Evidence map›Paper›PMID 36029356›Full record

ArticleEcoHealth2022

Environmental Drivers of Monkeypox Transmission in the Democratic Republic of the Congo.

Bien-Aimé Mandja, Pascal Handschumacher, Didier Bompangue, Jean-Paul Gonzalez, Jean-Jacques Muyembe, Erik-André Sauleau, Frédéric Mauny

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in EcoHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Bien-Aimé MandjaDépartement des Sciences de Base, Service d'Écologie et Contrôle des Maladies Infectieuses, Faculté de Médecine, Université de Kinshasa, Quartier Lemba, BP 834 KIN XI, Kinshasa, Democratic Republic of the Congo. mmandja@gmail.com.ORCID 0000-0003-3846-5746
Pascal HandschumacherUMR 912 SESSTIM, INSERM, IRD, U2, Université d'Aix Marseille, Strasbourg, France.
Didier BompangueDépartement des Sciences de Base, Service d'Écologie et Contrôle des Maladies Infectieuses, Faculté de Médecine, Université de Kinshasa, Quartier Lemba, BP 834 KIN XI, Kinshasa, Democratic Republic of the Congo.
Jean-Paul GonzalezDepartment of Microbiology and Immunology, Division of Biomedical Graduate Research Organization, Georgetown University School of Medicine, 4000 Reservoir Road, Washington, DC, 20057, USA.
Jean-Jacques MuyembeDépartement des Sciences de Base, Service d'Écologie et Contrôle des Maladies Infectieuses, Faculté de Médecine, Université de Kinshasa, Quartier Lemba, BP 834 KIN XI, Kinshasa, Democratic Republic of the Congo.
Erik-André SauleauLaboratoire de Biostatistique et Informatique Médicale, Faculté de Médecine, Laboratoire ICube UMR CNRS 7357, Université de Strasbourg, Strasbourg, France.
Frédéric MaunyLaboratoire Chrono-Environnement, UMR 6249 CNRS, Université de Bourgogne Franche-Comté, Besançon, France.
Centre National de la Recherche Scientifique · FRGeorgetown University · USInserm · FRUniversity of Kinshasa · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monkeypox (MPX) is an emergent severe zoonotic disease resembling that of smallpox. To date, most cases of human MPX have been reported in the Democratic Republic of the Congo (DRC). While the number of cases has increased steadily in the DRC over the last 30 years, the environmental risk factors that drive the spatiotemporal dynamics of MPX transmission remain poorly understood. This study aimed to investigate the spatiotemporal associations between environmental risk factors and annual MPX incidence in the DRC. All MPX cases reported weekly at the health zone level over a 16-year period (2000-2015) were analyzed. A Bayesian hierarchical generalized linear mixed model was conducted to identify the spatiotemporal associations between annual MPX incidence and three types of environmental risk factors illustrating environment as a system resulting from physical, social and cultural interactions Primary forest (IRR 1.034 [1.029-1.040]), economic well-being (IRR 1.038 [1.031-1.047]), and temperature (IRR 1.143 [1.028-1.261]) were positively associated with annual MPX incidence. Our study shows that physical environmental risk factors alone cannot explain the emergence of MPX outbreaks in the DRC. Economic level and cultural practices participate from environment as a whole and thus, must be considered to understand exposure to MPX risk Future studies should examine the impact of these factors in greater detail.

Indexed as

Mpox, MonkeypoxAnimalsBayes TheoremDemocratic Republic of the CongoHumansMonkeypox virusZoonosesBayesian modelDemocratic Republic of the Congoemerging infectious diseaseenvironmental risk factorsmonkeypox

Identifiers

PMID36029356
OpenAlexW4293354632

What OpenQuestion holds

Textmetadata
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.