Comparison of fine-scale malaria strata derived from population survey data collected using RDTs, microscopy and qPCR in South-Eastern Tanzania

This study highlights significant fine-scale variability in malaria burden within and between the study districts and emphasizes the variable performance of the testing methods when stratifying risk at local scales. While RDTs and microscopy were effective in high-transmission areas, they performed poorly in low-transmission settings; and classified most villages as very low or low risk. In contrast, qPCR classified most villages as moderate or high risk. The findings emphasize that, where precise mapping and effective targeting of malaria are required in localized settings, tests must be both operationally feasible and highly sensitive. Furthermore, when planning microstratification efforts to guide local control measures, it is crucial to carefully consider both the strengths and limitations of the available data and the testing methods employed.

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Publication Details

Journal
Malaria Journal
Published
2024-12-18
DOI
https://doi.org/10.1186/s12936-024-05191-8
Citations
2
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
1.09

Funders

Controls
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article

Comparison of fine-scale malaria strata derived from population survey data collected using RDTs, microscopy and qPCR in South-Eastern Tanzania

Elihaika G. Minja, Fredros O. Okumu, Issa H. Mshani, Simon A. Babayan et al.
2 citations
Malaria Journal
Mosquito-borne diseases and control
1.09
article

Comparison of fine-scale malaria strata derived from population survey data collected using RDTs, microscopy and qPCR in South-Eastern Tanzania

Elihaika G. Minja, Fredros O. Okumu, Issa H. Mshani, Simon A. Babayan, Alex J. Limwagu, Najat F. Kahamba, Nasoro S. Lilolime, Alfred B. Lazaro, Francesco Baldini, Halfan S. Ngowo, Donal Bisanzio, Faraja E. Makala, Idrisa S. Mchola, Rukia. M. Njalambaha, Linda N. Mukabana, Said Abbasi, F. Jackson
article en
2 citations

Abstract

This study highlights significant fine-scale variability in malaria burden within and between the study districts and emphasizes the variable performance of the testing methods when stratifying risk at local scales. While RDTs and microscopy were effective in high-transmission areas, they performed poorly in low-transmission settings; and classified most villages as very low or low risk. In contrast, qPCR classified most villages as moderate or high risk. The findings emphasize that, where precise mapping and effective targeting of malaria are required in localized settings, tests must be both operationally feasible and highly sensitive. Furthermore, when planning microstratification efforts to guide local control measures, it is crucial to carefully consider both the strengths and limitations of the available data and the testing methods employed.

Malaria JournalVol. 23(1)
Ifakara Health Institute (TZ), Swiss Tropical and Public Health Institute (CH), RTI International (US), University of Basel (CH), University of the Witwatersrand (ZA), Jomo Kenyatta University of Agriculture and Technology (KE), University of Glasgow (GB), Nelson Mandela African Institution of Science and Technology (TZ)
Howard Hughes Medical Institute, Bill and Melinda Gates Foundation, Royal Society, University of Glasgow
Openalex Percentile: Top 19%
Mosquito-borne diseases and control
1.09
DOIOpen Access PDFOpenAlex
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