AH1N1 cases in Finland: Difference between revisions
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*[[A(H1N1)v immunity in the Finnish population]] | *[[A(H1N1)v immunity in the Finnish population]] | ||
*[[Population of Finland]] | |||
=== Formula === | |||
*Prevalence of swine flu in the unimmune population is assumed to be the same for all sub age groups of the age groups in data above. This is used to calculate the number of swine flu cases in the age groups of our [[Population of Finland| population data]]. | |||
*It is also assumed that vaccinated subjects did not catch swine flu. | |||
<rcode> | |||
# Observed swine flu cases expanded to all age groups | |||
library(OpasnetBaseUtils) | |||
Pop <- op_baseGetData("opasnet_base", "Op_en2949")[,-1] | |||
Imm <- op_baseGetData("opasnet_base", "Op_en4943")[,-1] | |||
names(Pop)[length(Pop)] <- "pop" | |||
names(Imm)[length(Imm)] <- "imm" | |||
Age <- as.factor(c("0-4 ","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59", | |||
"60-64","65-69","70-74","75-79","80+","All")) | |||
cases <- c(914, rep(2385, 2), rep(4134, 10), rep(236, 4), 914+2385+4314+236) | |||
sf <- data.frame(Age, cases) | |||
sf <- merge(sf, Pop) | |||
sf <- merge(sf, Imm) | |||
sff <- data.frame(Age = sf$Age, Result=NA) | |||
for (i in 1:nrow(sf)) {sff[i,2] <- sf$pop[i] * (1 - sf$imm[i]) * sf$cases[i] / sum(sf[sf$cases==sf$cases[i], "pop"] * | |||
(1 - sf[sf$cases==sf$cases[i], "imm"]))} | |||
sff | |||
#op_baseWrite("opasnet_base", sff) | |||
</rcode> | |||
== Result == | == Result == | ||
Revision as of 08:27, 30 March 2011
| [show] |
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Scope
What was the number of AH1N1 cases in Finland during 2009-2010?
Definition
Data
| Year | Week | Period | Infl_A new cases | Infl_A cumulative cases | H1N1v new cases | H1N1v cumulative cases | Infl_B new cases | Infl_B cumulative cases |
|---|---|---|---|---|---|---|---|---|
| 2009 | 20 | 11.05-17.05 | 2 | 10 | 0 | 2 | 13 | 33 |
| 2009 | 21 | 18.05-24.05 | 7 | 17 | 5 | 7 | 7 | 40 |
| 2009 | 22 | 25.05-31.05 | 5 | 22 | 3 | 10 | 4 | 44 |
| 2009 | 23 | 01.06-07.06 | 5 | 27 | 0 | 10 | 4 | 48 |
| 2009 | 24 | 08.06-14.06 | 16 | 43 | 7 | 17 | 0 | 48 |
| 2009 | 25 | 15.06-21.06 | 17 | 60 | 15 | 32 | 1 | 49 |
| 2009 | 26 | 22.06-28.06 | 12 | 72 | 10 | 42 | 4 | 53 |
| 2009 | 27 | 29.06-05.07 | 41 | 113 | 34 | 76 | 1 | 54 |
| 2009 | 28 | 06.07-12.07 | 42 | 155 | 39 | 115 | 1 | 55 |
| 2009 | 29 | 13.07-19.07 | 48 | 203 | 48 | 163 | 0 | 55 |
| 2009 | 30 | 20.07-26.07 | 34 | 237 | 32 | 195 | 0 | 55 |
| 2009 | 31 | 27.07-02.08 | 18 | 255 | 12 | 207 | 2 | 57 |
| 2009 | 32 | 03.08-09.08 | 15 | 270 | 13 | 220 | 2 | 59 |
| 2009 | 33 | 10.08-16.08 | 5 | 275 | 5 | 225 | 0 | 59 |
| 2009 | 34 | 17.08-23.08 | 15 | 290 | 12 | 237 | 1 | 60 |
| 2009 | 35 | 24.08-30.08 | 12 | 302 | 9 | 246 | 0 | 60 |
| 2009 | 36 | 31.08-06.09 | 25 | 327 | 21 | 267 | 3 | 63 |
| 2009 | 37 | 07.09-13.09 | 26 | 353 | 23 | 290 | 2 | 65 |
| 2009 | 38 | 14.09-20.09 | 17 | 370 | 14 | 304 | 2 | 67 |
| 2009 | 39 | 21.09-27.09 | 15 | 385 | 11 | 315 | 0 | 67 |
| 2009 | 40 | 28.09-04.10 | 8 | 393 | 7 | 322 | 0 | 67 |
| 2009 | 41 | 05.10-11.10 | 58 | 451 | 58 | 380 | 0 | 67 |
| 2009 | 42 | 12.10-18.10 | 124 | 575 | 122 | 502 | 1 | 68 |
| 2009 | 43 | 19.10-25.10 | 348 | 923 | 332 | 834 | 0 | 68 |
| 2009 | 44 | 26.10-01.11 | 749 | 1672 | 722 | 1556 | 3 | 71 |
| 2009 | 45 | 02.11-08.11 | 1922 | 3594 | 1687 | 3243 | 3 | 74 |
| 2009 | 46 | 09.11-15.11 | 2662 | 6256 | 2169 | 5412 | 9 | 83 |
| 2009 | 47 | 16.11-22.11 | 1914 | 8170 | 1354 | 6766 | 9 | 92 |
| 2009 | 48 | 23.11-29.11 | 851 | 9021 | 597 | 7363 | 2 | 94 |
| 2009 | 49 | 30.11-06.12 | 265 | 9286 | 204 | 7567 | 5 | 99 |
| 2009 | 50 | 07.12-13.12 | 86 | 9372 | 56 | 7623 | 2 | 101 |
| 2009 | 51 | 14.12-20.12 | 33 | 9405 | 16 | 7639 | 2 | 103 |
| 2009 | 52 | 21.12-27.12 | 17 | 9422 | 7 | 7646 | 4 | 107 |
| 2010 | 53 | 28.12-03.01 | 12 | 9434 | 7 | 7653 | 2 | 109 |
| 2010 | 1 | 04.01-10.01 | 10 | 9444 | 9 | 7662 | 0 | 109 |
| 2010 | 2 | 11.01-17.01 | 9 | 9453 | 3 | 7665 | 2 | 111 |
| 2010 | 3 | 18.01-24.01 | 1 | 9454 | 0 | 7665 | 0 | 111 |
| 2010 | 4 | 25.01-31.01 | 3 | 9457 | 2 | 7667 | 1 | 112 |
| 2010 | 5 | 01.02-07.02 | 1 | 9458 | 1 | 7668 | 0 | 112 |
| 2010 | 6 | 08.02-14.02 | 1 | 9459 | 0 | 7668 | 2 | 114 |
| 2010 | 7 | 15.02-21.02 | 0 | 9459 | 0 | 7668 | 1 | 115 |
| 2010 | 8 | 22.02-28.02 | 0 | 9459 | 0 | 7668 | 1 | 116 |
| 2010 | 9 | 01.03-07.03 | 2 | 9461 | 0 | 7668 | 1 | 117 |
| 2010 | 10 | 08.03-14.03 | 1 | 9462 | 1 | 7669 | 2 | 119 |
| Age group | A_Infl | H1N1v | B_Infl |
|---|---|---|---|
| 0-4 | 1332 | 914 | 31 |
| 5-14 | 2989 | 2385 | 26 |
| 15-64 | 4880 | 4134 | 57 |
| 65+ | 261 | 236 | 5 |
Unit
#
Dependencies
Formula
- Prevalence of swine flu in the unimmune population is assumed to be the same for all sub age groups of the age groups in data above. This is used to calculate the number of swine flu cases in the age groups of our population data.
- It is also assumed that vaccinated subjects did not catch swine flu.
Result
See also
- http://www.ktl.fi/portal/suomi/terveyden_ammattilaisille/tartuntataudit_ja_epidemiat/influenssa_a_h1n1v_raportoidut_tapaukset
- http://titanium.ktl.fi/roko/stat/vaccreg/public/
- http://titanium.ktl.fi/roko/stat/vaccreg/public/pandvacc.csv
- H1N1 cases in hospital care
- Assessment of the health impacts of H1N1 vaccination
Keywords
References
- ↑ Jump up to: 1.0 1.1 fi:Vuoden 2009 influenssapandemia
- ↑ Jump up to: 2.0 2.1 Infectious disease registry (TTR) maintained by THL [1]
Related files
<mfanonymousfilelist></mfanonymousfilelist>