Evidence map›Paper›PMID 32993669›Full record

ArticleMalaria journal2020

Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar.

Nicholas J Arisco, Benjamin L Rice, Luciano M Tantely, Romain Girod, Gauthier N Emile, Hervet J Randriamady, Marcia C Castro, Christopher D Golden

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

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  3. Integrated Malaria Control in Madagascar: From Vector Dynamics to Community Interventions.The American journal of tropical medicine and hygiene · 2026
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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

8 authors at 4 institutions in 2 countries.

Nicholas J AriscoDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, Boston, MA, 02115, USA. narisco@g.harvard.edu.ORCID http://orcid.org/0000-0002-7794-3424
Benjamin L RiceDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, USA.
Luciano M TantelyMedical Entomology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Romain GirodMedical Entomology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Gauthier N EmileMadagascar Health and Environmental Research (MAHERY), Antananarivo, Madagascar.
Hervet J RandriamadyMadagascar Health and Environmental Research (MAHERY), Antananarivo, Madagascar.
Marcia C CastroDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, Boston, MA, 02115, USA.
Christopher D GoldenDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 329, Boston, MA, 02115, USA.
Harvard University · USInstitute Malgache De Recherches Appliquées · MGInstitut Pasteur de Madagascar · MGHarvard Global Health Institute · US

Funding

Airbus AH08211501United States Agency for International Development AID-FFP-A-14-00008
6 · The paper itself

Abstract

backgroundDeforestation and land use change is widespread in Madagascar, altering local ecosystems and creating opportunities for disease vectors, such as the Anopheles mosquito, to proliferate and more easily reach vulnerable, rural populations. Knowledge of risk factors associated with malaria infections is growing globally, but these associations remain understudied across Madagascar's diverse ecosystems experiencing rapid environmental change. This study aims to uncover socioeconomic, demographic, and ecological risk factors for malaria infection across regions through analysis of a large, cross-sectional dataset.

methodsThe objectives were to assess (1) the ecological correlates of malaria vector breeding through larval surveys, and (2) the socioeconomic, demographic, and ecological risk factors for malaria infection in four ecologically distinct regions of rural Madagascar. Risk factors were determined using multilevel models for the four regions included in the study.

resultsThe presence of aquatic agriculture (both within and surrounding communities) is the strongest predictive factor of habitats containing Anopheles larvae across all regions. Ecological and socioeconomic risk factors for malaria infection vary dramatically across study regions and range in their complexity.

conclusionsRisk factors for malaria transmission differ dramatically across regions of Madagascar. These results may help stratifying current malaria control efforts in Madagascar beyond the scope of existing interventions.

Indexed as

Animal DistributionAdolescentAdultAgedAged, 80 and overAnimalsAnophelesChildChild, PreschoolCross-Sectional StudiesDemographyEcosystemFemaleHumansInfantMadagascarDisease ecologyLand use changeMalariaPlanetary healthVector-borne disease

Identifiers

PMID32993669
PMCPMC7526177
OpenAlexW3090218850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.