Evidence map›Paper›PMID 34051786›Full record

ArticleBMC public health2021

Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study.

Benjamin L Rice, Christopher D Golden, Hervet J Randriamady, Anjaharinony Andry Ny Aina Rakotomalala, Miadana Arisoa Vonona, Evelin Jean Gasta Anjaranirina, James Hazen, Marcia C Castro, C Jessica E Metcalf, Daniel L Hartl

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Benjamin L RiceDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA. b.rice@princeton.edu.
Christopher D GoldenMadagascar Health and Environmental Research (MAHERY), Maroantsetra, Madagascar.
Hervet J RandriamadyMadagascar Health and Environmental Research (MAHERY), Maroantsetra, Madagascar.
Anjaharinony Andry Ny Aina RakotomalalaMadagascar Health and Environmental Research (MAHERY), Maroantsetra, Madagascar.
Miadana Arisoa VononaMadagascar Health and Environmental Research (MAHERY), Maroantsetra, Madagascar.
Evelin Jean Gasta AnjaranirinaMadagascar Health and Environmental Research (MAHERY), Maroantsetra, Madagascar.
James HazenCatholic Relief Services (CRS) Madagascar, Antananarivo, Madagascar.
Marcia C CastroDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Daniel L HartlDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Institute Malgache De Recherches Appliquées · MGHarvard University · USCatholic University of Madagascar · MGHarvard Global Health Institute · USPrinceton University · US

Funding

Wellcome Trust 106866/Z/15/Z
6 · The paper itself

Abstract

backgroundLarge-scale variation in ecological parameters across Madagascar is hypothesized to drive varying spatial patterns of malaria infection. However, to date, few studies of parasite prevalence with resolution at finer, sub-regional spatial scales are available. As a result, there is a poor understanding of how Madagascar's diverse local ecologies link with variation in the distribution of infections at the community and household level. Efforts to preserve Madagascar's ecological diversity often focus on improving livelihoods in rural communities near remaining forested areas but are limited by a lack of data on their infectious disease burden.

methodsTo investigate spatial variation in malaria prevalence at the sub-regional scale in Madagascar, we sampled 1476 households (7117 total individuals, all ages) from 31 rural communities divided among five ecologically distinct regions. The sampled regions range from tropical rainforest to semi-arid, spiny forest and include communities near protected areas including the Masoala, Makira, and Mikea forests. Malaria prevalence was estimated by rapid diagnostic test (RDT) cross-sectional surveys performed during malaria transmission seasons over 2013-2017.

resultsIndicative of localized hotspots, malaria prevalence varied more than 10-fold between nearby (< 50 km) communities in some cases. Prevalence was highest on average in the west coast region (Morombe district, average community prevalence 29.4%), situated near protected dry deciduous forest habitat. At the household level, communities in southeast Madagascar (Mananjary district) were observed with over 50% of households containing multiple infected individuals at the time of sampling. From simulations accounting for variation in household size and prevalence at the community level, we observed a significant excess of households with multiple infections in rural communities in southwest and southeast Madagascar, suggesting variation in risk within communities.

conclusionsOur data suggest that the malaria infection burden experienced by rural communities in Madagascar varies greatly at smaller spatial scales (i.e., at the community and household level) and that the southeast and west coast ecological regions warrant further attention from disease control efforts. Conservation and development efforts in these regions may benefit from consideration of the high, and variable, malaria prevalences among communities in these areas.

Indexed as

MalariaCross-Sectional StudiesHumansMadagascarPrevalenceRural PopulationCommunity healthEcologyMadagascarMalariaSpatial variation

Identifiers

PMID34051786
PMCPMC8164762
OpenAlexW3164682720

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.