1. Risk factors and short-term projections for serotype-1 poliomyelitis incidence in Pakistan: A spatiotemporal analysis
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Molodecky, Natalie A., Blake, Isobel M., O'Reilly, Kathleen M., Wadood, Mufti Zubair, Safdar, Rana M., Wesolowski, Amy, Buckee, Caroline O., Bandyopadhyay, Ananda S., Okayasu, Hiromasa, and Grassly, Nicholas C.
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Poliomyelitis -- Risk factors -- Distribution -- Drug therapy ,Poliovirus vaccines -- Usage ,Company distribution practices ,Biological sciences - Abstract
Background Pakistan currently provides a substantial challenge to global polio eradication, having contributed to 73% of reported poliomyelitis in 2015 and 54% in 2016. A better understanding of the risk factors and movement patterns that contribute to poliovirus transmission across Pakistan would support evidence-based planning for mass vaccination campaigns. Methods and findings We fit mixed-effects logistic regression models to routine surveillance data recording the presence of poliomyelitis associated with wild-type 1 poliovirus in districts of Pakistan over 6-month intervals between 2010 to 2016. To accurately capture the force of infection (FOI) between districts, we compared 6 models of population movement (adjacency, gravity, radiation, radiation based on population density, radiation based on travel times, and mobile-phone based). We used the best-fitting model (based on the Akaike Information Criterion [AIC]) to produce 6-month forecasts of poliomyelitis incidence. The odds of observing poliomyelitis decreased with improved routine or supplementary (campaign) immunisation coverage (multivariable odds ratio [OR] = 0.75, 95% confidence interval [CI] 0.67-0.84; and OR = 0.75, 95% CI 0.66-0.85, respectively, for each 10% increase in coverage) and increased with a higher rate of reporting non-polio acute flaccid paralysis (AFP) (OR = 1.13, 95% CI 1.02-1.26 for a 1-unit increase in non-polio AFP per 100,000 persons aged Conclusions Spatiotemporal variation in immunization performance and population movement patterns are important determinants of historical poliomyelitis incidence in Pakistan; however, movement dynamics were less influential in predicting future cases, at a time when the polio map is shrinking. Results from the regression models we present are being used to help plan vaccination campaigns and transit vaccination strategies in Pakistan., Author(s): Natalie A. Molodecky 1,*, Isobel M. Blake 1, Kathleen M. O'Reilly 1, Mufti Zubair Wadood 2, Rana M. Safdar 3, Amy Wesolowski 4,5, Caroline O. Buckee 4,6, Ananda S. [...]
- Published
- 2017
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