Key result
Polio-high-risk districts in Afghanistan linked to ~10-fold more IED detonations than non-high-risk districts.
Why the study?
A nuanced understanding of how armed conflict impacts polio epidemiology is needed to design effective vaccination campaigns in violent contexts.
Observational (n=328)
Answers are grounded in this paper and cite their sources.
Conflict may impede polio control; observational link leaves open causality and intervention priorities.
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. METHODS: We examine the geographical relationship between violence (represented by the location of detonated Improvised Explosive Devices) and polio incidence by generating maps of IEDs and polio incidence during 2010, and by comparing the mean number of IED detonations in polio high-risk districts with non polio high-risk districts during 2004-2009. RESULTS: We demonstrate a geographic relationship between IED violence and incident polio. Districts that have high-risk for polio have highly statistically significantly greater mean numbers of IEDs than non polio high-risk districts (p-values 0.0010-0.0404). CONCLUSIONS: The geographic relationship between armed conflict and polio incidence provides valuable insights as to how to plan a vaccination campaign in violent contexts, and allows us to anticipate incident polio in the regions of armed conflict. Such information permits vaccination planners to engage interested armed combatants to co-develop strategies to mitigate the effects of violence on polio.
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Norris et al. (2016) conducted an observational in Poliomyelitis (n=328). Polio high-risk district status vs. Non-polio high-risk district status was evaluated on Mean number of IED detonations per district (2009 data) (p=0.0010). Districts at high risk for polio in Afghanistan had a significantly greater mean number of IED detonations compared to non-high-risk districts (80.31 vs 8.02 in 2009, p=0.0010).
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