Evidence map›Paper›PMID 32050663›Full record

ArticleViruses2020

Changes in the Transmission Dynamic of Chikungunya Virus in Southeastern Senegal.

Abdourahmane Sow, Birgit Nikolay, Oumar Faye, Simon Cauchemez, Jorge Cano, Mawlouth Diallo, Ousmane Faye, Bakary Sadio, Oumar Ndiaye, Scott C Weaver and 3 more

Abstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Chikungunya seroprevalence in population-based studies: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2023
    Pooled it
  2. Pooled it
  3. Article
  4. Chikungunya outbreak in eastern Senegal, 2023.BMC infectious diseases · 2026
    Article
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  6. Article
  7. Article
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  11. Review
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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

13 authors.

Abdourahmane SowInstitut Pasteur Dakar, Arbovirus and viral Hemorrhagic Fevers Unit, 12500 Dakar, Senegal.
Birgit NikolayMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, 75015 Paris, France.
Oumar FayeInstitut Pasteur Dakar, Arbovirus and viral Hemorrhagic Fevers Unit, 12500 Dakar, Senegal.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, 75015 Paris, France.
Jorge CanoFaculty of Infectious Diseases and Tropical Medicine, London School of Hygiene & Tropical Medicine, London WC1E7HT, UK.
Mawlouth DialloInstitut Pasteur Dakar, Medical entomology Unit, 12500 Dakar, Senegal.
Ousmane FayeInstitut Pasteur Dakar, Arbovirus and viral Hemorrhagic Fevers Unit, 12500 Dakar, Senegal.
Bakary SadioInstitut Pasteur Dakar, Arbovirus and viral Hemorrhagic Fevers Unit, 12500 Dakar, Senegal.
Oumar NdiayeInstitut Pasteur Dakar, Arbovirus and viral Hemorrhagic Fevers Unit, 12500 Dakar, Senegal.
Scott C WeaverInstitute for Human Infections and Immunity, World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Anta T DiaInstitut Santé et développement (ISED), Université Cheikh Anta Diop, 12500 Dakar, Senegal.
Amadou Alpha SallInstitut Pasteur Dakar, Arbovirus and viral Hemorrhagic Fevers Unit, 12500 Dakar, Senegal.
Denis MalvyInserm U1219 University of Bordeaux, 33063 Bordeaux, France.

Funding

NIH HHS AI1069145.
6 · The paper itself

Abstract

In Senegal, chikungunya virus (CHIKV) is maintained in a sylvatic cycle and causes sporadic cases or small outbreaks in rural areas. However, little is known about the influence of the environment on its transmission. To address the question, 120 villages were randomly selected in the Kedougou region of southeastern Senegal. In each selected village, 10 persons by randomly selected household were sampled and tested for specific anti-CHIKV IgG antibodies by ELISA. We investigated the association of CHIKV seroprevalence with environmental variables using logistic regression analysis and the spatial correlation of village seroprevalence based on semivariogram analysis. Fifty-four percent (51%-57%) of individuals sampled during the survey tested positive for CHIKV-specific IgG. CHIKV seroprevalence was significantly higher in populations living close to forested areas (Normalized Difference Vegetation Index (NDVI), Odds Ratio (OR) = 1.90 (1.42-2.57)), and was negatively associated with population density (OR = 0.76 (0.69-0.84)). In contrast, in gold mining sites where population density was >400 people per km

Indexed as

EnvironmentPopulation DensityAdolescentAdultAgedAged, 80 and overAge FactorsAntibodies, ViralChikungunya FeverChildChild, PreschoolFemaleForestsHumansImmunoglobulin GInfantAntibodies, ViralImmunoglobulin GChikungunyaenvironmental riskgold miningSenegalspatial autocorrelation

Identifiers

PMID32050663
PMCPMC7077306

What OpenQuestion holds

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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.