Routine data for malaria morbidity estimation in Africa:challenges and prospects

Alegana, V.A. and Okiro, E.A. and Snow, R.W. (2020) Routine data for malaria morbidity estimation in Africa:challenges and prospects. BMC Medicine, 18 (1). ISSN 1741-7015

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Abstract

BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION: Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.

Item Type:
Journal Article
Journal or Publication Title:
BMC Medicine
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700
Subjects:
ID Code:
144851
Deposited By:
Deposited On:
21 Jul 2020 16:00
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Sep 2020 06:10