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

December 16, 2020 - 09:54 -- Open Access
Kigozi SP, Kigozi RN, Sebuguzi CM, Cano J, Rutazaana D, Opigo J, Bousema T, Yeka A, Gasasira A, Sartorius B, Pullan RL
BMC Public Health. 2020 Dec 14;20(1):1913

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.

Estimating malaria incidence from routine health facility-based surveillance data in Uganda

December 3, 2020 - 12:40 -- Open Access
Adrienne Epstein, Jane Frances Namuganga, Emmanuel Victor Kamya, Joaniter I. Nankabirwa, Samir Bhatt, Isabel Rodriguez-Barraquer, Sarah G. Staedke, Moses R. Kamya, Grant Dorsey and Bryan Greenhouse
Malaria Journal 2020 19:445, 2 December 2020

Accurate measures of malaria incidence are essential to track progress and target high-risk populations. While health management information system (HMIS) data provide counts of malaria cases, quantifying the denominator for incidence using these data is challenging because catchment areas and care-seeking behaviours are not well defined. This study’s aim was to estimate malaria incidence using HMIS data by adjusting the population denominator accounting for travel time to the health facility.

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