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1918 Analysis with Charts and Graphs

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  • gsgs
    replied
    Re: analysis by Frost, Sydenstricker

    OK, there were some errors and my coordinates-data was
    bad, but finally I have 398 cities with coordinates,
    1918 flu-cases and mortality now.
    No weather and population data yet adapted for computer-reading.

    As as a first test, see below for 1918-mortality. This probably
    has been done before, but the data was not public, now it is.
    http://magictour.free.fr/1918x.3


    I hope, you can recognize the shape of the USA.
    The length of the bars is proportional to the CFR.
    Only larger cities with >1000 cases. Madison,WI had
    particularly high CFR :399 cases, 234 deaths (error?)

    Leave a comment:


  • gsgs
    replied
    Re: analysis by Frost, Sydenstricker

    Originally posted by Theresa42 View Post
    Cool! Lemme know if you need more typing/transcribing -- I'm a pretty fast typist. That took me just about an hour, so not so bad.

    yes, I found some more data, e.g. monthly from 1918,1919
    or state - data.

    But maybe OCR is possible and let me wait what the library people say,
    what I can get...
    They definately have deaths from all causes, maybe even weekly ,
    that's useful for 1918. But for the other years I want influenza/pneumonia
    deaths.




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


    http://statelibrary.dcr.state.nc.us/...19.pdf#Table10
    page 2 , cities - table --###done
    page 3f, together with 28f : deaths per state rural vs. cities, influenza and all deaths , 4 numbers per state
    page 12-13 , total deaths 1919 by month and city


    same for 1918 :
    http://statelibrary.dcr.state.nc.us/...18.pdf#Table10
    presumably other years are in the library too

    http://statelibrary.dcr.state.nc.us/...USPHR47All.pdf
    page 6
    6 cities, autumn 1918, weekly


    http://statelibrary.dcr.state.nc.us/...USPHR35All.pdf
    page 4f , cases 1920 by city, weekly
    page7f , excess influenza by cities, 1918, 12weeks



    age and sex and races data not yet considered. Could be useful to determine whether the
    virus has changed, how much pre-1918 was similar to 1918 or nowadays H3N2


    http://statelibrary.dcr.state.nc.us/...R34JuneDec.pdf
    page5 , weekly 1918, 13 British cities
    page6 , weekly 1918 , 14 European and Indian cities
    page13 , weekly 1917,1918 , London,Paris,Dublin


    compare with weather data ! Or other weather dependent disease



    influenza+pneumonia is preferred, not just influenza.
    Some cities include influenza-->pneumonia deaths
    in the influenza statistics, some in the pneumonia statistics.
    Last edited by gsgs; June 15, 2007, 12:30 PM.

    Leave a comment:


  • Theresa42
    replied
    Re: analysis by Frost, Sydenstricker

    Originally posted by gsgs View Post
    hey, thanks !

    I also found coordinates of ~2000 US-cities and 1918-population
    of ~250 US-cities , I hope the spellings are correct and
    I can merge the data.

    I also sent email to Calif. state library and will send one to NC-state library.
    The data (monthly deaths by city) exists, just not computer readable.
    Cool! Lemme know if you need more typing/transcribing -- I'm a pretty fast typist. That took me just about an hour, so not so bad.

    Leave a comment:


  • gsgs
    replied
    Re: analysis by Frost, Sydenstricker

    hey, thanks !

    I also found coordinates of ~2000 US-cities and 1918-population
    of ~250 US-cities , I hope the spellings are correct and
    I can merge the data.

    I also sent email to Calif. state library and will send one to NC-state library.
    The data (monthly deaths by city) exists, just not computer readable.

    Could be useful to examine seasonality too.
    Apparantly San Francisco has milder flu due to better clima,
    12C in winter vs. 0C at East coast.
    Hmm, maybe weather-data for the cities can be collected too...

    NC library has other interesting 1918 data too,
    see here:

    http://statelibrary.dcr.state.nc.us/...CInfluenza.htm

    click the bars on the left for many further documents from 1918.

    e.g. this one:
    http://statelibrary.dcr.state.nc.us/...USPHR46All.pdf

    Leave a comment:


  • Theresa42
    replied
    Re: analysis by Frost, Sydenstricker

    Some more population figures based on U.S. census data:

    Abilene, TX
    1910 26,293
    1920 24,081
    http://recenter.tamu.edu/data/popmd/pm0040.htm

    Adams (county), MS
    1910 25,265
    1920 22,183
    http://en.wikipedia.org/wiki/Adams_C...i#Demographics

    Alameda city, CA
    1910 23,383
    1920 28,806
    http://www.abag.ca.gov/abag/overview...o/alameda.html

    Altoona, PA
    1910 108,858
    1920 128,334
    http://recenter.tamu.edu/data/popmd/pm0280.htm

    Amarillo, TX
    1910 15,736
    1920 20,385
    http://recenter.tamu.edu/data/popmd/pm0320.htm

    Ann Arbor, MI
    1910 110,357
    1920 114,809
    http://recenter.tamu.edu/data/popmd/pm0440.htm

    Anniston, AL
    1910 39,115
    1920 47,822
    http://recenter.tamu.edu/data/popmd/pm0450.htm

    Asheville, NC
    1910 69,930
    1920 84,231
    http://recenter.tamu.edu/data/popmd/pm0480.htm

    El Paso, TX
    1910 52,599
    1920 101,877
    http://recenter.tamu.edu/data/popmd/pm2320.htm

    San Angelo, TX
    1910 17,882
    1920 15,210
    http://recenter.tamu.edu/data/popmd/pm7200.htm

    Tyler, TX
    1910 41,746
    1920 46,769
    http://recenter.tamu.edu/data/popmd/pm8640.htm

    Leave a comment:


  • Theresa42
    replied
    Re: analysis by Frost, Sydenstricker

    Some city populations from the 1910 U.S. census -- the closest census to 1918 that was taken before that pandemic (the next one was 1920):

    Akron city, OH........... 69,067 (1910)
    Bayonne city, NJ......... 55,545 (1910)
    Brockton city, MA........ 56,878 (1910)
    Duluth city MN........... 78,466 (1910)
    East St. Louis city, IL.. 58,547 (1910)
    Elizabeth city, NJ....... 73,409 (1910)
    Erie city, PA............ 66,525 (1910)
    Fort Wayne city, IN...... 63,933 (1910)
    Harrisburg city, PA...... 64,186 (1910)
    Hoboken city, NJ......... 70,324 (1910)
    Holyoke city, MA......... 57,730 (1910)
    Jacksonville city, FL.... 57,699 (1910)
    Manchester city, NH...... 70,063 (1910)
    Norfolk city, VA......... 67,452 (1910)
    Passaic city, NJ......... 54,773 (1910)
    Peoria city, IL.......... 66,950 (1910)
    Portland city, ME........ 58,571 (1910)
    St. Joseph city, MO...... 77,403 (1910)
    Somerville city, MA...... 77,236 (1910)
    South Bend city, IN...... 53,684 (1910)
    Terre Haute city, IN..... 58,157 (1910)
    Troy city, NY............ 76,813 (1910)
    Utica city, NY........... 74,419 (1910)
    Waterbury city, CT....... 73,141 (1910)

    http://www.census.gov/population/doc...0027/tab14.txt

    Leave a comment:


  • Theresa42
    replied
    Re: analysis by Frost,Sydenstricker

    Originally posted by gsgs View Post
    no Excel, just plain text or html. Send email or post.

    They have lots of tables, at the moment I was thinking at the last one with the cities.

    (...)

    So, the names, flu-cases in 1918, flu-deaths in 1918.
    Ok -- here's that last table -- influenza cases only (not the pneumonia or the influenza+pneumonia -- I can maybe do those another day if you want them).

    Influenza only (not incld. pneumonia or influenza + pneumonia) - 1918

    City, State Cases reported,deaths registered,fatalities per 100 cases

    Abilene, TX --,14,--
    Adams, MS 1722,56,3.3
    Akron, OH 4551,630,13.8
    Alameda, CA 2783,94,3.4
    Alliance, OH --,88,--
    Alpena, MI 435,11,2.5
    Alton, IL 120094,7.8
    Altoona, PA 7807,38,.5
    Amarillo, TX --,4,--
    Amesbury, MS 18,55,--
    Amsterdam, NY 4245,52,1.2
    Anacona, MT 626,47,7.5
    Anderson, IN 200,10,5
    Anderson, SC 400,113,28.3
    Ann Arbor, MI 824,--,--
    Anniston, AL 1938,9,.5
    Appleton, WI 1500,4,.3
    Arlington, MS 2384,29,1.2
    Asbury Park, NJ 1304,9,.7
    Ashville, NC 4744,127,2.7
    Ashland, WI 410,64,15.6
    Ashtabula, OH 1135,56,4.9
    Astoria, OR 2800,--,--
    Atlantic City, NJ --,327,--
    Attleboro, MS 1042,44,4.2
    Auburn, NY 4679,145,3.1
    Augusta, ME 493,33,6.7
    Aurora, IL 2500,35,1.4
    Austin, TX --,--,--
    Bakersfield, CA 872,--,--
    Bangor, ME 1600,110,6.9
    Barre, VT 2649,189,7.1
    Baton Rouge, LA --,65,--
    Battle Creek, MI 1559,37,2.4
    Bay City, MI 3496,212,6.1
    Bayonne, NJ 4749,--,--
    Beatrice, NE 1537,101,6.6
    Beaumont, TX 1,90,--
    Bedford, IN 1409,--,--
    Belleville, NJ --,--,--
    Bellingham, WA 2000,82,4.1
    Beloit, WI 3315,120,3.6
    Benton Harbor, MI 3000,--,--
    Berkeley, CA 4090,146,3.6
    Berlin, NH 3449,158,4.6
    Beverly, MS 730,19,2.6
    Billings, MT --,27,--
    Binghamton, NY 3085,229,7.4
    Bloomfield, NJ 1213,29,2.4
    Bloomington, IN 451,4,.89
    Bluefied, WV 1059,--,--
    Boone, IA 1649,--,--
    Boulder, CO 1803,105,5.8
    Braddock, PA 4000,246,6.1
    Bradford, PA 796,35,4.4
    Bridgeton, NJ 2070,42,2.0
    Bristol, CT 1762,74,4.2
    Brockton, MA 2625,389,14.8
    Brookline, MA 2639,108,4.1
    Brownsville, TX --,40,--
    Bruswick, GA 4788,16,.33
    Burlington, IA --,7,--
    Burlington, VT 1810,161,8.9
    Butler, PA 11,315,--,--
    Butte, MT --,--,--
    Cadillac, MI --,17,--
    Cairo, IL 1443,108,7.5
    Cambridge, OH --,--,--
    Canton, IL 3100,70,2.3
    Canton, OH --,322,--
    Cape Giardeau, MO 1428,28,1.4
    Carbondale, PA 893,27,3.0
    Carlisle, PA 3161,--,--
    Cedar Rapids, IA 1457,93,6.4
    Centralia, IL 939,--,--
    Chambersburg, PA --,200,--
    Champaign, IL --,--,--
    Charleroi, PA 2025,--,--
    Charleston, WV 2868,228,7.9
    Charlotte, NC 3281,201,6.1
    Chelsea, MA 1031,329,31.9
    Cheyenne, WY 1800,105,5.8
    Chicopee, MA 597,7,1.2
    Chillicothe, OH 2186,49,2.4
    Cicero, IL --,--,--
    Cleburne, TX 4275,10,.2
    Clinton, IA 1277,--,--
    Clinton, MA 2700,72,2.7
    Coatesville, PA 2500,121,4.8
    Coffeyville, KS 1073,14,1.3
    Cohoes, NY --,--,--
    Colorado Springs, CO 3310,69,2.1
    Columbus, MS --,21,--
    Concord, NH 1331,18,1.4
    Connellsville, PA --,98,--
    Corning, NY --,83,--
    Cortland, NY --,--,--
    Coshocton, OH 845,--,--
    Council Bluff, IA 800,42,5.3
    Cranston, RI 552,173,31.3
    Cumberland, MD 1893,86,4.5
    Danbury, CT 2928,80,2.7
    Danvers, MA 1590,15,.9
    Danville, IL 1124,180,16
    Danville, VA --,48,--
    Davenport, IA 4523,--,--
    Decatur, IL 1566,13,.8
    Denison, TX 4500,12,.3
    Dickson City, PA 1158,90,7.8
    Dover, NH --,22,--
    Dubois, PA --,--,--
    Dubuque, IA 2002,82,4.1
    Duluth, MN 2666,252,9.5
    Dunkirk, NY 1785,39,2.18
    Dunmore, PA 1083,--,--
    Durham, NC --,17,--
    East Chicago, IN 370,169,45.7
    East Cleveland, OH 627,--,--
    East Hampton, MA 1659,52,3.1
    Easton, PA --,62,--
    East Orange, NJ 2067,197,9.5
    East St. Louis, IL --,54,--
    Edwardsville, PA 726,27,3.7
    Eau Claire, WI 1914,43,2.2
    Elgin, IL 1399,--,--
    Elizabeth, NJ 2926,148,5.0
    Elmira, NY 3549,127,3.6
    El Paso, TX 264,--,--
    Elyria, OH 1625,19,1.2
    Enfield, CT 600,6,1.0
    Englewood, NJ 1078,7,.6
    Erie, PA 9514,504,5.3
    Escanaba, MI 2500,46,1.8
    Eugene, OR 484,--,--
    Eureka, CA 2374,72,3
    Evanston, IL 2878,54,2
    Everett, MA 2259,178,7.9
    Everett, WA 3729,84,2.3
    Fairmont, WV 4296,82,1.9
    Fargo, ND --,--,--
    Farrell, PA 420,50,11.9
    Findlay, OH --,--,--
    Fitchburg, MA 4232,45,1.1
    Fond du Lac, WI 500,15,3
    Fort Collins, CO 800,--,--
    Fort Scott, KS 174,9,5.2
    Fort Smith, AK --,160,--
    Fort Wayne, IN 2585,39,1.5
    Fostoria, OH 1181,14,1.2
    Framingham, MA 4804,52,1.1
    Frankfort, IN 1618,10,.6
    Frederick, MD 1040,26,2.5
    Fremont, NB --,8,--
    Fremont, OH 720,4,.6
    Fresno, CA 5086,87,1.7
    Galesburg, IL 3658,75,2.1
    Galveston, TX 1728,82,4.7
    Gardner, MA 1562,36,2.3
    Garfield, NJ 982,16,1.6
    Gary, IN 1125,106,9.4
    Geneva, NY 1200,44,3.7
    Glenn Falls, NY 124,--,--
    Gloucester City, NJ 3200,45,1.4
    Gloversville, NY --,--,--
    Grand Forks, ND 2518,176,7
    Grand Island, NB 1066,48,4.5
    Granite City, IL --,45,--
    Great Falls, MT 301,--,--
    Green Bay, WI 1512,104,6.9
    Greenfield, MA --,--,--
    Greenville, SC 7529,82,1.1
    Greenwich, CT 1867,12,.6
    Hackensack, NJ 1863,75,4
    Hamilton, OH 2479,26,1.5
    Hammond, IN --,41,--
    Hancock, MI 180,16,8.9
    Hannibal, MO --,156,--
    Harrisburg, PA --,443,--
    Harrison, NJ --,43,--
    Hastings, NB 1165,--,--
    Hattiesburg, MS 1690,28,1.7
    Haverhill, MA 3416,59,1.7
    Hazelton, PA 1912,295,15.4
    Helena, AK 665,34,5.1
    Highland Park, MI 1298,39,3
    High Point, NC --,--,--
    Hoboken, NJ 512,8,1.6
    Holland, MI --,--,--
    Holyoke, MA --,291,--
    Homestead, PA 1022,--,--
    Hoquiam, WA 926,96,10.4
    Hornell, NY 2427,70,2.9
    Hudson, NY 2300,64,2.8
    Huntington, WV --,--,--
    Hutchinson, KS 2987,187,6.3
    Iola, KS 1221,--,--
    Ironwood, MI 849,67,7.9
    Irvington, NJ 1159,15,1.3
    Ishpeming, MI --,--,--
    Ithaca, NY 2421,68,2.8
    Jackson, MI 3729,59,1.6
    Jacksonville, FL 5878,390,6.6
    Jacksonville, IL 2025,93,4.6
    Jamestown, NY 4430,51,1.2
    Janesville, WI --,21,--
    Johnstown, NY 2000,38,1.9
    Joplin, MO 3039,--,--
    Kalamazoo, MI 3988,144,3.6
    Kankakee, IL 1060,42,4
    Kearny, NJ 1280,34,2.7
    Keene, NH 964,93,9.5
    Kenosha, WI 2296,76,3.3
    Kewanee, IL --,7,--
    Kingston, NY 7896,169,2.1
    Knoxville, TN 13,652,--,--
    Kokomo, IN 233,18,7.7
    Lackawanna, NY 1474,29,2
    La Crosse, WI --,62,--
    La Fayette, IN --,--,--
    Lake Charles, LA 4856,20,.4
    Lakewood, OH 800,20,2.5
    Lancaster, OH --,--,--
    Lancaster, PA 8037,348,4.3
    Lansford, PA 326,12,3.7
    La Salle, IL 1781,19,1.1
    Latrobe, PA 1200,--,--
    Lawrence, KS 2478,12,.5
    Leavenworth, KS 1401,31,2.2
    Leominster, MA 1437,56,3.9
    Lewiston, ME --,29,--
    Lexington, KY 1486,99,6.7
    Lima, OH --,13,--
    Lincoln, NB 4721,263,5.6
    Little Falls, NY 46,--,--
    Little Rock, AK 8420,8,.1
    Logansport, IN 3023,--,--
    Long Beach, CA 3160,113,3.6
    Long Branch, NJ 380,7,1.8
    Lorain, OH 5193,5,.1
    Ludington, MI 228,3,1.3
    McKeesport, PA 1046,60,5.7
    Macon, GA 4927,25,.5
    Madison, WI 399,234,58.6
    Mahanoy City, PA 821,--,--
    Malden, MA --,--,--
    Machester, NH --,434,--
    Manistee, MI 738,4,.5
    Manitowoc, WI 4000,4,.1
    Mansfield, OH 1580,27,1.7
    Marinette, WI 893,22,2.5
    Marion, IN 1291,40,3.1
    Marion, OH 2031,30,1.5
    Marlboro, MA 732,58,7.9
    Marquette, MI 528,30,5.7
    Marshall, TX --,70,--
    Martins Ferry, OH 300,50,16.7
    Mason City, IA 1827,--,--
    Massillon, OH 883,39,4.4
    Matton, IL --,25,--
    Maywood, IL 1016,--,--
    Meadville, PA 3269,15,.5
    Medford, MA 901,54,6
    Medordd, OR 506,2,.4
    Melrose, MA 550,52,9.5
    Menominee, MI 388,31,8
    Middletown, NY 1159,37,3.2
    Middletown, OH 2000,130,6.5
    Milford, MA --,22,--
    Mishawak, IN --,23,--
    Missoula, MT 2100,139,6.6
    Mobile, AL 1389,240,17.3
    Moline, IL 2008,161,8
    Monmouth, IL 1285,4,.3
    Monroe, LA 400,30,7.5
    Montclaire, NJ 2312,64,2.8
    Montgomery, AL 1557,164,10.5
    Morganstown, WV 2539,--,--
    Morristown, NJ 766,9,1.2
    Moundsville, WV --,--,--
    Mount Vernon, NY 3109,69,2.2
    Mount Vernon, OH 700,7,1
    Muncie, IN 800,30,4.9
    Muscatine, IA --,--,--
    Muskogee, OK 708,--,--
    Nashna, NH --,91,--
    Natick, MA 1623,--,--
    Newark, OH 6793,61,.9
    New Britain, CT 6445,212,3.3
    New Brunswick, NJ 7168,--,--
    Newburgh, NY 1552,43,2.8
    Newburyport, MA 385,42,10.9
    Newcastle, IN 408,--,--
    New Castle, PA 2801,212,7.6
    New London 1653,42,2.5
    Newport, KY 1500,236,15.7
    Newport News, VA 4618,222,4.8
    Newport, RI --,65,--
    New Rochelle, NY 1500,42,2.8
    Newton, MA 5967,199,3.3
    Niagara Falls, NY 6828,376,5.5
    Norfolk, VA 8585,32,.4
    Norristown, PA --,--,--
    North Adams, MA 1328,27,2
    Northampton, MA 1659,55,3.3
    North Attleboro, MA 605,--,--
    North Braddock, PA 2801,29,1
    Northbridge, MA 4500,17,.4
    North Little Rock, AK 1388,21,1.5
    North Tonawanda, NY 1787,89,5
    Norwalk, CT 2500,88,3.5
    Norwich, CT --,65,--
    Norwood, OH 1400,--,--
    Oak Park, IL 1467,13,9
    Ogden, UT 5624,232,4.1
    Oil City, PA 2720,--,--
    Olean, NY 4637,78,1.7
    Oneonta, NY 1450,14,1
    Oshkosh, WI 2330,71,3
    Ossining, NY 1700,14,.8
    Paducah, KY 4800,--,--
    Parkersburg, WV 1022,57,5.6
    Pasadena, CA 2455,72,29.3
    Passaic, NY 3231,65,2
    Pawtucket, RI --,81,--
    Peabody, MA 462,43,9.3
    Peekskill, NY 1250,84,6.7
    Pekin, IL 1200,8,66.7
    Peoria, IL 7260,346,4.8
    Perth Amboy, NJ 484,41,8.5
    Peru, IL 975,30,3.1
    Petersburg, VA --,192,--
    Phoenixville, PA --,153,--
    Piqua, OH 4307,22,.5
    Pittsfield, MA 2943,--,--
    Pittston, PA 718,--,--
    Plainfield, NJ 2508,--,--
    Plattsburg, NY 465,91,19.6
    Plymouth, MA 1071,35,3.3
    Plymouth, PA 1273,--,--
    Pocatello, ID 246,60,24.4
    Pontiac, MI 2568,103,4
    Port Chester, NY 2373,122,5.1
    Portland, ME 6065,352,5.8
    Portsmouth, NH 4000,15,.4
    Portsmouth, OH 2792,48,1.7
    Portsmouth, VA 5662,80,1.4
    Poughkeepsie, NY --,--,--
    Punxsutawney, PA 1200,44,3.7
    Quincy, IL 2909,40,1.4
    Quincy, MA 861,184,21.4
    Rahway, NJ --,--,--
    Raleigh, NC 3055,169,5.5
    Redlands, CA 834,12,1.4
    Reno, NV 619,--,--
    Richmond, IN 749,31,4.1
    Riverside, CA 2591,4,.2
    Roanoke, VA 6788,190,2.8
    Rockford, IL --,13,--
    Rocky Mount, NC 4000,52,1.3
    Rome, GA --,110,--
    Rome, NY 1991,71,3.6
    Rutland, VT 899,7,.8
    Sacramento, CA 4517,279,6.2
    St. Charles, MO 684,14,2
    St. Cloud, MN --,20,--
    St. Joseph, MO 3910,93,2.4
    Salem, MA 905,47,5.2
    Salem, OR 631,12,1.9
    Salina, KS --,--,--
    San Angelo, TX
    San Bernardino, CA --,--,--
    San Diego, CA 4392,332,7.5
    Sandusky, OH 2513,6,.2
    Sanford, ME 2800,30,1.1
    Santa Ana, CA 1053,8,.8
    Santa Barbara, CA 1754,14,.8
    Santa Cruz, CA 939,17,1.8
    Saratoga Springs, NY 1295,65,5
    Saugus, MA --,27,--
    Sault Ste. Marie, MI 883,9,1
    Selma, AL 993,89,9
    Shawnee, OK 8689,15,.2
    Sheboygan, WI 1646,87,.5
    Shelbyville, IN 2000,38,1.9
    Sioux Falls, SD 1868,88,4.7
    Somerville, MA 2474,206,8.3
    South Bend, IN --,--,--
    Southbridge, MA --,49,--
    Spartanburg, SC --,7,--
    Springfield, IL --,--,--
    Springfield, MO --,278,--
    Springfield, OH --,167,--
    Stamford, CT 2151,110,5.1
    Staunton, VA --,8,--
    Steelton, PA --,125,--
    Steubenville, OH --,--,--
    Stillwater, MN --,7,--
    Stockton, CA 7098,85,1.2
    Streator, IL --,116,--
    Sunbury, PA 735,--,--
    Superior, WI 1520,39,2.6
    Tamaqua, PA 2500,29,1.2
    Taunton, MA 3787,237,6.3
    Terre Haute, IN 2445,36,1.5
    Tiffin, OH 389,2,.5
    Traverse City, MI 161,20,12.4
    Troy, NY 5000,146,2.9
    Tulsa, OK 665,--,--
    Tyler, TX 1407,7,.5
    Union, NJ 179,--,--
    Urbana, IL 600,3,.5
    Utica, NY 3642,330,9.1
    Vallejo, CA 3000,211,7
    Vancouver, WA 2163,10,.5
    Waltham, MA 2335,240,10.3
    Warren, OH 1305,121,9.3
    Warren, PA 1457,43,3
    Washington, PA 3524,--,--
    Waterbury, CT 6182,657,10.6
    Waterloo, IA 2112,--,--
    Watertown, MA 454,6,1.3
    Watertown, NY --,252,--
    Waterville, ME 825,--,--
    Waussau, WI 2100,81,3.9
    Webster, MA 442,31,7.0
    West Chester, PA --,--,--
    Westfield, MA 1724,108,6.3
    West Hoboken, NJ 1136,25,2.2
    West New York, NJ 783,66,8.4
    West Orange, NJ 1408,16,1.1
    Weymouth, MA 260,46,17.7
    Wheeling, WV --,--,--
    White Plains, NY 3023,75,2.5
    Wichita, KS 5345,300,5.6
    Wilmington, DE 217,217,--
    Wilmington, NC 2893,33,1.1
    Winchester, MA 1212,26,2.1
    Winona, MN --,71,--
    Winston Salem, NC --,244,--
    Winthrop, MA 1296,5,.4
    Woburn, MA 567,27,4.8
    Yakima, WA --,120,--
    York, PA 7500,250,3.3
    Zanesville, OH --,17,--
    Attached Files
    Last edited by Theresa42; June 15, 2007, 12:38 AM.

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  • gsgs
    replied
    Re: analysis by Frost,Sydenstricker




    Code:
    monthly deaths from pneumonia per million people 1887-1916 in Massachusetts
    195,167, 19,226,161, 77, 55, 41, 56, 90,148,153
    247,251,264,213,164, 80, 55, 40, 62,114, 98,139
    179,163,211,198,149, 75, 53, 52, 54,106,132,193
    478,177,176,201,127, 85, 62, 48, 50, 94,118,183
    206,164,206,251,239,101, 59, 40, 40, 77,138,364
    615,252,231,214,170, 83, 54, 42, 68, 85,125,190
    273,254,286,331,273,111, 80, 50, 61, 98,143,319
    328,199,227,185,149, 85, 51, 51, 68, 82,113,136
    191,344,308,209,144, 76, 56, 53, 47,105,134,173
    195,207,249,259,187,103, 76, 45, 76,107,127,188
    211,249,315,197,152,102, 79, 45, 60,117,131,169
    188,171,185,187,157, 66, 60, 48, 56,106,128,210
    375,258,206,184,140, 89, 50, 48, 58, 82,132,190
    227,211,420,305,176, 87, 53, 43, 53, 62, 99,147
    226,266,262,199,139, 77, 34, 34, 57, 91,142,151
    157,189,199,158,155, 80, 62, 53, 57,118,145,206
    252,258,254,181,168, 82, 70, 45, 46, 77,133,189
    226,227,241,212,142, 67, 59, 44, 65, 94,150,195
    247,277,236,171,155, 85, 54, 48, 62, 89,158,200
    225,219,241,217,149, 51, 62, 50, 60, 94,138,210
    255,244,234,183,143, 95, 51, 51, 71, 93,127,269
    266,222,211,194,135, 66, 49, 58, 64, 92,124,176
    221,200,261,291,160, 97, 51, 50, 54, 89,136,183
    241,207,275,233,169, 97, 73, 63, 91,123,170,236
    226,271,239,202,169, 72, 67, 51, 67, 90,118,162
    198,202,212,164,133, 62, 50, 41, 58, 95,105,199
    235,228,249,193,171,107, 62, 54, 67, 83,104,168
    229,201,232,204,152, 82, 51, 55, 60,101,126,168
    178,193,285,277,136, 66, 71, 58, 60, 88, 98,221
    356,255,230,173,140, 74, 53, 41, 59, 76,128,183
    monthly deaths from influenza per million people 1887-1916 in Massachusetts
    90,5,14,28,14,5,0,0,0,5,10,5,5
    51,14,5,5,0,5,0,0,0,5,14,0,5
    123,9,9,14,14,5,5,5,0,0,9,0,55
    1831,1095,290,143,94,40,36,22,4,18,22,27,40
    2374,39,39,100,387,465,157,52,52,52,22,26,1008
    4105,2433,704,302,183,110,72,51,17,21,38,68,47
    1227,58,70,120,257,207,46,17,12,4,0,46,390
    1497,741,316,138,169,40,20,16,8,16,20,16,36
    1810,79,450,697,329,111,36,24,8,8,4,24,36
    581,93,62,116,105,46,39,15,12,4,27,19,43
    1440,82,242,568,250,102,27,15,23,15,27,27,61
    856,59,59,156,130,148,37,11,22,7,19,26,182
    2072,934,581,218,105,51,29,7,4,7,33,18,84
    2527,121,150,920,923,185,68,21,7,11,11,32,78
    1894,432,636,408,151,84,46,14,4,21,18,25,77
    589,59,87,90,69,73,24,21,14,3,24,45,82
    1265,157,308,366,161,82,38,14,10,3,21,34,70
    1026,145,206,280,138,78,27,20,7,10,17,34,64
    1469,275,458,348,175,86,30,7,7,3,3,20,56
    657,113,107,129,78,36,6,19,13,6,16,16,117
    1613,361,348,228,104,70,22,3,3,3,19,54,399
    1042,448,210,151,86,31,12,6,3,19,15,22,37
    716,76,193,230,88,36,24,3,0,3,15,21,27
    740,139,101,175,151,53,9,9,0,3,21,35,44
    463,87,96,90,79,41,3,9,0,3,12,6,49
    693,146,135,106,60,26,20,17,9,9,26,17,123
    575,200,76,85,51,34,14,0,17,14,20,25,39
    358,75,39,75,64,36,14,6,0,6,3,17,25
    634,79,60,98,188,49,16,8,5,8,11,22,87
    1450,632,304,167,75,56,32,16,13,5,16,43,89
    Last edited by gsgs; June 14, 2007, 01:38 PM.

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  • gsgs
    replied
    Re: analysis by Frost,Sydenstricker

    no Excel, just plain text or html. Send email or post.

    They have lots of tables, at the moment
    I was thinking at the last one with the
    cities.

    But we also need the inhabitants in 1918.
    And the geographical coordinates.
    Needn't be 100% exact, not all the cities needed.

    So, the names, flu-cases in 1918, flu-deaths in 1918.
    The other data should be available somewhere...

    Leave a comment:


  • Theresa42
    replied
    Re: analysis by Frost,Sydenstricker

    How interesting, gsgs! Do you mean into an Excel spreadsheet? I don't have time just at the moment, but if no one else gets to it first, I might have time later today (say in 8-10 hours from now). Which table(s) were you thinking of?

    Leave a comment:


  • gsgs
    replied
    Re: analysis by Frost, Sydenstricker

    does someone want to share his contribution to (pre?)pandemic
    research by typing the numbers into computer ?

    I already did the Massachusetts, NY, SF, Cleveland data.

    The last big table with the US-cities would be useful ,
    flu-cases and inhabitants needed. So we can make
    urban/rural statistics, which way it spread,
    how much delaying did work etc.



    monthly deaths from pneumonia/influenza per 1M people in Cleveland 1910-1918
    1362,1983,1800,2230,2135,1483,1079, 542, 482, 518, 856,1380,1900
    1065,1743,1659,1641,1550,1034, 775, 405, 506, 671, 810,1090, 932
    1146,1636,1412,1597,1427,1262, 917, 552, 750, 306, 888,1101,1854
    1319,1798,2051,2175,1525,1474,1075, 681, 506, 743,1153,1309,1286
    1172,1601,1752,1970,2018,1399, 533, 516, 463, 590, 664,1160,1437
    1627,1665,3331,2526,2018,1093, 774, 555, 787, 592,1218,1702,3368
    1985,5450,2092,2638,2669,2112, 866, 576, 821, 757,1536,1750,2429
    2109,3440,3860,4150,2338,2080,1458, 902, 664, 721,1600,1529,2670
    5480,1613,1785,1904,3663,1426, 600, 625, 435, 480,18120,21350,13760
    monthly deaths from pneumonia/influenza per 1M people in New York City 1910-1918
    2293,3278,3002,3433,3035,2254,1621,1255,1080,1269, 1547,2116,3659
    2177,3213,3256,3590,3387,2372,1372,1158, 972,1076,1450,1950,2408
    1986,2665,2945,2870,2546,2383,1535,1123, 990, 949,1578,1785,2516
    1997,2650,3530,3422,2427,2251,1589,1135,1019,1005, 1184,1729,2133
    1843,2473,2930,3194,2418,2111,1316, 925, 861, 881,1100,1629,2343
    2027,2537,2322,3254,3445,2121,1720,1032, 892, 908,1204,1671,3244
    1897,4025,2617,2520,2109,1946,1331,1137,1005, 877,1164,1540,2421
    1919,3179,3163,2373,2212,2024,1228, 726, 784, 895,1276,1855,2377
    6364,3484,2390,5480,4321,2014,1054, 813, 718,35160,3516,12506,5498
    monthly deaths from pneumonia/influenza per 1M people in San Francisco 1910-1918
    1286,1999,1340,1689,1482,1323,1016,1098,1126, 873,1182,1105,1182
    1357,2073,1500,1356, 686, 912,1500, 885, 830,1350,1327,1440,2709
    1260,2363,1916,1820,1319, 869, 477, 516, 679, 926, 842,1375,1983
    1396,2617,1921,1949,1435,1228, 910, 668, 721, 993,1255,1104,1949
    1226,1917,1398,1785,1329,1076, 841, 788, 630,1031, 709, 977,2310
    1332,2146,1374,1188,1254,1136,1014, 904,1110,1387,1162,1174,2118
    1332,2430,1656,1626,1413,1016, 840, 889, 711, 761, 889,1443,2210
    1275,2100,1854,1300,1214,1350, 722, 800, 775,1188,1000,1446,1675
    7130,2313,2043,2781,3102,1526,1398, 787, 738,1170,35340,20698,13310




    San Francisco almost always peaks in December, while East coast often have a Feb.,Mar. high.
    2 peaks could mean two strains, flu-A and flu-B or 2 different H3s, H3N8, or even H2,H1 ?
    The panflu-strain could have been present years before 1918.
    Last edited by Sally Furniss; June 14, 2007, 10:11 PM. Reason: Naking title search friendly

    Leave a comment:


  • gsgs
    started a topic 1918 Analysis with Charts and Graphs

    1918 Analysis with Charts and Graphs

    photocopy of a 1919 article, with graphs, statistics, reports, analysis

    http://statelibrary.dcr.state.nc.us/...R34JuneDec.pdf

    -------edit---Mar.2013, link bad
    http://www.flutrackers.com/forum/arc...p/t-74789.html


    http://digitalstatelibnc.cdmhost.com...c/cosuppress/1
    Last edited by gsgs; June 14, 2007, 04:30 PM.
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