Back to search

Article

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

2020-12-04

Abstract excerpt

<title>Abstract</title> <p>Background 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 mala...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
47072c67-d06c-5d7d-827b-80a2154e64a4
DOI
10.21203/rs.3.rs-70803/v3
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Estimating malaria incidence from routine health facility-based surveillance data in UgandaDOI 10.21203/rs.3.rs-70803/v3
Select a neighboring publication to make it the new centre.