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.

Details

Title
Routine data for malaria morbidity estimation in Africa: challenges and prospects
Author
Alegana, Victor A; Okiro, Emelda A; Snow, Robert W
Pages
1-13
Section
Opinion
Publication year
2020
Publication date
2020
Publisher
BioMed Central
e-ISSN
17417015
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2414692379
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.