Evidence map›Paper›PMID 29391023›Full record

ArticleMalaria journal2018

Spatial and temporal dynamics of malaria in Madagascar.

Felana A Ihantamalala, Feno M J Rakotoarimanana, Tanjona Ramiadantsoa, Jean Marius Rakotondramanga, Gwenaëlle Pennober, Fanjasoa Rakotomanana, Simon Cauchemez, Charlotte J E Metcalf, Vincent Herbreteau, Amy Wesolowski

Abstract read
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. PLOS global public health · 2021
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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.

Felana A IhantamalalaEpidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Feno M J RakotoarimananaEpidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Tanjona RamiadantsoaDepartment of Integrative Biology, University of Wisconsin-Madison, Madison, WI, USA.
Jean Marius RakotondramangaEpidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Gwenaëlle PennoberUMR 228 ESPACE-DEV (IRD, UM2, UR, UAG), Saint-Pierre, Reunion, France.
Fanjasoa RakotomananaEpidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, 75015, Paris, France.
Charlotte J E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Vincent HerbreteauUMR 228 ESPACE-DEV (IRD, UM2, UR, UAG), Saint-Pierre, Reunion, France.
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. awesolowski@jhu.edu.ORCID http://orcid.org/0000-0001-6320-3575

Funding

Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI SALGANIK, MATTHEW J. · 2014 to 2018
$2.0M
NICHD NIH HHS P2C HD047879Wellcome TrustWellcome Trust 106866/Z/15/Z
6 · The paper itself

Abstract

backgroundMalaria is one of the primary health concerns in Madagascar. Based on the duration and intensity of transmission, Madagascar is divided into five epidemiological strata that range from low to mesoendemic transmission. In this study, the spatial and temporal dynamics of malaria within each epidemiological zone were studied.

methodsThe number of reported cases of uncomplicated malaria from 112 health districts between 2010 and 2014 were compiled and analysed. First, a Standardized Incidence Ratio was calculated to detect districts with anomalous incidence compared to the stratum-level incidence. Building on this, spatial and temporal malaria clusters were identified throughout the country and their variability across zones and over time was analysed.

resultsThe incidence of malaria increased from 2010 to 2014 within each stratum. A basic analysis showed that districts with more than 50 cases per 1000 inhabitants are mainly located in two strata: East and West. Lower incidence values were found in the Highlands and Fringe zones. The standardization method revealed that the number of districts with a higher than expected numbers of cases increased through time and expanded into the Highlands and Fringe zones. The cluster analysis showed that for the endemic coastal region, clusters of districts migrated southward and the incidence of malaria was the highest between January and July with some variation within strata.

conclusionThis study identified critical districts with low incidence that shifted to high incidence and district that were consistent clusters across each year. The current study provided a detailed description of changes in malaria epidemiology and can aid the national malaria programme to reduce and prevent the expansion of the disease by targeting the appropriate areas.

Indexed as

AdolescentAdultChildChild, PreschoolCluster AnalysisCohort StudiesHumansIncidenceInfantInfant, NewbornMadagascarMalaria, FalciparumSpatio-Temporal AnalysisYoung AdultMadagascarMalariaSaTScanStandardized Incidence RatioStrata

Identifiers

PMID29391023
PMCPMC5796477

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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.