Evidence map›Paper›PMID 24040344›Full record

ArticlePloS one2013

Mapping monkeypox transmission risk through time and space in the Congo Basin.

Yoshinori Nakazawa, R Ryan Lash, Darin S Carroll, Inger K Damon, Kevin L Karem, Mary G Reynolds, Jorge E Osorio, Tonie E Rocke, Jean M Malekani, Jean-Jacques Muyembe and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  18. Evaluation of the GeneXpert for Human Monkeypox Diagnosis.The American journal of tropical medicine and hygiene · 2017
    Article
  19. Article
  20. Low-incidence, high-consequence pathogens.Emerging infectious diseases · 2014
    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

12 authors at 8 institutions in 3 countries.

Yoshinori NakazawaCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America ; Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, United States of America.
R Ryan Lash
Darin S Carroll
Inger K Damon
Kevin L Karem
Mary G Reynolds
Jorge E Osorio
Tonie E Rocke
Jean M Malekani
Jean-Jacques Muyembe
Pierre Formenty
A Townsend Peterson
Centers for Disease Control and Prevention · USNational Institute of Biomedical Research · CDNational Wildlife Health Center · USOak Ridge Institute for Science and EducationUniversity of Kansas · USUniversity of Kinshasa · CDUniversity of Wisconsin–Madison · USWorld Health Organization · CH

Funding

Sylvatic Reservoirs of Human MonkeypoxR01TW008859 · FIC · UNIVERSITY OF WISCONSIN-MADISON · PI OSORIO, JORGE E · 2010 to 2013
$2.0M
FIC NIH HHS 1R01TW008859-01FIC NIH HHS R01 TW008859
6 · The paper itself

Abstract

Monkeypox is a major public health concern in the Congo Basin area, with changing patterns of human case occurrences reported in recent years. Whether this trend results from better surveillance and detection methods, reduced proportions of vaccinated vs. non-vaccinated human populations, or changing environmental conditions remains unclear. Our objective is to examine potential correlations between environment and transmission of monkeypox events in the Congo Basin. We created ecological niche models based on human cases reported in the Congo Basin by the World Health Organization at the end of the smallpox eradication campaign, in relation to remotely-sensed Normalized Difference Vegetation Index datasets from the same time period. These models predicted independent spatial subsets of monkeypox occurrences with high confidence; models were then projected onto parallel environmental datasets for the 2000s to create present-day monkeypox suitability maps. Recent trends in human monkeypox infection are associated with broad environmental changes across the Congo Basin. Our results demonstrate that ecological niche models provide useful tools for identification of areas suitable for transmission, even for poorly-known diseases like monkeypox.

Indexed as

Geographic MappingModels, BiologicalAlgorithmsAnimalsArea Under CurveCameroonCentral African RepublicCongoDemocratic Republic of the CongoEnvironmentEpidemiological MonitoringGabonGeographic Information SystemsGeographyHumansMacaca fascicularis

Identifiers

PMID24040344
PMCPMC3764067
OpenAlexW1973103563

What OpenQuestion holds

Textmetadata
LicenceCC0
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.