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Estimating malaria incidence from routine health facility-based surveillance data in Uganda
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 are...
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| Published in: | Malar J |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
BioMed Central
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7709253/ https://ncbi.nlm.nih.gov/pubmed/33267886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12936-020-03514-z |
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