Evidence map›Paper›PMID 39507880›Full record

ArticleOpen forum infectious diseases2024

Geospatial Analysis of Malaria Burden in Kagera Region, Northwestern Tanzania Using Health Facility and Community Survey Data.

Daniel A Petro, Nyimvua Shaban, Sijenunu Aaron, Frank Chacky, Samuel Lazaro, Maciej F Boni, Deus S Ishengoma

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel A PetroDepartment of Mathematics, University of Dar es Salaam, Dar es Salaam, Tanzania.ORCID https://orcid.org/0009-0000-3812-4031
Nyimvua ShabanDepartment of Mathematics, University of Dar es Salaam, Dar es Salaam, Tanzania.
Sijenunu AaronOffice of the Chief Medical Officer, Ministry of Health, National Malaria Control Programme, Dodoma, Tanzania.
Frank ChackyOffice of the Chief Medical Officer, Ministry of Health, National Malaria Control Programme, Dodoma, Tanzania.ORCID https://orcid.org/0000-0002-6521-9156
Samuel LazaroOffice of the Chief Medical Officer, Ministry of Health, National Malaria Control Programme, Dodoma, Tanzania.
Maciej F BoniDepartment of Biology, Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, USA.
Deus S IshengomaGenomics Laboratory, National Institute for Medical Research, Dar es Salaam, Tanzania.

Funding

Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistanceR01AI153355 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI BONI, MACIEJ F · 2020 to 2024
$1.8M
NIAID NIH HHS R01 AI153355
6 · The paper itself

Abstract

Background: Malaria transmission in Tanzania has declined significantly over the last 2 decades due to scaled-up control interventions. However, recent confirmation of artemisinin partial resistance (ART-R) in Kagera region in northwest Tanzania threatens the ongoing efforts to eliminate malaria in the country. This study was conducted according to the World Health Organization recommendation to generate evidence of malaria burden in areas with confirmed ART-R as the first step before developing a response strategy to the resistance. Methods: We assessed the local burden of malaria in Kagera region by geospatial analysis, using data collected retrospectively from health facilities and community surveys from 2015 to 2023 to identify malaria hot spots. Results: From 2017 to 2023, a total of 8 124 363 suspected malaria cases were reported by health facilities, and 2 983 717 (36.7% [95% range across wards, 22.7%-50.7%]) tested positive by rapid diagnostic tests. Test positivity rates were similar among patients aged <5 years (33.1% [95% range, 19.7%-46.5%]) and those aged ≥5 years (33.7% [21.0%-46.5%]). The malaria prevalence was 10.0% (95% range across wards, 5.1%-14.9% [n = 84 999 of 853 761]) in pregnant women and 26.1% (11.7%-40.6% [n = 3409 of 13 065]) in schoolchildren. Despite high temporal variations, we identified hot spots and cold spots, including persistently high burden in 69 of 192 wards (35.9%). Conclusions: The malaria burden in Kagera exhibited high temporal and spatial heterogeneity, with schoolchildren showing the highest prevalence. This demographic pattern underlines the need for targeted interventions and provides evidence for developing an ART-R response for the region.

Indexed as

artemisinin partial resistanceKagera regionmalariamalaria hot spotsTanzania

Identifiers

PMID39507880
PMCPMC11540141

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.