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  • #46
    Re: Cocirculation of Influenza Viruses

    i must bump


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



    2011,weeks 1-15
    (H1): 0,0,0,0,0,0,0,0,0,0,2,0,0,0,0
    (H3): 2207,2216,2544,2435,2434,2296,2231,2014,1663,1353, 946,627,448,307,171
    (Mx): 4983,6620,8194,9199,8629,8934,7748,5300,4473,2819, 2179,1108,691,323,141
    (A ): 10688,12230,13562,14369,13764,13730,12583,9218,748 8,5165,3855,2267,1534,894,436
    (B ): 2725,3108,3379,3793,4275,4336,3924,3472,2968,2517, 2198,1605,1307,1038,639
    %Mx(A): 69.3,74.9,76.3,79,77.9,79.5,77.6,72.4,72.8,67.5,69 .6,63.8,60.6,51.2,45.1
    %B: 20.3,20.2,19.9,20.8,23.6,24,23.7,27.3,28.3,32.7,36 .3,41.4,46,53.7,59.4


    B dominant, H3 caught H1 after the H1 wave went down
    2 old H1 survived in Indonesia

    H3N2 in Australian summer:
    11,5,11,5,13,16,10,29,17,28,15,10,10,6,6

    Mexico:
    (H3):58,34,30,17,12,7,7,2,3,0,1,3,0
    (Mx):3,1,0,1,0,4,3,2,7,1,8,10,14
    (B):26,40,28,22,12,19,13,10,20,7,5,8,6
    I'm interested in expert panflu damage estimates
    my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

    Comment


    • #47
      Re: Cocirculation of Influenza Viruses

      Mexico update:
      week 1-15 (last 2 weeks usually incomplete)
      H3:58,34,30,18,12,7,7,2,3,0,1,3,2,1,1
      H1:3,1,0,1,0,4,3,2,8,3,12,18,46,13,8
      A?:5,4,1,5,1,4,4,3,2,4,0,2,1,0,1
      B?:19,30,12,13,9,12,7,10,15,2,3,8,14,3,1
      BV:7,10,16,9,3,7,6,0,5,5,2,1,0,0,0
      total :92,79,59,46,25,34,27,17,33,14,18,32,63,17,11
      total A:66,39,31,24,13,15,14,7,13,7,13,23,49,14,10
      total B:26,40,28,22,12,19,13,10,20,7,9,14,3,1
      specimens:268,333,349,292,233,231,257,204,287,191, 230,373,449,274,76

      Ecuador:
      (H1):85,59,32,26,19,13,13,0,0,0,0,0,0,0
      (H3):105,78,38,30,17,3,2,0,2,0,0,0,0,0
      (A?):31,33,25,0,20,31,7,21,4,2,0,0,0,0
      (B?):1,0,0,0,0,0,0,0,0,0,0,0,0,0

      Dominican Republic
      (H1):0,0,0,0,0,0,0,0,0,0,0,0,3,5
      (B?):1,0,0,0,0,0,0,0,0,0,0,0,2,0
      (samples):16,12,14,14,14,15,11,10,21,25,22,26,36,5 0

      Cuba:
      (H3):3,3,5,8,0,2,5,3,8,1,4,2,2,6
      (H1):0,1,0,2,0,0,1,1,1,0,1,0,0,0
      (sa):104,126,69,95,105,98,112,94,87,25,53,61,47,40

      Colombia:
      (H3):12,4,6,3,5,2,1,1,2,4,2,1,0
      (H1):5,4,0,2,3,1,0,3,1,2,1,2,0
      (sa):159,188,202,189,178,197,188,20,284,269,158,97 ,32
      I'm interested in expert panflu damage estimates
      my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

      Comment


      • #48
        Re: Cocirculation of Influenza Viruses

        2011/05/04 , weeks 1..17 , 2011
        (H1): 0,0,0,0,0,0,0,0,0,0,3,0,0,0,2,1,0
        (H3): 2207,2218,2551,2451,2444,2309,2236,2026,1678,1373, 971,648,485,332,232,83,7
        (Mx): 4912,6579,8207,9222,8650,8940,7757,5304,4480,2826, 2190,1134,732,348,187,94,8
        (A ): 9907,11871,13381,14358,13718,13714,12581,9218,7517 ,5193,3884,2314,1607,941,553,239,21
        (B ): 2343,2886,3208,3680,4204,4289,3908,3473,2980,2551, 2225,1628,1327,1090,848,374,33
        %Mx(A): 68.9,74.7,76.2,79,77.9,79.4,77.6,72.3,72.7,67.3,69 .2,63.6,60.1,51.1,44.4,52.8,53.3
        %B: 19.1,19.5,19.3,20.4,23.4,23.8,23.7,27.3,28.3,32.9, 36.4,41.2,45.2,53.6,60.5,61,61.1


        still 6 old seasonal H1N1 ! (3 in China, 1 in India , 2 in Indonesia)
        {and it may survive in swine, i.e. H1N2}

        Mexico:
        (H3):58,34,30,18,12,7,7,2,3,0,1,3,2,1,1,0
        (Mx):3,1,0,1,0,4,3,2,8,3,13,19,47,14,10,1
        (B):26,40,28,22,12,19,13,10,20,7,5,9,13,3,4,0
        I'm interested in expert panflu damage estimates
        my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

        Comment


        • #49
          Re: Cocirculation of Influenza Viruses

          2011, weeks 1..24

          Code:
          (H1): 0,0,0,0,0,0,0,0,0,0,3,0,3,4,2,0,0,0,0,0,0,0,0,0
          (H3): 2392,2360,2692,2529,2494,2357,2306,2072,1738,1428,996,711,525,405,339,216,151,87,69,50,57,34,39,25 
          (Mx): 5526,6983,8397,9374,8800,8974,7824,5398,4574,2798,2197,1190,772,382,270,148,118,57,79,110,122,162,104,25 
          (A ): 11830,12861,14005,14712,14059,13904,12849,9458,7715,5247,3937,2455,1714,1067,786,470,382,194,191,194,217,208,152,57 
          (B ): 2824,3210,3499,3945,4438,4485,4125,3651,3109,2625,2294,1710,1430,1183,980,723,557,341,308,262,194,141,125,94 
          %Mx(A): 69.7,74.7,75.7,78.7,77.9,79.1,77.2,72.2,72.4,66.2,68.7,62.5,59.3,48.2,44.1,40.6,43.8,39.5,53.3,68.7,68.1,82.6,72.7,50
          %B: 19.2,19.9,19.9,21.1,23.9,24.3,24.3,27.8,28.7,33.3,36.8,41,45.4,52.5,55.4,60.6,59.3,63.7,61.7,57.4,47.2,40.4,45.1,62.2

          5 old H1 in Mauritius (East of Madagascar)

          flu survives summer in Mauritius ?
          I'm interested in expert panflu damage estimates
          my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

          Comment


          • #50
            Re: Cocirculation of Influenza Viruses

            2011,weeks 1..29:
            Code:
            (H1): 0,0,0,0,0,0,0,0,0,0,3,0,3,4,2,0,0,0,0,0,0,0,0,0,0,0,1,10,0,0 
            (H3): 1239,1175,1283,1060,1074,915,792,867,1745,1445,1012,719,542,412,343,223,160,98,80,86,104,86,115,126,159,170,158,183,64,0 
            (Mx): 5528,6984,5653,6675,4977,3248,2302,3010,3193,2821,2210,1196,774,382,281,155,122,67,91,121,167,229,307,265,216,155,168,142,45,0 
            (A ): 6259,5313,6434,6267,5335,4210,3191,4839,3613,3329,2591,2472,1743,1076,799,483,395,216,217,248,330,360,455,444,425,365,338,357,123,0 
            (B ): 2823,3211,3500,3946,3319,3323,2754,2465,3112,2661,2332,1749,1460,1211,993,730,569,361,325,277,243,179,158,190,136,121,144,138,104,1 
            %Mx(A): 81.6,85.5,81.5,86.2,82.2,78.0,74.4,77.6,64.6,66.1,68.5,62.4,58.6,47.8,44.8,41,43.2,40.6,53.2,58.4,61.6,72.6,72.7,67.7,57.6,47.6,51.3,42.3,41.2,00.0
            %B:     31.0,37.6,35.2,38.6,38.3,44.1,46.3,33.7,46.2,44.4,47.3,41.4,45.5,52.9,55.4,60.1,59,62.5,59.9,52.7,42.4,33.2,25.7,29.9,24.2,24.8,29.8,27.8,45.8,99.9

            H3 is now slowly overcoming Mx again worldwide
            India:H3 since week 23
            Chile:Mx,B
            Brasil:H3
            Australia:H3 and Mx
            New Zealand:B
            South Africa:Mx
            Tanzania:Mx
            Singapore:H3
            Madagaskar:H1
            Kenya:H3
            Domin.:Mx
            Cuba:H3
            Cameroon:B
            Cambodia:Mx,B
            BanglaDesh:H3


            10 old H1 in week 27 in Vietnam

            -------update 2011/08/06, weeks 27..31-----------
            almost exactly 1/3 for each of the 3 (H3,Mx,B)
            H1:1,0,0,0,0
            H3: (183)222,250,157,123,2
            Mx: (142)221,172,160,133,0
            A: (357)555,600,394,272,2
            B: (148)168,174,175,138,1
            Australia:H1
            Argentina:H3
            Bangla Desh:H3
            Brazil:H3
            Cambodia:B
            Cameroon:B
            (Canada:H3)
            Chile:H1
            China:B
            (Ghana:H1,H3,B)
            India:H3
            (Kenya:H1,H3)
            (Madagascar:H1,H3,B)
            New Zealand:B
            Singapore:H3
            South Africa:Mx
            Thailand:H3
            Vietnam:Mx
            -----------------------------------------------------------------
            I'm interested in expert panflu damage estimates
            my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

            Comment


            • #51
              Re: Cocirculation of Influenza Viruses

              H3 and H1 are coexisting with H3 getting the edge since week 34

              China has H3 and B, almost no H1 (--->America)
              India,Thailand have H3 (-->Europe)
              Australia,Bolivia,Chile,Vietnam,Cambodia have H1
              Argentina,Cuba have H3 ; Brazil,Kenya mixed
              Bangla Desh has B

              Code:
              2011/10/02 , weeks 21...39
              (H1): 0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0 
              (H3): 113,104,132,146,190,222,264,310,315,330,282,263,251,235,254,286,166,165,6 
              (Mx): 169,248,321,292,261,229,327,309,304,268,287,311,263,205,224,149,145,68,1 
              (A ): 338,381,480,471,504,507,703,753,759,718,667,671,612,506,523,486,355,268,10 
              (B ): 252,204,184,203,155,139,191,199,222,233,256,231,279,237,211,171,195,85,0 
              %Mx(A): 59.9,70.4,70.8,66.6,57.8,50.7,55.2,49.9,49.1,44.8,50.4,54.1,51.1,46.5,46.8,34.2,46.6,29.1,14.2 
              %B: 42.7,34.8,27.7,30.1,23.5,21.5,21.3,20.9,22.6,24.5,27.7,25.6,31.3,31.8,28.7,26,35.4,24,0

              all: 101 countries
              (H1): 0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 113,104,132,146,190,222,264,310,315,330,282,263,25 1,235,254,286,166,165,6
              (Mx): 169,248,321,292,261,229,327,309,304,268,287,311,26 3,205,224,149,145,68,1
              (A ): 338,381,480,471,504,507,703,753,759,718,667,671,61 2,506,523,486,355,268,10
              (B ): 252,204,184,203,155,139,191,199,222,233,256,231,27 9,237,211,171,195,85,0
              %Mx(A): 59.9,70.4,70.8,66.6,57.8,50.7,55.2,49.9,49.1,44.8, 50.4,54.1,51.1,46.5,46.8,34.2,46.6,29.1,14.2
              %B: 42.7,34.8,27.7,30.1,23.5,21.5,21.3,20.9,22.6,24.5, 27.7,25.6,31.3,31.8,28.7,26,35.4,24,0

              North America: 3 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 14,2,2,2,1,1,3,6,4,2,2,6,5,7,3,4,1,3,0
              (Mx): 4,3,1,5,0,2,2,0,0,0,3,0,2,0,1,0,0,0,0
              (A ): 29,12,7,14,1,5,8,6,4,6,10,12,12,12,12,11,12,11,0
              (B ): 33,17,8,3,3,2,5,3,5,1,2,2,3,5,1,0,0,1,0
              %Mx(A): 22.2,60,33.3,71.4,0,66.6,40,0,0,0,60,0,28.5,0,25,0 ,0,0,-
              %B: 53.2,58.6,53.3,17.6,75,28.5,38.4,33.3,55.5,14.2,16 .6,14.2,20,29.4,7.6,0,0,8.3,-

              Middle America: 9 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 1,0,5,3,6,2,4,5,20,11,29,24,38,34,39,43,20,1,0
              (Mx): 4,0,7,7,13,8,9,15,9,3,5,2,5,5,8,2,2,3,0
              (A ): 5,0,12,10,19,10,13,20,31,14,36,26,43,39,47,45,22,4 ,0
              (B ): 12,6,18,15,7,4,4,1,0,5,6,7,4,1,1,2,0,0,0
              %Mx(A): 80,-,58.3,70,68.4,80,69.2,75,31,21.4,14.7,7.6,11.6,12. 8,17,4.4,9,75,-
              %B: 70.5,100,60,60,26.9,28.5,23.5,4.7,0,26.3,14.2,21.2 ,8.5,2.5,2,4.2,0,0,-

              South America: 10 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 32,43,43,52,40,52,68,105,122,86,72,68,45,24,53,32, 10,3,0
              (Mx): 43,42,57,77,77,67,103,125,129,142,136,143,97,72,78 ,42,62,0,0
              (A ): 81,95,108,142,148,143,256,341,350,307,269,261,189, 102,138,81,72,3,0
              (B ): 7,4,17,6,3,4,2,6,8,9,6,8,14,2,1,0,0,0,0
              %Mx(A): 57.3,49.4,57,59.6,65.8,56.3,60.2,54.3,51.3,62.2,65 .3,67.7,68.3,75,59.5,56.7,86.1,0,-
              %B: 7.9,4,13.6,4,1.9,2.7,.7,1.7,2.2,2.8,2.1,2.9,6.8,1. 9,.7,0,0,0,-

              Europe: 31 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 1,2,1,1,0,1,0,1,3,2,5,0,1,0,1,0,3,0,0
              (Mx): 3,1,1,3,1,1,0,0,0,1,2,0,3,0,0,0,0,0,0
              (A ): 9,4,3,4,3,8,6,3,4,4,8,3,6,1,3,0,4,1,0
              (B ): 2,6,2,3,0,1,0,2,2,0,3,4,3,1,1,0,4,0,0
              %Mx(A): 75,33.3,50,75,100,50,-,0,0,33.3,28.5,-,75,-,0,-,0,-,-
              %B: 18.1,60,40,42.8,0,11.1,0,40,33.3,0,27.2,57.1,33.3, 50,25,-,50,0,-

              West Asia: 1 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5
              (Mx): 0,0,0,3,0,1,1,2,1,0,2,0,0,0,0,0,0,0,1
              (A ): 0,1,1,7,0,2,5,5,19,12,14,4,5,5,2,4,3,5,9
              (B ): 4,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
              %Mx(A): -,-,-,100,-,100,100,100,100,-,100,-,-,-,-,-,-,-,16.6
              %B: 100,0,0,0,100,33.3,0,0,0,0,0,0,0,0,0,0,0,0,0

              East Asia: 16 countries
              (H1): 0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 29,36,40,59,93,126,137,149,127,164,138,113,105,100 ,100,149,58,91,1
              (Mx): 25,21,28,18,23,18,93,37,54,33,33,47,44,33,59,44,24 ,1,0
              (A ): 59,62,74,84,127,154,232,190,183,201,174,173,155,13 9,163,199,88,95,1
              (B ): 148,120,77,84,66,74,89,84,99,121,137,117,138,117,1 29,104,115,34,0
              %Mx(A): 46.2,36.8,41.1,23.3,19.8,12.5,40.2,19.8,29.8,16.7, 19.2,29.3,29.5,24.8,37.1,22.7,29.2,1,0
              %B: 71.4,65.9,50.9,50,34.1,32.4,27.7,30.6,35.1,37.5,44 ,40.3,47,45.7,44.1,34.3,56.6,26.3,0

              North Africa: 3 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 0,0,0,0,0,0,0,0,0,0,1,2,0,0,3,2,1,0,0
              (Mx): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (A ): 0,3,1,1,0,0,0,0,0,1,1,2,0,0,3,2,1,0,0
              (B ): 0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,3,0,0
              %Mx(A): -,-,-,-,-,-,-,-,-,-,0,0,-,-,0,0,0,-,-
              %B: -,0,0,0,-,-,-,-,-,0,0,33.3,-,-,25,0,75,-,-

              South and Middle Africa: 21 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 27,15,29,23,35,24,46,30,16,39,9,20,22,18,14,16,9,1 7,0
              (Mx): 88,173,220,169,135,107,90,67,49,28,35,25,20,24,16, 11,5,7,0
              (A ): 139,189,253,192,173,134,138,100,66,68,44,47,45,45, 32,27,14,25,0
              (B ): 34,34,50,72,51,21,51,46,36,33,53,39,58,54,37,29,36 ,19,0
              %Mx(A): 76.5,92,88.3,88,79.4,81.6,66.1,69,75.3,41.7,79.5,5 5.5,47.6,57.1,53.3,40.7,35.7,29.1,-
              %B: 19.6,15.2,16.5,27.2,22.7,13.5,26.9,31.5,35.2,32.6, 54.6,45.3,56.3,54.5,53.6,51.7,72,43.1,-

              Ozeania: 6 countries
              (H1): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
              (H3): 9,6,12,6,15,16,6,14,23,26,26,30,35,52,41,40,64,50, 0
              (Mx): 2,8,7,10,12,25,29,63,62,61,71,94,92,71,62,50,52,57 ,0
              (A ): 16,15,21,17,33,51,45,88,102,105,111,143,157,163,12 3,117,139,124,0
              (B ): 12,17,12,20,24,32,40,57,72,64,49,53,59,57,40,36,37 ,31,0
              %Mx(A): 18.1,57.1,36.8,62.5,44.4,60.9,82.8,81.8,72.9,70.1, 73.1,75.8,72.4,57.7,60.1,55.5,44.8,53.2,-
              %B: 42.8,53.1,36.3,54,42.1,38.5,47,39.3,41.3,37.8,30.6 ,27,27.3,25.9,24.5,23.5,21,20,-
              I'm interested in expert panflu damage estimates
              my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

              Comment


              • #52
                Re: Cocirculation of Influenza Viruses

                weeks 21-48

                Code:
                (H1): 0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,2,0 
                (H3): 118,109,146,146,200,239,291,328,344,372,327,321,339,354,311,395,368,387,349,361,354,317,271,228,211,222,168,6 
                (Mx): 169,252,325,306,274,236,336,325,323,279,307,321,291,231,248,186,213,267,161,133,233,372,274,206,120,51,22,0 
                (A ): 345,392,498,485,529,525,746,793,817,787,735,738,725,685,666,689,716,796,612,562,620,748,598,492,383,330,250,6 
                (B ): 252,208,189,208,161,144,200,208,237,246,279,259,295,270,244,286,386,335,368,358,336,354,295,304,313,174,73,2 
                %Mx(A): 58.8,69.8,69,67.6,57.8,49.6,53.5,49.6,48.4,42.8,48.4,50,46.1,39.4,44.3,31.9,36.6,40.8,31.5,26.9,39.6,53.9,50.2,47.4,36.2,18.6,11.4,0 
                %B: 42.2,34.6,27.5,30,23.3,21.5,21.1,20.7,22.4,23.8,27.5,25.9,28.9,28.2,26.8,29.3,35,29.6,37.5,38.9,35.1,32.1,33,38.1,44.9,34.5,22.6,25
                old H1 : Iran(week 27) , Nigeria (28),Indonesia(34),Uganda(36),Iran(47),Iran(47)


                China:H3 and B
                India:B
                Thailand: had H3
                Australia: had Mx,H3,B
                NZ:had H3 and B
                USA:H3,B
                South Africa: had H3 and B
                Vietnam: had Mx
                Argentina:had H3
                Chile: had Mx
                Nicaragua:Mx since week 41
                Japan:H3
                Philippines: had Mx, now getting a bit H3 and B
                Canada:H3 and B
                Europe:H3 and B
                I'm interested in expert panflu damage estimates
                my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

                Comment


                • #53
                  Re: Cocirculation of Influenza Viruses

                  weeks 41-52,2011 :

                  all: 96 countries
                  (H1): 0,0,0,0,0,0,2,1,0,0,0,0
                  (H3): 406,361,340,304,267,337,341,394,472,523,449,345
                  (Mx): 322,449,338,280,181,127,79,45,46,34,21,0
                  (A ): 830,889,774,646,511,519,495,497,611,657,574,363
                  (B ): 426,432,403,370,360,347,300,318,327,268,137,121
                  %Mx(A): 44.2,55.4,49.8,47.9,40.4,27.3,18.7,10.2,8.8,6.1,4. 4,0
                  %B: 33.9,32.7,34.2,36.4,41.3,40,37.7,39,34.8,28.9,19.2 ,25

                  North America: 2 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 8,11,14,23,20,16,32,28,33,55,36,0
                  (Mx): 0,2,0,3,4,5,4,1,16,22,6,0
                  (A ): 14,25,34,37,44,44,72,55,79,108,94,0
                  (B ): 8,11,15,12,19,18,22,17,18,17,7,0
                  %Mx(A): 0,15.3,0,11.5,16.6,23.8,11.1,3.4,32.6,28.5,14.2,-
                  %B: 36.3,30.5,30.6,24.4,30.1,29,23.4,23.6,18.5,13.6,6. 9,-

                  Middle America: 9 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 39,47,49,24,24,16,16,17,13,25,0,0
                  (Mx): 113,219,146,98,80,38,18,8,8,2,0,0
                  (A ): 152,266,195,122,104,54,35,25,22,27,0,0
                  (B ): 8,0,0,2,6,5,1,3,1,0,0,0
                  %Mx(A): 74.3,82.3,74.8,80.3,76.9,70.3,52.9,32,38,7.4,-,-
                  %B: 5,0,0,1.6,5.4,8.399999,2.7,10.7,4.3,0,-,-

                  South America: 8 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 25,9,20,17,13,16,20,15,21,9,0,0
                  (Mx): 103,71,60,60,37,26,31,11,5,1,0,0
                  (A ): 190,106,107,82,67,45,52,26,30,15,0,0
                  (B ): 18,33,24,22,12,27,16,26,4,3,0,0
                  %Mx(A): 80.4,88.7,75,77.9,74,61.9,60.7,42.3,19.2,10,-,-
                  %B: 8.600001,23.7,18.3,21.1,15.1,37.5,23.5,50,11.7,16. 6,-,-

                  Europe: 34 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 5,10,14,8,8,30,33,40,52,93,100,27
                  (Mx): 1,4,5,1,11,4,1,3,6,2,0,0
                  (A ): 9,16,25,20,29,41,44,62,94,146,149,41
                  (B ): 8,8,12,7,12,12,10,11,7,13,11,1
                  %Mx(A): 16.6,28.5,26.3,11.1,57.8,11.7,2.9,6.9,10.3,2.1,0,0
                  %B: 47,33.3,32.4,25.9,29.2,22.6,18.5,15,6.9,8.100001,6 .8,2.3

                  North Africa: 5 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 3,9,2,6,1,6,5,4,9,7,16,7
                  (Mx): 0,1,1,2,0,0,0,0,0,0,0,0
                  (A ): 3,10,3,8,1,6,5,4,9,7,16,7
                  (B ): 1,0,1,1,0,0,0,0,0,0,0,0
                  %Mx(A): 0,10,33.3,25,0,0,0,0,0,0,0,0
                  %B: 25,0,25,11.1,0,0,0,0,0,0,0,0

                  South Africa: 14 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 81,83,88,49,49,68,38,30,13,8,1,0
                  (Mx): 22,68,30,36,14,17,8,7,3,3,0,0
                  (A ): 110,154,126,88,66,85,47,37,16,11,1,0
                  (B ): 201,145,115,50,54,34,21,24,10,12,3,0
                  %Mx(A): 21.3,45,25.4,42.3,22.2,20,17.3,18.9,18.7,27.2,0,-
                  %B: 64.6,48.4,47.7,36.2,45,28.5,30.8,39.3,38.4,52.1,75 ,-

                  Ozeania: 6 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 74,42,16,26,18,22,16,17,34,11,3,25
                  (Mx): 18,19,3,6,3,1,2,3,0,1,1,0
                  (A ): 106,71,23,32,21,24,19,20,34,12,4,25
                  (B ): 32,32,33,9,2,9,5,5,2,1,4,4
                  %Mx(A): 19.5,31.1,15.7,18.7,14.2,4.3,11.1,15,0,8.3,25,0
                  %B: 23.1,31,58.9,21.9,8.600001,27.2,20.8,20,5.5,7.6,50 ,13.7

                  West Asia: 6 countries
                  (H1): 0,0,0,0,0,0,2,1,0,0,0,0
                  (H3): 6,9,3,15,19,25,27,60,72,145,185,103
                  (Mx): 0,4,23,23,3,8,0,0,0,0,1,0
                  (A ): 13,33,53,68,25,42,42,63,75,147,188,106
                  (B ): 3,4,0,3,0,5,6,10,6,12,10,10
                  %Mx(A): 0,30.7,88.4,60.5,13.6,24.2,0,0,0,0,.5,0
                  %B: 18.7,10.8,0,4.2,0,10.6,12.5,13.6,7.4,7.5,5,8.60000 1

                  East Asia: 12 countries
                  (H1): 0,0,0,0,0,0,0,0,0,0,0,0
                  (H3): 165,141,134,136,115,138,154,183,225,170,108,183
                  (Mx): 65,61,70,51,29,28,15,12,8,3,13,0
                  (A ): 233,208,208,189,154,178,179,205,252,184,122,184
                  (B ): 147,199,203,264,255,237,219,222,279,210,102,106
                  %Mx(A): 28.2,30.1,34.3,27.2,20.1,16.8,8.8,6.1,3.4,1.7,10.7 ,0
                  %B: 38.6,48.8,49.3,58.2,62.3,57.1,55,51.9,52.5,53.2,45 .5,36.5




                  H3 dominates now, i.e. in China,India
                  the 3 old H1N1 viruses are from Iran
                  Australia (summer !) reported 25 H3s in week 52
                  I'm interested in expert panflu damage estimates
                  my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

                  Comment


                  • #54
                    Re: Cocirculation of Influenza Viruses

                    all: 80 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 1099,1458,1966,1745,1473,0
                    (Mx): 303,549,678,765,221,0
                    (A ): 1695,2297,3084,2987,2531,0
                    (B ): 980,1443,1100,699,166,0
                    %Mx(A): 21.6,27.3,25.6,30.4,13,-
                    %B: 36.6,38.5,26.2,18.9,6.1,-

                    North America: 2 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 164,214,256,275,180,0
                    (Mx): 251,484,641,718,198,0
                    (A ): 489,774,993,1144,518,0
                    (B ): 47,56,57,67,22,0
                    %Mx(A): 60.4,69.3,71.4,72.3,52.3,-
                    %B: 8.7,6.7,5.4,5.5,4,-

                    Middle America: 8 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 27,11,0,0,0,0
                    (Mx): 7,5,1,3,0,0
                    (A ): 35,16,1,3,0,0
                    (B ): 2,1,0,0,0,0
                    %Mx(A): 20.5,31.2,100,100,-,-
                    %B: 5.4,5.8,0,0,-,-

                    South America: 8 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 36,24,3,0,3,0
                    (Mx): 19,13,2,2,2,0
                    (A ): 56,47,10,5,8,0
                    (B ): 0,6,0,1,0,0
                    %Mx(A): 34.5,35.1,40,100,40,-
                    %B: 0,11.3,0,16.6,0,-

                    Europe: 34 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 303,460,677,969,949,0
                    (Mx): 10,21,16,27,21,0
                    (A ): 478,653,995,1308,1660,0
                    (B ): 23,23,35,66,74,0
                    %Mx(A): 3.1,4.3,2.3,2.7,2.1,-
                    %B: 4.5,3.4,3.3,4.8,4.2,-

                    North Africa: 2 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 51,58,52,31,10,0
                    (Mx): 0,0,0,0,0,0
                    (A ): 51,58,52,31,10,0
                    (B ): 0,0,0,1,0,0
                    %Mx(A): 0,0,0,0,0,-
                    %B: 0,0,0,3.1,0,-

                    South Africa: 8 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 8,7,9,6,3,0
                    (Mx): 4,6,7,11,0,0
                    (A ): 16,16,18,22,3,0
                    (B ): 13,10,1,3,1,0
                    %Mx(A): 33.3,46.1,43.7,64.7,0,-
                    %B: 44.8,38.4,5.2,12,25,-

                    Ozeania: 2 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 5,7,13,3,3,0
                    (Mx): 0,0,0,0,0,0
                    (A ): 11,9,13,4,3,0
                    (B ): 15,19,9,5,1,0
                    %Mx(A): 0,0,0,0,0,-
                    %B: 57.6,67.8,40.9,55.5,25,-

                    West Asia: 5 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 135,63,108,56,45,0
                    (Mx): 6,12,4,0,0,0
                    (A ): 161,83,116,58,49,0
                    (B ): 15,20,20,15,18,0
                    %Mx(A): 4.2,16,3.5,0,0,-
                    %B: 8.5,19.4,14.7,20.5,26.8,-

                    East Asia: 11 countries
                    (H1): 0,0,0,0,0,0
                    (H3): 370,614,848,405,280,0
                    (Mx): 6,8,7,4,0,0
                    (A ): 398,641,886,412,280,0
                    (B ): 865,1308,978,541,50,0
                    %Mx(A): 1.5,1.2,.8,.9,0,-
                    %B: 68.4,67.1,52.4,56.7,15.1,-
                    I'm interested in expert panflu damage estimates
                    my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

                    Comment


                    • #55
                      Re: Cocirculation of Influenza Viruses

                      Thanks Gs. Could you post the links to your sources at the bottom of each post please?

                      And do you factor in any A/H5N1? Or A/H3N2?

                      Comment


                      • #56
                        Re: Cocirculation of Influenza Viruses

                        the link is in the first post of this thread.
                        http://apps.who.int/globalatlas/auto...unet_login.asp

                        login to flunet and walk through the menus ...

                        H5N1 is available, but not chosen by me.
                        H3N2v is not available, afaik

                        .................................................. .......

                        login, then "data query" (top left)

                        and you get a menu:

                        Indicators
                        Select/Deselect All

                        Number of specimens received/collected
                        Number of specimens processed
                        Number of influenza viruses detected
                        A(H1)
                        A(H3)
                        A(H1N1)pdm09
                        A(H5)
                        A (not suptyped)
                        Total A (seasonal and non-seasonal influenza)
                        B (Yamagata lineage)
                        B (Victoria lineage)
                        B (Lineage not determined)
                        Total B
                        Total (seasonal and non-seasonal influenza)
                        Influenza-like illness
                        Level


                        for my program I choose
                        H1,H3,pH1,totalA,totalB
                        then (next menu) all countries

                        It's tedious to save all the data, only 500 entries per page,
                        usually 10-25 pages. I can upload the whole datafiles, if someone wants them.
                        Recently I wrote a new program for the continents, so that's available in future :-)
                        I'm interested in expert panflu damage estimates
                        my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

                        Comment


                        • #57
                          Re: Cocirculation of Influenza Viruses

                          I would like to suggest that maybe you add the known cases of H5N1 and the swine H3N2 cases documented by the US (total 12) since these are also circulating strains. H5N1 has a high case fatality rate compared to seasonal strains. Swine H3N2 is apparently so mild that the documented cases may be only a fraction of the total case count.

                          Comment


                          • #58
                            Re: Cocirculation of Influenza Viruses

                            this is to detect the waves of flu-circulation, H5N1 and H3N2v
                            are too sparse for waves. Those are occasional, random
                            introductions from bird or swine into humans.

                            But I could occasionally make a list of H5N1 separately
                            (H3N2v is not at flunet).

                            Or replace H1N1 (old) by H5N1 , if H1N1 dies.

                            Or remove H1N1 (old) entirely

                            So the next update should have H5N1 instead of H1N1,
                            (if I remember)


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

                            Code:
                            no H5 reports before 2009
                            
                            2009
                            all: 75 countries
                            (H5): 0,0,0,0,1,1,1,0,0,2,1,1,1,3,1,2,3,0,0,3,3,3,2,1,1,0,0,0,0,0,2,0,0,0,2,0,0,1,1,0,0,0,0,0,0,0,1,1,0,1,1,0,0 
                            North Africa: 4 countries
                            (H5): 0,0,0,0,1,1,1,0,0,2,1,1,1,3,1,2,3,0,0,3,3,3,2,1,1,0,0,0,0,0,2,0,0,0,2,0,0,1,1,0,0,0,0,0,0,0,1,1,0,0,1,0,0 
                            East Asia: 8 countries
                            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0 
                            
                            2010
                            all: 93 countries
                            (H5): 0,2,1,0,2,2,3,2,1,2,0,2,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,1,3
                            North Africa: 5 countries
                            (H5): 0,2,0,0,2,2,3,1,1,2,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,3 
                            South Africa: 17 countries
                            (H5): 0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
                            East Asia: 10 countries
                            (H5): 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0 
                            
                            2011
                            all: 101 countries
                            (H5): 1,1,1,2,0,2,0,5,1,2,4,2,4,2,1,1,0,0,1,1,0,3,2,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
                            North Africa: 4 countries
                            (H5): 1,1,1,2,0,1,0,3,1,2,4,2,4,1,1,0,0,0,1,1,0,3,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
                            East Asia: 12 countries
                            (H5): 0,0,0,0,0,1,0,2,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
                            
                            2012
                            all: 78 countries
                            (H5): 0,0,2,0,0,0 
                            East Asia: 10 countries
                            (H5): 0,0,2,0,0,0
                            I'm interested in expert panflu damage estimates
                            my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

                            Comment


                            • #59
                              Re: Cocirculation of Influenza Viruses

                              Mexico H1 weeks 48-07 :
                              4,22,62,73,111,233,456,607,743,503,143,1
                              I'm interested in expert panflu damage estimates
                              my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

                              Comment


                              • #60
                                Re: Cocirculation of Influenza Viruses

                                Code:
                                all: 106 countries
                                (H1): 0,0,0,0,1,0,0,0,0,0,0 
                                (H3): 1165,1606,2372,2199,2528,2685,2823,3055,2030,0,0 
                                (Mx): 340,595,750,977,880,816,577,485,288,1,0 
                                (A ): 1796,2477,3563,3673,4282,4831,5517,6240,4372,1,0 
                                (B ): 987,1464,1155,1061,1761,2067,2616,2464,761,0,0 
                                %Mx(A): 22.5,27,24,30.7,25.8,23.3,16.9,13.7,12.4,100,- 
                                %B: 35.4,37.1,24.4,22.4,29.1,29.9,32.1,28.3,14.8,0,- 
                                
                                North America: 3 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 170,223,271,333,375,398,414,543,389,0,0 
                                (Mx): 268,522,685,911,822,765,488,411,242,0,0 
                                (A ): 514,823,1063,1420,1375,1386,1220,1329,1000,0,0 
                                (B ): 47,59,57,76,57,59,64,63,54,0,0 
                                %Mx(A): 61.1,70,71.6,73.2,68.6,65.7,54.1,43,38.3,-,- 
                                %B: 8.3,6.6,5,5,3.9,4,4.9,4.5,5.1,-,- 
                                
                                Middle America: 9 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 27,11,17,13,7,9,8,1,0,0,0 
                                (Mx): 8,5,9,5,5,2,5,1,1,0,0 
                                (A ): 36,16,26,18,12,12,13,2,1,0,0 
                                (B ): 2,1,1,1,1,7,3,0,0,0,0 
                                %Mx(A): 22.8,31.2,34.6,27.7,41.6,18.1,38.4,50,100,-,- 
                                %B: 5.2,5.8,3.7,5.2,7.6,36.8,18.7,0,0,-,- 
                                
                                South America: 9 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 40,38,21,9,3,7,5,5,2,0,0 
                                (Mx): 27,19,13,14,8,6,6,3,0,0,0 
                                (A ): 67,61,35,25,14,15,17,11,2,0,0 
                                (B ): 3,8,3,4,7,1,10,5,0,0,0 
                                %Mx(A): 40.2,33.3,38.2,60.8,72.7,46.1,54.5,37.5,0,-,- 
                                %B: 4.2,11.5,7.8,13.7,33.3,6.2,37,31.2,0,-,- 
                                
                                Europe: 41 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 303,470,699,1015,1238,1541,1698,1922,1440,0,0 
                                (Mx): 10,21,16,27,26,14,35,51,26,0,0 
                                (A ): 477,654,1006,1336,1931,2617,3449,4249,3130,0,0 
                                (B ): 23,22,35,68,81,126,171,270,213,0,0 
                                %Mx(A): 3.1,4.2,2.2,2.5,2,.9,2,2.5,1.7,-,- 
                                %B: 4.6,3.2,3.3,4.8,4,4.5,4.7,5.9,6.3,-,- 
                                
                                North Africa: 5 countries
                                (H1): 0,0,0,0,1,0,0,0,0,0,0 
                                (H3): 54,62,55,38,19,7,8,14,0,0,0 
                                (Mx): 0,0,0,0,0,0,0,0,0,0,0 
                                (A ): 54,62,56,38,20,7,8,14,0,0,0 
                                (B ): 0,0,0,1,0,0,0,0,0,0,0 
                                %Mx(A): 0,0,0,0,0,0,0,0,-,-,- 
                                %B: 0,0,0,2.5,0,0,0,0,-,-,- 
                                
                                South Africa: 12 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 8,7,12,7,7,8,20,7,10,0,0 
                                (Mx): 4,6,8,11,4,5,9,5,0,0,0 
                                (A ): 16,16,22,23,12,14,36,15,10,0,0 
                                (B ): 13,10,2,4,7,10,8,4,5,0,0 
                                %Mx(A): 33.3,46.1,40,61.1,36.3,38.4,31,41.6,0,-,- 
                                %B: 44.8,38.4,8.3,14.8,36.8,41.6,18.1,21,33.3,-,- 
                                
                                Ozeania: 5 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 31,24,37,5,4,0,0,2,4,0,0 
                                (Mx): 8,2,4,0,0,0,1,1,0,0,0 
                                (A ): 39,27,45,6,4,0,1,5,4,0,0 
                                (B ): 18,24,15,20,3,7,10,10,9,0,0 
                                %Mx(A): 20.5,7.6,9.7,0,0,-,100,33.3,0,-,- 
                                %B: 31.5,47,25,76.9,42.8,100,90.9,66.6,69.2,-,- 
                                
                                West Asia: 7 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 135,63,108,56,46,23,30,19,15,0,0 
                                (Mx): 6,12,4,1,4,4,6,2,6,1,0 
                                (A ): 165,83,116,59,57,39,48,34,40,1,0 
                                (B ): 15,22,21,30,30,27,37,20,20,0,0 
                                %Mx(A): 4.2,16,3.5,1.7,8,14.8,16.6,9.5,28.5,100,- 
                                %B: 8.3,20.9,15.3,33.7,34.4,40.9,43.5,37,33.3,0,- 
                                
                                East Asia: 15 countries
                                (H1): 0,0,0,0,0,0,0,0,0,0,0 
                                (H3): 397,708,1152,723,829,692,640,542,170,0,0 
                                (Mx): 9,8,11,8,11,20,27,11,13,0,0 
                                (A ): 428,735,1194,748,857,741,725,581,185,0,0 
                                (B ): 866,1318,1021,857,1575,1830,2313,2092,460,0,0 
                                %Mx(A): 2.2,1.1,.9,1,1.3,2.8,4,1.9,7.1,-,- 
                                %B: 66.9,64.1,46,53.3,64.7,71.1,76.1,78.2,71.3,-,-

                                the old H1 in week 5 was in Sierra Leone

                                USA,H3:102,137,181,240,346,387,407,538,388
                                USA,H1:12,29,42,69,94,121,147,207,211
                                Mexico,H3:9,13,22,28,29,11,7,5,1
                                Mexico,H1:248,484,634,815,728,644,341,204,31
                                I'm interested in expert panflu damage estimates
                                my current links: http://bit.ly/hFI7H ILI-charts: http://bit.ly/CcRgT

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