Evidence map›Paper›PMID 35927679›Full record

ArticleParasites & vectors2022

Sub-national tailoring of seasonal malaria chemoprevention in Mali based on malaria surveillance and rainfall data.

Mady Cissoko, Issaka Sagara, Jordi Landier, Abdoulaye Guindo, Vincent Sanogo, Oumou Yacouba Coulibaly, Pascal Dembélé, Sokhna Dieng, Cedric S Bationo, Issa Diarra and 6 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 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

16 authors.

Mady CissokoMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali. mady.cissoko@etu.univ-amu.fr.ORCID http://orcid.org/0000-0002-0200-8191
Issaka SagaraMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali.
Jordi LandierINSERM, IRD, ISSPAM, UM1252, Aix-Marseille University, 13005, Marseille, France.
Abdoulaye GuindoMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali.
Vincent SanogoProgramme National de Lutte contre le Paludisme (PNLP Mali), 233, Bamako, Mali.
Oumou Yacouba CoulibalyDirection Générale de la Santé et Hygiène Publique, Sous-Direction Lutte Contre la Maladie (DGSHP-SDLM), 233, Bamako, Mali.
Pascal DembéléProgramme National de Lutte contre le Paludisme (PNLP Mali), 233, Bamako, Mali.
Sokhna DiengINSERM, IRD, ISSPAM, UM1252, Aix-Marseille University, 13005, Marseille, France.
Cedric S Bationo
Issa DiarraMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali.
Mahamadou H MagassaProgramme National de Lutte contre le Paludisme (PNLP Mali), 233, Bamako, Mali.
Ibrahima BerthéMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali.
Abdoulaye KatiléMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali.
Diahara TraoréProgramme National de Lutte contre le Paludisme (PNLP Mali), 233, Bamako, Mali.
Nadine DessayESPACE-DEV, UMR228, IRD/UM/UR/UG/UA, Institut de Recherche Pour le Développement (IRD) France, 34093, Montpellier, France.
Jean GaudartMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université Des Sciences, Des Techniques Et Des Technologies de Bamako, 1805, Bamako, Mali.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn malaria endemic countries, seasonal malaria chemoprevention (SMC) interventions are performed during the high malaria transmission in accordance with epidemiological surveillance data. In this study we propose a predictive approach for tailoring the timing and number of cycles of SMC in all health districts of Mali based on sub-national epidemiological surveillance and rainfall data. Our primary objective was to select the best of two approaches for predicting the onset of the high transmission season at the operational scale. Our secondary objective was to evaluate the number of malaria cases, hospitalisations and deaths in children under 5 years of age that would be prevented annually and the additional cost that would be incurred using the best approach.

methodsFor each of the 75 health districts of Mali over the study period (2014-2019), we determined (1) the onset of the rainy season period based on weekly rainfall data; (ii) the onset and duration of the high transmission season using change point analysis of weekly incidence data; and (iii) the lag between the onset of the rainy season and the onset of the high transmission. Two approaches for predicting the onset of the high transmission season in 2019 were evaluated.

resultsIn the study period (2014-2019), the onset of the rainy season ranged from week (W) 17 (W17; April) to W34 (August). The onset of the high transmission season ranged from W25 (June) to W40 (September). The lag between these two events ranged from 5 to 12 weeks. The duration of the high transmission season ranged from 3 to 6 months. The best of the two approaches predicted the onset of the high transmission season in 2019 to be in June in two districts, in July in 46 districts, in August in 21 districts and in September in six districts. Using our proposed approach would prevent 43,819 cases, 1943 hospitalisations and 70 deaths in children under 5 years of age annually for a minimal additional cost. Our analysis shows that the number of cycles of SMC should be changed in 36 health districts.

conclusionAdapting the timing of SMC interventions using our proposed approach could improve the prevention of malaria cases and decrease hospitalisations and deaths. Future studies should be conducted to validate this approach.

Indexed as

AntimalarialsMalariaChemopreventionChildChild, PreschoolHumansInfantMaliSeasonsAntimalarialsHigh transmission seasonMalariaRainfallSub-nationalTailoring

Identifiers

PMID35927679
PMCPMC9351140

What OpenQuestion holds

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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.