,0,-,-,-,-,-,- 
            %B: 75,100,0,-,-,0,0,0,-,0,0,0,0,0,100,100,33.3,-,100,- 
            
            South Africa: 25 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 79,72,62,76,100,98,60,83,71,56,31,46,43,52,51,58,50,45,33,65 
            (Mx): 6,9,13,8,7,5,3,3,6,0,3,5,3,11,5,11,19,27,17,29 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 85,83,77,88,119,105,67,94,84,56,34,51,46,63,59,70,71,74,50,94 
            (B ): 36,28,42,51,59,64,63,67,101,88,65,66,60,32,27,19,38,39,18,28 
            %Mx(A): 7,11.1,17.3,9.5,6.5,4.8,4.7,3.4,7.7,0,8.8,9.8,6.5,17.4,8.9,15.9,27.5,37.5,34,30.8 
            %B: 29.7,25.2,35.2,36.6,33.1,37.8,48.4,41.6,54.5,61.1,65.6,56.4,56.6,33.6,31.3,21.3,34.8,34.5,26.4,22.9 
            
            Ozeania: 6 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 230,433,563,457,491,466,388,457,259,245,102,78,60,17,10,6,8,3,0,6 
            (Mx): 21,41,36,38,33,29,24,17,14,8,2,7,8,5,8,9,2,0,0,0 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 274,499,635,572,625,576,468,514,324,286,147,121,98,25,19,15,10,3,0,6 
            (B ): 86,115,185,143,150,147,140,114,121,118,70,72,45,29,17,15,8,2,1,1 
            %Mx(A): 8.3,8.6,6,7.6,6.2,5.8,5.8,3.5,5.1,3.1,1.9,8.2,11.7,22.7,44.4,60,20,0,-,0 
            %B: 23.8,18.7,22.5,20,19.3,20.3,23,18.1,27.1,29.2,32.2,37.3,31.4,53.7,47.2,50,44.4,40,100,14.2 
            
            West Asia: 9 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 0,0,0,0,0,1,0,0,0,1,0,5,6,3,4,0,0,0,3,4 
            (Mx): 2,1,0,1,1,0,1,0,0,0,2,5,2,1,3,5,7,4,5,3 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 4,2,0,1,1,1,2,0,0,1,2,10,8,4,10,6,13,11,8,7 
            (B ): 0,0,2,4,0,2,0,0,0,0,0,1,1,1,1,3,4,4,0,4 
            %Mx(A): 100,100,-,100,100,0,100,-,-,0,100,50,25,25,42.8,100,100,100,62.5,42.8 
            %B: 0,0,100,80,0,66.6,0,-,-,0,0,9,11.1,20,9,33.3,23.5,26.6,0,36.3 
            
            East Asia: 17 countries
            (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (H3): 541,580,607,628,702,636,574,419,362,345,273,232,194,139,62,90,77,93,50,18 
            (Mx): 36,47,37,39,56,58,63,71,88,82,106,162,121,107,106,114,65,44,56,48 
            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
            (A ): 627,676,703,708,810,738,671,515,472,451,417,414,326,259,174,207,149,147,115,74 
            (B ): 62,94,108,83,91,76,124,133,132,87,143,202,152,155,121,163,80,66,46,16 
            %Mx(A): 6.2,7.4,5.7,5.8,7.3,8.3,9.8,14.4,19.5,19.2,27.9,41.1,38.4,43.4,63,55.8,45.7,32.1,52.8,72.7 
            %B: 8.9,12.2,13.3,10.4,10,9.3,15.5,20.5,21.8,16.1,25.5,32.7,31.7,37.4,41,44,34.9,30.9,28.5,17.7

            India,Mx:60,81,42,36,52,44
            India,H3:0,0,0,0,0,0

            China,Mx:3,2,1,0,0,-
            China,H3:41,45,48,52,26,-

            Thailand:Mx,Cambodia:H3,Vietnam:H3,Indonesia:Mx(?) ,
            Japan:H3,Philippines:H3,Australia:H3

            [India-->Europe,China-->USA]
            I'm interested in expert panflu damage estimates
            my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

            Comment


            • #66
              Re: Cocirculation of Influenza Viruses

              all: 99 countries
              (H1): 0,0,0,0
              (H3): 627,615,110,44
              (Mx): 152,101,97,59
              (H5): 0,0,0,0
              (A ): 1123,1285,296,130
              (B ): 507,478,188,51
              %Mx(A): 19.5,14.1,46.8,57.2
              %B: 31.1,27.1,38.8,28.1

              North America: 3 countries
              (H1): 0,0,0,0
              (H3): 388,351,0,0
              (Mx): 11,4,0,0
              (H5): 0,0,0,0
              (A ): 671,846,0,0
              (B ): 236,247,0,0
              %Mx(A): 2.7,1.1,-,-
              %B: 26,22.5,-,-

              Middle America: 9 countries
              (H1): 0,0,0,0
              (H3): 16,2,0,0
              (Mx): 7,5,0,0
              (H5): 0,0,0,0
              (A ): 27,8,0,0
              (B ): 28,9,4,0
              %Mx(A): 30.4,71.4,-,-
              %B: 50.9,52.9,100,-

              South America: 9 countries
              (H1): 0,0,0,0
              (H3): 5,0,0,0
              (Mx): 4,1,0,0
              (H5): 0,0,0,0
              (A ): 26,6,0,0
              (B ): 34,25,0,0
              %Mx(A): 44.4,100,-,-
              %B: 56.6,80.6,-,-

              Europe: 41 countries
              (H1): 0,0,0,0
              (H3): 22,39,17,10
              (Mx): 22,19,22,3
              (H5): 0,0,0,0
              (A ): 71,105,90,15
              (B ): 63,77,89,19
              %Mx(A): 50,32.7,56.4,23
              %B: 47,42.3,49.7,55.8

              North Africa: 2 countries
              (H1): 0,0,0,0
              (H3): 1,2,0,0
              (Mx): 0,0,0,0
              (H5): 0,0,0,0
              (A ): 1,2,0,0
              (B ): 2,5,8,0
              %Mx(A): 0,0,-,-
              %B: 66.6,71.4,100,-

              South Africa: 12 countries
              (H1): 0,0,0,0
              (H3): 30,10,7,1
              (Mx): 28,30,38,16
              (H5): 0,0,0,0
              (A ): 58,41,51,17
              (B ): 31,18,33,1
              %Mx(A): 48.2,75,84.4,94.1
              %B: 34.8,30.5,39.2,5.5

              Ozeania: 3 countries
              (H1): 0,0,0,0
              (H3): 9,0,1,4
              (Mx): 9,2,2,2
              (H5): 0,0,0,0
              (A ): 18,2,3,6
              (B ): 14,2,0,0
              %Mx(A): 50,100,66.6,33.3
              %B: 43.7,50,0,0

              West Asia: 8 countries
              (H1): 0,0,0,0
              (H3): 2,7,1,7
              (Mx): 11,4,14,24
              (H5): 0,0,0,0
              (A ): 31,24,40,54
              (B ): 12,5,9,23
              %Mx(A): 84.6,36.3,93.3,77.4
              %B: 27.9,17.2,18.3,29.8

              East Asia: 12 countries
              (H1): 0,0,0,0
              (H3): 154,204,84,22
              (Mx): 60,36,21,14
              (H5): 0,0,0,0
              (A ): 220,251,112,38
              (B ): 87,90,45,8
              %Mx(A): 28,15,20,38.8
              %B: 28.3,26.3,28.6,17.3
              I'm interested in expert panflu damage estimates
              my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

              Comment


              • #67
                Re: Cocirculation of Influenza Viruses

                9 (!) old H1N1 viruses detected.
                7 in Jamaica, 1 in Bolivia, 1 in Poland
                it will be interesting to see where the Jamaica viruses came from, whether they survived
                summer in Jamaica . Will we see old H1N1 coming back ?
                (unlikely IMO, Jamaica is a sink of human flu-evolution, East Asia(India ?) is the source)


                weeks 40..52
                because of the year-change, it's easier to handle 2013 separately later

                Code:
                all: 120 countries
                (H1): 0,1,1,0,0,1,1,4,0,0,0,1 
                (H3): 391,414,411,467,644,765,1094,1586,2659,3702,3755,3255 
                (Mx): 204,180,155,137,193,193,159,181,234,317,358,375 
                (H5): 0,0,0,0,0,0,0,0,0,1,0,0 
                (A ): 725,782,752,825,1080,1324,1893,2609,4404,6280,5901,6436 
                (B ): 494,510,497,458,626,626,696,872,1140,1442,1737,1712 
                %Mx(A): 34.2,30.2,27.3,22.6,23,20.1,12.6,10.2,8,7.8,8.7,10.3 
                %B: 40.5,39.4,39.7,35.6,36.6,32.1,26.8,25,20.5,18.6,22.7,21 
                
                North America: 3 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,0 
                (H3): 71,142,178,228,343,455,727,1183,2082,3037,3187,2979 
                (Mx): 7,5,3,4,11,13,10,21,49,61,42,61 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 105,206,246,334,511,738,1268,1924,3524,5158,4608,5307 
                (B ): 124,152,191,209,314,322,396,562,796,924,1072,1112 
                %Mx(A): 8.9,3.4,1.6,1.7,3.1,2.7,1.3,1.7,2.2,1.9,1.3,2 
                %B: 54.1,42.4,43.7,38.4,38,30.3,23.7,22.6,18.4,15.1,18.8,17.3 
                
                Middle America: 9 countries
                (H1): 0,1,1,0,0,0,1,4,0,0,0,0 
                (H3): 23,15,19,23,30,27,21,7,12,4,0,0 
                (Mx): 30,34,19,10,13,16,18,17,13,0,2,0 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 82,80,71,44,51,56,52,37,27,4,2,0 
                (B ): 54,52,52,33,35,31,31,9,6,4,3,3 
                %Mx(A): 56.6,68,48.7,30.3,30.2,37.2,45,60.7,52,0,100,- 
                %B: 39.7,39.3,42.2,42.8,40.6,35.6,37.3,19.5,18.1,50,60,100 
                
                South America: 10 countries
                (H1): 0,0,0,0,0,1,0,0,0,0,0,0 
                (H3): 48,32,17,26,46,22,13,24,32,6,18,11 
                (Mx): 16,18,9,5,3,5,3,3,2,1,7,0 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 123,122,82,99,78,61,35,57,44,18,29,17 
                (B ): 109,109,98,79,84,50,48,41,31,25,27,17 
                %Mx(A): 25,36,34.6,16.1,6.1,17.8,18.7,11.1,5.8,14.2,28,0 
                %B: 46.9,47.1,54.4,44.3,51.8,45,57.8,41.8,41.3,58.1,48.2,50 
                
                Europe: 41 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,1 
                (H3): 7,15,19,19,23,26,41,42,90,155,221,206 
                (Mx): 2,6,11,17,25,23,19,35,62,153,200,217 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 18,31,38,62,74,74,104,117,211,444,780,950 
                (B ): 10,15,14,26,50,65,76,100,159,313,517,510 
                %Mx(A): 22.2,28.5,36.6,47.2,52,46.9,31.6,45.4,40.7,49.6,47.5,51.1 
                %B: 35.7,32.6,26.9,29.5,40.3,46.7,42.2,46,42.9,41.3,39.8,34.9 
                
                North Africa: 5 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,0 
                (H3): 14,21,5,8,16,28,38,26,23,27,31,9 
                (Mx): 0,0,0,0,2,1,4,0,3,3,6,9 
                (H5): 0,0,0,0,0,0,0,0,0,1,0,0 
                (A ): 14,21,5,8,18,29,42,26,26,31,37,18 
                (B ): 1,5,2,1,7,4,12,7,12,20,9,11 
                %Mx(A): 0,0,0,0,11.1,3.4,9.5,0,11.5,10,16.2,50 
                %B: 6.6,19.2,28.5,11.1,28,12.1,22.2,21.2,31.5,39.2,19.5,37.9 
                
                South Africa: 23 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,0 
                (H3): 120,99,68,47,51,37,19,21,10,5,14,6 
                (Mx): 20,32,50,19,53,52,47,49,35,30,30,9 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 142,132,125,66,106,89,67,77,48,36,45,15 
                (B ): 29,43,53,23,35,35,20,39,14,24,19,6 
                %Mx(A): 14.2,24.4,42.3,28.7,50.9,58.4,71.2,70,77.7,85.7,68.1,60 
                %B: 16.9,24.5,29.7,25.8,24.8,28.2,22.9,33.6,22.5,40,29.6,28.5 
                
                Ozeania: 4 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,0 
                (H3): 11,12,3,2,8,10,3,3,4,1,1,0 
                (Mx): 14,7,7,9,4,10,5,12,10,1,4,0 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 25,21,10,11,13,20,8,15,14,2,5,0 
                (B ): 23,18,6,8,10,15,4,3,2,2,1,0 
                %Mx(A): 56,36.8,70,81.8,33.3,50,62.5,80,71.4,50,80,- 
                %B: 47.9,46.1,37.5,42.1,43.4,42.8,33.3,16.6,12.5,50,16.6,- 
                
                West Asia: 9 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,0 
                (H3): 1,0,1,3,6,2,11,3,9,7,8,9 
                (Mx): 5,7,4,5,11,11,7,15,30,28,21,54 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 7,13,12,15,24,31,39,40,62,57,37,65 
                (B ): 3,4,4,1,9,12,7,9,24,20,15,21 
                %Mx(A): 83.3,100,80,62.5,64.7,84.6,38.8,83.3,76.9,80,72.4,85.7 
                %B: 30,23.5,25,6.2,27.2,27.9,15.2,18.3,27.9,25.9,28.8,24.4 
                
                East Asia: 16 countries
                (H1): 0,0,0,0,0,0,0,0,0,0,0,0 
                (H3): 96,78,101,111,121,158,221,277,397,460,275,35 
                (Mx): 110,71,52,68,71,62,46,29,30,40,46,25 
                (H5): 0,0,0,0,0,0,0,0,0,0,0,0 
                (A ): 209,156,163,186,205,226,278,316,448,530,358,64 
                (B ): 141,112,77,78,82,92,102,102,96,110,74,32 
                %Mx(A): 53.3,47.6,33.9,37.9,36.9,28.1,17.2,9.4,7,8,14.3,41.6 
                %B: 40.2,41.7,32,29.5,28.5,28.9,26.8,24.4,17.6,17.1,17.1,33.3


                China:
                H1:3,2,1,0,1,3,2,10,1,12,17,29,-
                H3:41,25,48,52,67,76,123,156,223,309,376,156,-
                B:4,6,17,14,19,9,35,31,18,36,37,25

                India:
                H1:60,81,42,36,53,49,43,26,19,9,9,4,9
                H3:0,1,0,1,0,1,1,1,3,2,5,1,1
                B:41,51,30,18,19,14,19,7,9,7,10,6,6

                -----------------------------------------------------
                2013:
                country,H1,H3,A,B (week1+week2)

                Canada,43+68,954+1265,3784+3729,73+83
                USA...,36,1783,3369,853
                France,66+43,34+19,200+168,136+121
                Italy.,4+14,0+2,5+17,11+23
                Poland,99+244,0+3,110+321,0+3
                SKorea,16+27,9+24,25+51,2+0

                weeks 1,2 : %B,%H1(A)
                Code:
                Canada,02.0,04.8
                USA...,20.2,02.0
                France,41.1,67.3
                Italy.,60.7,88.9
                Poland,00.7,99.1
                SKorea,02.6,56.6
                I'm interested in expert panflu damage estimates
                my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                Comment


                • #68
                  Re: Cocirculation of Influenza Viruses

                  downloading from flunet, I created the file fnalc, containing 265284=162+768+6888+8736
                  +9564+9732+9762+10866+11346+11256+11022+13044+1573 8+18756+25890+31068
                  +34548+36138 lines for 1995,...,2012 from 912=25+52+52+52+52+53+52+52+52+53+
                  52+52+52+52+53+52+52+52 weeks from 144 countries with weekly counts for
                  H1N1,H3N2,H1N1pdm)(****),H5N1,total A,total B

                  who wants it ? (took me ~ 4hours in total)
                  ahh, I wished I had included the B-lineage which was also available for some countries and years

                  ---------------------------------------------------------------

                  comparing how flu-A and flu-B are fighting each other in Asia

                  no A-pandemic killed flu-B yet, although in some years in some continents
                  B is almost absent


                  (I should better normalize this, maybe total samples in % of MA104
                  and B as % of total, also maybe distinguish H1 and H3)
                  Attached Files
                  I'm interested in expert panflu damage estimates
                  my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                  Comment


                  • #69
                    Re: Cocirculation of Influenza Viruses

                    weeks 1,2,3,4,5

                    Code:
                    all: 102 countries
                    (H1): 0,0,0,0,0 
                    (H3): 5202,5308,2368,630,1 
                    (Mx): 1084,1856,1795,1845,3 
                    (H5): 0,0,0,0,0 
                    (A ): 11857,12284,6242,3769,4 
                    (B ): 2284,2251,1866,1534,9 
                    %Mx(A): 17.2,25.9,43.1,74.5,75 
                    %B: 16.1,15.4,23,28.9,69.2 
                    
                    North America: 3 countries
                    (H1): 0,0,0,0,0 
                    (H3): 4407,4337,1585,0,0 
                    (Mx): 111,137,57,0,0 
                    (H5): 0,0,0,0,0 
                    (A ): 8953,8372,2522,0,0 
                    (B ): 1173,939,620,0,0 
                    %Mx(A): 2.4,3,3.4,-,- 
                    %B: 11.5,10,19.7,-,- 
                    
                    Middle America: 8 countries
                    (H1): 0,0,0,0,0 
                    (H3): 1,6,3,0,0 
                    (Mx): 1,5,12,0,0 
                    (H5): 0,0,0,0,0 
                    (A ): 2,12,17,0,0 
                    (B ): 3,2,1,0,0 
                    %Mx(A): 50,45.4,80,-,- 
                    %B: 60,14.2,5.5,-,- 
                    
                    South America: 7 countries
                    (H1): 0,0,0,0,0 
                    (H3): 32,35,13,1,0 
                    (Mx): 1,1,1,1,0 
                    (H5): 0,0,0,0,0 
                    (A ): 38,38,14,2,0 
                    (B ): 22,21,4,0,0 
                    %Mx(A): 3,2.7,7.1,50,- 
                    %B: 36.6,35.5,22.2,0,- 
                    
                    Europe: 41 countries
                    (H1): 0,0,0,0,0 
                    (H3): 373,367,432,396,0 
                    (Mx): 854,1526,1545,1645,0 
                    (H5): 0,0,0,0,0 
                    (A ): 2301,3064,3143,3292,0 
                    (B ): 960,1131,1136,1456,0 
                    %Mx(A): 69.6,80.6,78.1,80.5,- 
                    %B: 29.4,26.9,26.5,30.6,- 
                    
                    North Africa: 3 countries
                    (H1): 0,0,0,0,0 
                    (H3): 5,5,6,6,1 
                    (Mx): 6,14,27,16,2 
                    (H5): 0,0,0,0,0 
                    (A ): 11,19,33,22,3 
                    (B ): 12,19,6,14,9 
                    %Mx(A): 54.5,73.6,81.8,72.7,66.6 
                    %B: 52.1,50,15.3,38.8,75 
                    
                    South Africa: 18 countries
                    (H1): 0,0,0,0,0 
                    (H3): 1,6,9,2,0 
                    (Mx): 2,7,4,0,0 
                    (H5): 0,0,0,0,0 
                    (A ): 3,14,14,3,0 
                    (B ): 24,17,11,10,0 
                    %Mx(A): 66.6,53.8,30.7,0,- 
                    %B: 88.8,54.8,44,76.9,- 
                    
                    Ozeania: 1 countries
                    (H1): 0,0,0,0,0 
                    (H3): 3,2,7,6,0 
                    (Mx): 2,4,3,2,0 
                    (H5): 0,0,0,0,0 
                    (A ): 5,6,11,9,0 
                    (B ): 1,3,4,3,0 
                    %Mx(A): 40,66.6,30,25,- 
                    %B: 16.6,33.3,26.6,25,- 
                    
                    West Asia: 8 countries
                    (H1): 0,0,0,0,0 
                    (H3): 14,30,29,36,0 
                    (Mx): 49,59,90,115,1 
                    (H5): 0,0,0,0,0 
                    (A ): 80,101,144,189,1 
                    (B ): 34,49,36,15,0 
                    %Mx(A): 77.7,66.2,75.6,76.1,100 
                    %B: 29.8,32.6,20,7.3,0 
                    
                    East Asia: 13 countries
                    (H1): 0,0,0,0,0 
                    (H3): 366,520,284,183,0 
                    (Mx): 58,103,56,66,0 
                    (H5): 0,0,0,0,0 
                    (A ): 464,658,344,252,0 
                    (B ): 55,70,48,36,0 
                    %Mx(A): 13.6,16.5,16.4,26.5,- 
                    %B: 10.5,9.6,12.2,12.5,-
                    Japan:
                    H1:2,5,3,0
                    H3:55,214,142,46
                    B:2,9,10,4

                    India:
                    H1:13,18,11,7
                    H3:0,3,2,1
                    B:14,13,5,0

                    China:
                    H1:21,30
                    H3:280,205
                    B:19,14

                    Mexico:
                    H1:0,1,0
                    H3:24,41,6
                    B:41,31,6
                    I'm interested in expert panflu damage estimates
                    my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                    Comment


                    • #70
                      Re: Cocirculation of Influenza Viruses

                      Visual WHO week 3 http://www.who.int/influenza/surveil.../en/index.html

                      Comment


                      • #71
                        Re: Cocirculation of Influenza Viruses

                        yes, WHO has weekly graphics:

                        general: http://www.who.int/influenza/surveil.../en/index.html
                        virulogical:http://www.who.int/influenza/gisrs_l.../en/index.html

                        I'll put the link into the first post

                        here they also seem to have time-series:
                        http://www.who.int/influenza/gisrs_l.../en/index.html
                        but I only get errors:
                        Client found response content type of '', but expected 'text/xml'.
                        The request failed with an empty response.
                        Server Error in '/GAReports' Application.

                        copyright:
                        http://www.who.int/about/copyright/en/index.html


                        IMO the best is usually to download the whole database and to run
                        your own programs on the data. Same with genbank. More flexible.

                        But it seems that they don't want it, don't support it.

                        I cannot easily do the worldmaps though, since I don't have
                        the geografical data.

                        I saw that paper recently, that A-infection induces some shortterm immunity
                        for B, analyzing the 25 last US-seasons, and I thought it should be examined
                        worldwide ....
                        I'm interested in expert panflu damage estimates
                        my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                        Comment


                        • #72
                          Re: Cocirculation of Influenza Viruses

                          Code:
                          all: 117 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 5567,7009,6159,5072,3925,3307,2620,2327,2111,1586,1114,732,99 
                          (Mx): 1252,2209,2320,3451,3952,3700,3519,3301,3005,2458,1806,1189,68 
                          (H5): 0,1,1,3,0,2,2,0,0,0,0,0,0 
                          (A ): 12375,14466,13044,12890,11769,10589,9019,8180,7529,5856,4303,2600,197 
                          (B ): 2406,2667,2678,3364,4061,4325,4744,4807,4613,3921,3101,1634,88 
                          %Mx(A): 18.3,23.9,27.3,40.4,50.1,52.8,57.3,58.6,58.7,60.7,61.8,61.8,40.7 
                          %B: 16.2,15.5,17,20.6,25.6,28.9,34.4,37,37.9,40.1,41.8,38.5,30.8 
                          
                          North America: 3 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 4621,5220,4201,3076,2004,1625,1115,765,540,269,108,0,0 
                          (Mx): 127,165,218,206,211,201,137,130,135,48,12,0,0 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 9155,9513,7838,6114,4336,3258,2046,1607,1358,523,278,0,0 
                          (B ): 1206,1254,1168,1199,1195,1182,1171,1282,1325,1010,653,0,0 
                          %Mx(A): 2.6,3,4.9,6.2,9.5,11,10.9,14.5,20,15.1,10,-,- 
                          %B: 11.6,11.6,12.9,16.3,21.6,26.6,36.4,44.3,49.3,65.8,70.1,-,- 
                          
                          Middle America: 9 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 3,9,11,13,7,17,10,9,11,5,3,0,0 
                          (Mx): 1,5,12,3,10,8,11,20,13,6,3,0,2 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 4,14,27,18,21,26,23,30,27,14,6,0,2 
                          (B ): 3,4,9,4,15,14,6,8,5,2,3,0,0 
                          %Mx(A): 25,35.7,52.1,18.7,58.8,32,52.3,68.9,54.1,54.5,50,-,100 
                          %B: 42.8,22.2,25,18.1,41.6,35,20.6,21,15.6,12.5,33.3,-,0 
                          
                          South America: 9 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 44,56,41,32,26,35,8,13,16,7,10,4,5 
                          (Mx): 1,2,2,6,2,12,10,14,4,8,11,10,2 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 47,59,46,40,28,54,22,32,27,19,21,14,7 
                          (B ): 24,34,26,14,16,10,18,13,11,11,10,12,1 
                          %Mx(A): 2.2,3.4,4.6,15.7,7.1,25.5,55.5,51.8,20,53.3,52.3,71.4,28.5 
                          %B: 33.8,36.5,36.1,25.9,36.3,15.6,45,28.8,28.9,36.6,32.2,46.1,12.5 
                          
                          Europe: 41 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 405,443,566,619,896,901,937,912,961,876,657,499,13 
                          (Mx): 973,1668,1749,2045,2564,2576,2716,2439,2027,1596,1094,735,22 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 2465,3187,3351,4088,5133,5530,5664,5117,4647,4033,2937,1870,65 
                          (B ): 1016,1168,1236,1901,2555,2867,3255,3187,3017,2712,2294,1543,71 
                          %Mx(A): 70.6,79,75.5,76.7,74.1,74,74.3,72.7,67.8,64.5,62.4,59.5,62.8 
                          %B: 29.1,26.8,26.9,31.7,33.2,34.1,36.4,38.3,39.3,40.2,43.8,45.2,52.2 
                          
                          North Africa: 4 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 33,30,18,20,22,14,7,11,5,8,1,0,0 
                          (Mx): 6,14,28,17,30,48,41,50,77,44,10,9,3 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 39,44,46,38,53,64,52,64,82,52,11,9,3 
                          (B ): 17,23,14,24,26,43,58,57,34,20,11,8,0 
                          %Mx(A): 15.3,31.8,60.8,45.9,57.6,77.4,85.4,81.9,93.9,84.6,90.9,100,100 
                          %B: 30.3,34.3,23.3,38.7,32.9,40.1,52.7,47.1,29.3,27.7,50,47,0 
                          
                          South Africa: 22 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 9,7,15,16,18,15,18,18,20,4,27,4,0 
                          (Mx): 15,36,27,17,27,40,36,39,21,8,13,6,0 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 25,44,60,39,47,62,57,64,46,13,42,10,0 
                          (B ): 27,26,22,31,22,23,35,29,44,25,7,7,0 
                          %Mx(A): 62.5,83.7,64.2,51.5,60,72.7,66.6,68.4,51.2,66.6,32.5,60,- 
                          %B: 51.9,37.1,26.8,44.2,31.8,27,38,31.1,48.8,65.7,14.2,41.1,- 
                          
                          Ozeania: 3 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 7,11,16,17,15,17,14,9,14,6,7,7,5 
                          (Mx): 7,19,13,16,12,10,10,3,1,2,11,18,2 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 14,31,30,33,27,28,24,12,16,8,18,25,7 
                          (B ): 8,22,32,26,39,25,13,18,6,7,3,2,0 
                          %Mx(A): 50,63.3,44.8,48.4,44.4,37,41.6,25,6.6,25,61.1,72,28.5 
                          %B: 36.3,41.5,51.6,44,59,47.1,35.1,60,27.2,46.6,14.2,7.4,0 
                          
                          West Asia: 9 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 17,30,33,38,41,36,27,20,8,6,4,1,0 
                          (Mx): 51,62,106,285,415,384,139,89,44,28,10,9,3 
                          (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (A ): 86,105,169,361,517,478,220,149,93,65,42,22,3 
                          (B ): 51,38,45,29,25,23,48,63,17,25,30,19,9 
                          %Mx(A): 75,67.3,76.2,88.2,91,91.4,83.7,81.6,84.6,82.3,71.4,90,100 
                          %B: 37.2,26.5,21,7.4,4.6,4.5,17.9,29.7,15.4,27.7,41.6,46.3,75 
                          
                          East Asia: 16 countries
                          (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0 
                          (H3): 428,1203,1258,1241,896,647,484,570,536,405,297,217,76 
                          (Mx): 71,238,165,856,681,421,419,517,683,718,642,402,34 
                          (H5): 0,1,1,3,0,2,2,0,0,0,0,0,0 
                          (A ): 540,1469,1477,2159,1607,1089,911,1105,1233,1129,948,650,110 
                          (B ): 54,98,126,136,168,138,140,150,154,109,90,43,7 
                          %Mx(A): 14.2,16.5,11.5,40.8,43.1,39.4,46.4,47.5,56,63.9,68.3,64.9,30.9 
                          %B: 9,6.2,7.8,5.9,9.399999,11.2,13.3,11.9,11.1,8.8,8.600001,6.2,5.9
                          weeks 1..13,2013
                          China,H1:21,159,88,765,589,320,349,444,597,662,576 ,340,0
                          China,H3:280,563,497,417,282,136,140,127,215,183,1 41,61,0
                          China,B:19,28,21,33,26,6,10,17,25,27,27,16,0
                          India,H1:23,21,18,17,23,27,35,31,30,25,31,41,23
                          India,H3:1,3,2,1,2,6,5,8,14,22,31,39,24
                          India,B:12,10,10,1,11,7,21,12,9,7,9,3,0
                          I'm interested in expert panflu damage estimates
                          my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                          Comment


                          • #73
                            Re: Cocirculation of Influenza Viruses

                            China is having a H1 wave now.
                            After they had H3 for almost one year with little interruption.
                            Well, China is big and locally they may just have had one
                            or two waves lasting ~10 weeks, as usual

                            ------------------------------------------------------
                            China, weeks 1..14
                            A (not suptyped),40,21,48,55,25,19,4,18,11,5,8,22,0,0
                            A(H1N1)pdm09,21,159,88,765,589,320,349,444,597,662 ,576,441,99,88
                            A(H3),280,563,497,417,282,136,140,127,215,183,141, 97,26,34
                            B (Lineage not determined),17,10,15,16,19,4,7,7,15,12,11,10,0,0
                            B (Victoria lineage),0,8,4,3,0,0,2,5,4,6,7,2,3,2
                            B (Yamagata lineage),2,10,2,14,7,2,1,5,6,9,9,13,4,4
                            Total A,341,743,633,237,896,475,493,589,823,850,725,560, 125,122
                            Total A and B,360,771,654,1270,922,481,503,606,848,877,752,585 ,132,128
                            Total B,19,28,21,33,26,6,10,17,25,27,27,25,7,6
                            Total,0,5380,4875,5941,4797,2679,2968,3945,5858,57 66,5218,4208,0,0
                            Total,1217,7803,8392,8308,7739,5920,5293,7106,7979 ,7909,7300,1499,1550
                            Attached Files
                            I'm interested in expert panflu damage estimates
                            my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                            Comment


                            • #74
                              Re: Cocirculation of Influenza Viruses

                              I updated my file fnalk3 with 144 countries and weekly sample counts for 18 years for some countries. (week 20,2013)
                              [attached as fnalk3.gz, once the first person view or downloads it, I add some
                              explanations ...]

                              I looked at the charts, how H1 and H3 cocirculate and I thought that we need more detailed
                              information.
                              They should issue flu-sample-certificates with age,gender, exact location (city or coordinates),
                              day, outcome (serotype or negative), severety of infection, secondary conditions.
                              It should be possible with not so much effort.
                              Often the data exists in the labs, but WHO at flunet only wants the counts, so the details are stripped.
                              E.g. CDC has the counts for the 10 regions and China has it at least for N-, and S.- China bur
                              probably also splitted by province. South Africa looks as if the country were bipartite, fluwise.

                              Countries like USA,China are too big to throw everything in one pot, to just list the
                              sum only. E.g. there could be a H1-wave in one part of the country and a H3 wave in another,
                              the counts would not show this.


                              --------------------------------------------

                              ---fnalk3----


                              fnalk
                              160 countries
                              11 segments
                              1012 entries = 5+19*53 (last 33 entries of 2013 are zero)

                              1. old H1
                              2. Mx
                              3.H3
                              4.H5
                              5. all A
                              6. all B
                              7. victoria
                              8. yamagata
                              10. samples received (-2012)
                              11. samples processed (-2012)
                              9. spread-code (-2012)




                              0:no report
                              1: no activity
                              2:sporadic
                              3: local
                              4: regional
                              5: widespead

                              =======================================
                              Germany
                              season, %H1,%H3,%B

                              1984f,97,1,2
                              1985f,1,0,99
                              1986f,0,97,3
                              1987f,100,0,0
                              1988f,19,76,4
                              1989f,82,0,18
                              1990f,0,15,85
                              1991f,69,31,0
                              1992f,16,0,84
                              1993f,100,0,0
                              1994f,19,2,79
                              1995f,55,42,3
                              1996f,39,6,95
                              1997f,92,7,1
                              1998f,67,0,33
                              1999f,99,1,0
                              2000f,0,95,5
                              2001f,47,0,53
                              2002f,86,0,14
                              2003f,99,0,1
                              2004f,54,26,20
                              2005f,20,10,70
                              2006f,85,14,1
                              2007f,1,51,48
                              2008f,72,6,21
                              2009f,0,100,0
                              2010f,1,62,37
                              2011f,76,1,23

                              ========================

                              USA

                              season,%H1,%H3,%B
                              1977f,24,76,0
                              1978f,1,99,0
                              1979f,2,1,97
                              1980f,23,76,0
                              1981f,25,1,74
                              1982f,10,79,11
                              1983f,51,5,45
                              1984f,0,97,3
                              1985f,0,24,76
                              1986f,99,1,0
                              1987f,8,75,17
                              1988f,44,7,49
                              1989f,1,99,0
                              1990f,3,4,93
                              1991f,0,99,1
                              1992f,3,26,71
                              1993f,1,98,1
                              1994f,2,72,26
                              1995f,50,35,15
                              1996f,0,78,22
                              1997f,0,98,1
                              1998f,0,76,22
                              1999f,3,95,0
                              2000f,50,1,47
                              2001f,1,84,14
                              2002f,39,16,43
                              2003f,0,98,1
                              2004f,0,74,25
                              2005f,6,74,19
                              2006f,48,30,21
                              2007f,19,52,28
                              2008f,77,7,14
                              2009f,99,0,0
                              2010f,27,45,26
                              2011f,21,60,18
                              2012f,2,67,29
                              =============================

                              keywords:
                              collaborating influenza surveillance United States CDC season r94 report MMWR
                              18952 17881 2130 1359 1266 2313 2222 26732 2206 2532 2896 3920
                              36452 4377 3089 36764 4257 2785 4740 6509 5056 H1N1 H3N2
                              Attached Files
                              I'm interested in expert panflu damage estimates
                              my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                              Comment


                              • #75
                                Re: Cocirculation of Influenza Viruses

                                WHO has now the charts :


                                http://www.who.int/influenza/gisrs_l.../en/index.html

                                global
                                Northern hemisphere
                                Southern Hemisphere
                                select a country



                                http://gamapserver.who.int/gareports...spx?ReportNo=1

                                Hungary:
                                http://gamapserver.who.int/GAReports...eamID=C_9iT0_1

                                USA
                                Germany
                                Australia
                                China (getting H3 now)
                                New Zealand
                                India



                                the country-urls are long and contain many cryptic signs, this could be because WHO doesn't want
                                them to be posted here and the links will not work long ?!?

                                yes, indeed. The USA link no longer works after ~5 minutes and an error message
                                is displayed:

                                Description: An application error occurred on the server. The current custom error settings
                                for this application prevent the details of the application error from being viewed remotely
                                (for security reasons). It could, however, be viewed by browsers running on the local server machine.

                                Details: To enable the details of this specific error message to be viewable on remote machines,
                                please create a <customErrors> tag within a "web.config" configuration file located in the root
                                directory of the current web application. This <customErrors> tag should then have its "mode"
                                attribute set to "Off".

                                ...

                                and a description to make urls follows
                                maybe it's possible to post working links
                                ...trying to figure it out ...


                                well, that's only a method to modify the error-message


                                so you'll probably have to go to "select a country" each time,
                                select the country, wait some seconds
                                Last edited by gsgs; September 17th, 2013, 10:16 PM. Reason: added 2nd & 3rd lines
                                I'm interested in expert panflu damage estimates
                                my current links: [url]http://bit.ly/hFI7H[/url] ILI-charts: [url]http://bit.ly/CcRgT[/url]

                                Comment

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