Spatial-temporal patterns of malaria incidence in Uganda using HMIS data from 2015 to 2019.

ABSTRACT:

Background

As global progress to reduce malaria transmission continues, it is increasingly important to track changes in malaria incidence rather than prevalence. Risk estimates for Africa have largely underutilized available health management information systems (HMIS) data to monitor trends. This study uses national HMIS data, together with environmental and geographical data, to assess spatial-temporal patterns of malaria incidence at facility catchment level in Uganda, over a recent 5-year period.

Methods

Data reported by 3446 health facilities in Uganda, between July 2015 and September 2019, was analysed. To assess the geographic accessibility of the health facilities network, AccessMod was employed to determine a three-hour cost-distance catchment around each facility.

SUBMITTER: Kigozi SP 

PROVIDER: S-EPMC7737387 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature