Evidence map›Paper›PMID 33374228›Full record

ArticleInternational journal of environmental research and public health2020

Targeting Malaria Hotspots to Reduce Transmission Incidence in Senegal.

Kankoé Sallah, Roch Giorgi, El-Hadj Ba, Martine Piarroux, Renaud Piarroux, Badara Cisse, Jean Gaudart

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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 at 3 institutions in 3 countries.

Kankoé SallahSciences Economiques et Sociales de la Santé et Traitement de de l'Information Médicale (SESSTIM), Institut de Recherche pour le Développement (IRD), Institut National de la Santé et de la Recherche médicale (INSERM), Aix Marseille Université, 13005 Marseille, France.ORCID 0000-0003-0320-604X
Roch GiorgiSciences Economiques et Sociales de la Santé et Traitement de de l'Information Médicale (SESSTIM), Institut de Recherche pour le Développement (IRD), Institut National de la Santé et de la Recherche médicale (INSERM), Aix Marseille Université, 13005 Marseille, France.
El-Hadj BaInstitut de Recherche pour le Développement (IRD), Université Cheikh Anta Diop, Vecteurs-Infections Tropicales et Méditerranéennes (VITROME), Dakar CP 18524, Senegal.
Martine PiarrouxInstitut Pierre-Louis d'Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche médicale (INSERM), AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, 75646 Paris CEDEX 13, France.
Renaud PiarrouxInstitut Pierre-Louis d'Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche médicale (INSERM), AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, 75646 Paris CEDEX 13, France.ORCID 0000-0002-4151-4134
Badara CisseInstitut de Recherche pour le Développement (IRD), Université Cheikh Anta Diop, Vecteurs-Infections Tropicales et Méditerranéennes (VITROME), Dakar CP 18524, Senegal.
Jean GaudartSciences Economiques et Sociales de la Santé et Traitement de de l'Information Médicale (SESSTIM), Institut de Recherche pour le Développement (IRD), Institut National de la Santé et de la Recherche médicale (INSERM), Aix Marseille Université, 13005 Marseille, France.ORCID 0000-0001-9006-5729
Inserm · FRInstitut de Recherche pour le Développement · SNUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In central Senegal, malaria incidence declined in response to scaling-up of control measures from 2000 to 2010 and has since remained stable, making elimination unlikely in the short term. Additional control measures are needed to reduce transmission. We simulated chemoprophylaxis interventions targeting malaria hotspots using a metapopulation mathematical model, based on a differential-equation framework and incorporating human mobility. The model was fitted to weekly malaria incidence from 45 villages. Three approaches for selecting intervention targets were compared: (a) villages with malaria cases during the low transmission season of the previous year; (b) villages with highest incidence during the high transmission season of the previous year; (c) villages with highest connectivity with adjacent populations. Our results showed that intervention strategies targeting hotspots would be effective in reducing malaria incidence in both targeted and untargeted areas. Regardless of the intervention strategy used, pre-elimination (1-5 cases per 1000 per year) would not be reached without simultaneously increasing vector control by more than 10%. A cornerstone of malaria control and elimination is the effective targeting of strategic locations. Mathematical tools help to identify those locations and estimate the impact in silico.

Indexed as

MalariaChemopreventionHumansIncidenceModels, TheoreticalSeasonsSenegalhuman mobilityintervention chemotherapymalaria eliminationmathematical model

Identifiers

PMID33374228
PMCPMC7796302
OpenAlexW3089458116

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.