Evidence map›Paper›PMID 38063532›Full record

ArticleInternational journal of environmental research and public health2023

Effects of Climate Variability on Malaria Transmission in Southern Côte d'Ivoire, West Africa.

Madina Doumbia, Jean Tenena Coulibaly, Dieudonné Kigbafori Silué, Guéladio Cissé, Jacques-André N'Dione, Brama Koné

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
21.2field-weighted citation impact, top 1% 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

4 citing papers in PubMed, 73 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

6 authors at 4 institutions in 3 countries.

Madina DoumbiaUnité de Formation et de Recherche des Sciences Biologiques, Université Péléforo Gon Coulibaly, Korhogo BP 1328, Côte d'Ivoire.ORCID 0000-0002-8599-4360
Jean Tenena CoulibalyCentre Suisse de Recherches Scientifiques en Côte d'Ivoire (CSRS), Abidjan 01 BP 1303, Côte d'Ivoire.ORCID 0000-0002-3626-6068
Dieudonné Kigbafori SiluéCentre Suisse de Recherches Scientifiques en Côte d'Ivoire (CSRS), Abidjan 01 BP 1303, Côte d'Ivoire.ORCID 0000-0003-1003-9294
Guéladio CisséDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, CH 4002 Basel, Switzerland.ORCID 0000-0002-6286-976X
Jacques-André N'DioneCentre de Suivi Ecologique, BP 15532, Fann Résidense, Dakar 10700, Senegal.
Brama KonéUnité de Formation et de Recherche des Sciences Biologiques, Université Péléforo Gon Coulibaly, Korhogo BP 1328, Côte d'Ivoire.ORCID 0000-0001-9624-0647
Swiss Centre for Scientific Research · CIUniversité Pelefero Gon Coulibaly · CICentre de Suivi Ecologique · SNSwiss Tropical and Public Health Institute · CH

Funding

Climate Research for Development (CR4D) grants of the African Academy of Sciences
6 · The paper itself

Abstract

Malaria continues to be a major public health concern with a substantial burden in Africa. Even though it has been widely demonstrated that malaria transmission is climate-driven, there have been very few studies assessing the relationship between climate variables and malaria transmission in Côte d'Ivoire. We used the VECTRI model to predict malaria transmission in southern Côte d'Ivoire. First, we tested the suitability of VECTRI in modeling malaria transmission using ERA5 temperature data and ARC2 rainfall data. We then used the projected climatic data pertaining to 2030, 2050, and 2080 from a set of 14 simulations from the CORDEX-Africa database to compute VECTRI outputs. The entomological inoculation rate (EIR) from the VECTRI model was well correlated with the observed malaria cases from 2010 to 2019, including the peaks of malaria cases and the EIR. However, the correlation between the two parameters was not statistically significant. The VECTRI model predicted an increase in malaria transmissions in both scenarios (RCP8.5 and RCP4.5) for the time period 2030 to 2080. The monthly EIR for RCP8.5 was very high (1.74 to 1131.71 bites/person) compared to RCP4.5 (0.48 to 908 bites/person). These findings call for greater efforts to control malaria that take into account the impact of climatic factors.

Indexed as

MalariaCote d'IvoireHumansPublic HealthTemperatureclimateEIRmalariaTiassalévector densityVECTRI

Identifiers

PMID38063532
PMCPMC10706663
OpenAlexW4388939738

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.