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Dataset Information

Comparing malaria early detection methods in a declining transmission setting in northwestern Ethiopia.


ABSTRACT:

Background

Despite remarkable progress in the reduction of malaria incidence, this disease remains a public health threat to a significant portion of the world's population. Surveillance, combined with early detection algorithms, can be an effective intervention strategy to inform timely public health responses to potential outbreaks. Our main objective was to compare the potential for detecting malaria outbreaks by selected event detection methods.

Methods

We used historical surveillance data with weekly counts of confirmed Plasmodium falciparum (including mixed) cases from the Amhara region of Ethiopia, where there was a resurgence of malaria in 2019 following several years of declining cases. We evaluated three methods for early detection of the 2019 malaria events: 1) th

SUBMITTER: Nekorchuk DM 

PROVIDER: S-EPMC8067323 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature