Evidence map›Paper›PMID 31683644›Full record

ArticleViruses2019

Spatiotemporal Dynamics of Hantavirus Cardiopulmonary Syndrome Transmission Risk in Brazil.

Renata L Muylaert, Gilberto Sabino-Santos, Paula R Prist, Júlia E F Oshima, Bernardo Brandão Niebuhr, Thadeu Sobral-Souza, Stefan Vilges de Oliveira, Ricardo Siqueira Bovendorp, Jonathan C Marshall, David T S Hayman and 1 more

Abstract read
In one paragraph

Article in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Effect ofMicroorganisms · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Evaluating climate-dependent distribution of orthohantaviruses with monitoring wild rodents: One Health PerspectiveBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  10. Article
  11. Article
  12. Mathematical Model of the Spread of Hantavirus Infection.Pathogens (Basel, Switzerland) · 2023
    Article
  13. Malaria Risk Drivers in the Brazilian Amazon: Land Use-Land Cover Interactions and Biological Diversity.International journal of environmental research and public health · 2023
    Article
  14. Review
  15. Land-use change and rodent-borne diseases: hazards on the shared socioeconomic pathways.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    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

11 authors.

Renata L MuylaertDepartment of Ecology, Institute of Biosciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil. renatamuy@gmail.com.ORCID 0000-0002-6466-6210
Gilberto Sabino-SantosCenter for Virology Research, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes 3900, Vila Monte Alegre, Ribeirão Preto 14049-900, Brazil. sabinogsj@gmail.com.ORCID 0000-0002-5462-5386
Paula R PristDepartment of Ecology, Biosciences Institute, University of São Paulo, São Paulo 05508-900, Brazil. pprist@hotmail.com.ORCID 0000-0003-2809-0434
Júlia E F OshimaDepartment of Ecology, Institute of Biosciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil. juemioshima@gmail.com.ORCID 0000-0003-1545-768X
Bernardo Brandão NiebuhrDepartment of Ecology, Institute of Biosciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil. bernardo_brandaum@yahoo.com.br.
Thadeu Sobral-SouzaDepartment of Botany and Ecology, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, Brazil. thadeusobral@gmail.com.ORCID 0000-0002-2367-2315
Stefan Vilges de OliveiraDepartamento de Saúde Coletiva da Faculdade de Medicina, Universidade Federal de Uberlândia, Avenida Pará, 1720, Campus Umuarama, Uberlândia 38405-320, Brazil. stefanbio@yahoo.com.br.
Ricardo Siqueira BovendorpDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil. siqueira.sal@gmail.com.
Jonathan C MarshallMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Private Bag 11-222, Palmerston North 4474, New Zealand. J.C.marshall@massey.ac.nz.ORCID 0000-0003-0758-9658
David T S HaymanMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Private Bag 11-222, Palmerston North 4474, New Zealand. D.T.S.Hayman@massey.ac.nz.ORCID 0000-0003-0087-3015
Milton Cezar RibeiroDepartment of Ecology, Institute of Biosciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil. miltinho.astronauta@gmail.com.ORCID 0000-0002-4312-202X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHantavirus disease in humans is rare but frequently lethal in the Neotropics. Several abundant and widely distributed Sigmodontinae rodents are the primary hosts of

methodsLandscape variables (native forest, forestry, sugarcane, maize and pasture), climate (temperature and precipitation), and host biodiversity (derived through niche models) were used in spatiotemporal models, using the 5570 Brazilian municipalities as units of analysis.

resultsAmounts of native forest and sugarcane, combined with temperature, were the most important factors influencing the increase of disease risk. Population at risk (rural workers) and rodent host diversity also had a positive effect on disease risk.

conclusionsLand use change-especially the conversion of native areas to sugarcane fields-can have a significant impact on hantavirus disease risk, likely by promoting the interaction between the people and the infected rodents. Our results demonstrate the importance of understanding the interactions between landscape change, rodent diversity, and hantavirus disease incidence, and suggest that land use policy should consider disease risk. Meanwhile, our risk map can be used to help allocate preventive measures to avoid disease.

Indexed as

Spatio-Temporal AnalysisAnimalsBrazilClimateCommunicable Diseases, EmergingDisease ReservoirsEcosystemFarmersHantavirus InfectionsHantavirus Pulmonary SyndromeHumansOrthohantavirusPublic HealthRodentiaZoonosesapproximate Bayesian inferenceemerging diseasesintegrated nested Laplace approximationsland use changelatent Gaussian modelspolygon-based analysispublic healthzero inflation

Identifiers

PMID31683644
PMCPMC6893581

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.