This study used remotely sensed variables and other environmental covariates to examine the predictability of intra-urban variations of malaria infection risk across the rapidly growing city of Dar es Salaam, Tanzania between 2006 and 2014. The predictive maps produced can serve as valuable resources for municipal councils aiming to shrink the extents of malaria across cities, target resources for vector control or intensify mosquito and disease surveillance.
This pilot explored the feasibility and utility of tracking the prevalence of malaria infection in pregnant women attending their first antenatal care (ANC) visit and infants presenting at 9–12 months of age for measles vaccination as possible sentinel populations to monitor changes in malaria prevalence.
Author: Benedictor E, Colaco R, Gutman J, Kafuko JM, Kaspar N, Mandike R, McElroy PD, Molteni F, Mugalura FE, Mutafungwa A, Mwaipape O, Ngondi JM, Ramsan MM, Reithinger R, Thadeo A, Willilo RA
Publication date: July 2016
Source: Malaria Journal