Evidence map›Paper›PMID 31707994›Full record

ArticleMalaria journal2019

Modelled and observed mean and seasonal relationships between climate, population density and malaria indicators in Cameroon.

Amelie D Mbouna, Adrian M Tompkins, Andre Lenouo, Ernest O Asare, Edmund I Yamba, Clement Tchawoua

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. 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
2.7field-weighted citation impact, top 10% 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, 31 citations in OpenAlex.

  1. Article
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  6. Article
  7. Effects of Climate Variability on Malaria Transmission in Southern Côte d'Ivoire, West Africa.International journal of environmental research and public health · 2023
    Article
  8. Article
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  10. Article
  11. Distribution and Risk Factors of Malaria in the Greater Accra Region in Ghana.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Larval flushing alters malaria endemicity patterns in regions with similar habitat abundance.Current research in parasitology & vector-borne diseases · 2022
    Article
  14. Article
  15. Article
  16. 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 5 institutions in 4 countries.

Amelie D MbounaLaboratory for Environmental Modelling and Atmospheric Physics (LEMAP), Department of Physics, Faculty of Science, University of Yaoundé́ I, Yaoundé, Cameroon. ameldany18@gmail.com.ORCID http://orcid.org/0000-0001-9267-6179
Adrian M TompkinsEarth System Physics, Abdus Salam International Centre for Theoretical Physics (ICTP), Strada Costiera 11, Trieste, Italy.
Andre LenouoDepartment of Physics, Faculty of Science, University of Douala, Douala, Cameroon.
Ernest O AsareDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, USA.
Edmund I YambaDepartment of Physics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Clement TchawouaLaboratory for Environmental Modelling and Atmospheric Physics (LEMAP), Department of Physics, Faculty of Science, University of Yaoundé́ I, Yaoundé, Cameroon.
The Abdus Salam International Centre for Theoretical Physics (ICTP) · ITKwame Nkrumah University of Science and Technology · GHUniversité de Yaoundé I · CMUniversity of Douala · CMYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA major health burden in Cameroon is malaria, a disease that is sensitive to climate, environment and socio-economic conditions, but whose precise relationship with these drivers is still uncertain. An improved understanding of the relationship between the disease and its drivers, and the ability to represent these relationships in dynamic disease models, would allow such models to contribute to health mitigation and adaptation planning. This work collects surveys of malaria parasite ratio and entomological inoculation rate and examines their relationship with temperature, rainfall, population density in Cameroon and uses this analysis to evaluate a climate sensitive mathematical model of malaria transmission.

methodsCo-located, climate and population data is compared to the results of 103 surveys of parasite ratio (PR) covering 18,011 people in Cameroon. A limited set of campaigns which collected year-long field-surveys of the entomological inoculation rate (EIR) are examined to determine the seasonality of disease transmission, three of the study locations are close to the Sanaga and Mefou rivers while others are not close to any permanent water feature. Climate-driven simulations of the VECTRI malaria model are evaluated with this analysis.

resultsThe analysis of the model results shows the PR peaking at temperatures of approximately 22 °C to 26 °C, in line with recent work that has suggested a cooler peak temperature relative to the established literature, and at precipitation rates at 7 mm day

conclusionMalaria prevalence is maximum at temperatures of 24 to 26 °C in Cameroon and rainfall rates of approximately 4 to 6 mm day

Indexed as

ClimatePopulation DensityRainTemperatureCameroonHumansMalariaModels, TheoreticalPrevalenceCameroonClimateEntomological inoculation rateMalariaParasite ratio

Identifiers

PMID31707994
PMCPMC6842545
OpenAlexW2987845547

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.