| Literature DB >> 26958854 |
Alison Norris1, Kevin Hachey2, Andrew Curtis3, Margaret Bourdeaux4.
Abstract
BACKGROUND: Designing effective public health campaigns in areas of armed conflict requires a nuanced understanding of how violence impacts the epidemiology of the disease in question.Entities:
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Year: 2016 PMID: 26958854 PMCID: PMC4784936 DOI: 10.1371/journal.pone.0149074
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Vaccine coverage in Afghanistan.
(A) Afghanistan national rate of oral polio vaccine coverage (2001–2011). Coverage was assessed via parental recall of children with non-polio acute flaccid paralysis. (B) Vaccine coverage in Afghanistan as of November 2011, by region. Dark grey represents 26% in the South Region (plus Farah province), light grey represents 71% in the West Region (minus Farah province), white represents 80% in the rest of the country.
Fig 2Greater IED density overlaps with high risk polio districts.
(A) The thirteen “high-risk” districts, as identified by the Afghanistan members of the Global Polio Eradication Initiative. Adapted from GPEI 2010 Annual Report. (B) Incidence density map created by plotting 3,414 IED detonations from 2009.
Comparison of mean number of IED detonations in non-polio high-risk districts vs. polio high-risk districts, by year.
| Non-polio high-risk district (n = 315 districts) | Polio high-risk districts (n = 13 districts) | ||||||
|---|---|---|---|---|---|---|---|
| Year | Total IEDs across districts | Mean IEDs/ district | (SD) | Total IEDs across districts | Mean IEDs/ district | (SD) | P-value for t-test |
| 2004 | 160 | 0.51 | (1.22) | 34 | 2.62 | (3.23) | 0.0360 |
| 2005 | 233 | 0.74 | (1.66) | 61 | 4.69 | (4.61) | 0.0098 |
| 2006 | 562 | 1.78 | (3.65) | 150 | 11.54 | (13.42) | 0.0228 |
| 2007 | 907 | 2.88 | (6.91) | 251 | 19.31 | (25.68) | 0.0404 |
| 2008 | 1170 | 3.71 | (9.64) | 504 | 38.77 | (37.26) | 0.0055 |
| 2009 | 2525 | 8.02 | (21.01) | 1044 | 80.31 | (60.13) | 0.0010 |