Evidence map›Paper›PMID 39066316›Full record

ArticleViruses2024

Hantavirus Expansion Trends in Natural Host Populations in Brazil.

José Henrique Fortes Mello, Renata L Muylaert, Carlos Eduardo Viveiros Grelle

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

3 authors.

José Henrique Fortes MelloDepartment of Ecology, Institute of Biology, Rio de Janeiro Federal University (UFRJ), Rio de Janeiro 21941-902, Brazil.ORCID 0000-0002-4289-9689
Renata L MuylaertMolecular Epidemiology and Public Health Laboratory, School of Veterinary Science-Tāwharau Ora, Massey University, Private Bag 11-222, Palmerston North 4474, New Zealand.ORCID 0000-0002-6466-6210
Carlos Eduardo Viveiros GrelleDepartment of Ecology, Institute of Biology, Rio de Janeiro Federal University (UFRJ), Rio de Janeiro 21941-902, Brazil.ORCID 0000-0002-8586-8655

Funding

National Council for Scientific and Technological Development 150093/2024-1
6 · The paper itself

Abstract

Hantaviruses are zoonotic agents responsible for causing Hantavirus Cardiopulmonary Syndrome (HCPS) in the Americas, with Brazil ranking first in number of confirmed HCPS cases in South America. In this study, we simulate the monthly spread of highly lethal hantavirus in natural hosts by conjugating a Kermack-McCormick SIR model with a cellular automata model (CA), therefore simultaneously evaluating both in-cell and between-cell infection dynamics in host populations, using recently compiled data on main host species abundances and confirmed deaths by hantavirus infection. For both host species, our models predict an increase in the area of infection, with 22 municipalities where no cases have been confirmed to date expected to have at least one case in the next decade, and a reduction in infection in 11 municipalities. Our findings support existing research and reveal new areas where hantavirus is likely to spread within recognized epicenters. Highlighting spatial-temporal trends and potential expansion, we emphasize the increased risk due to pervasive habitat fragmentation and agricultural expansion. Consistent prevention efforts and One Health actions are crucial, especially in newly identified high-risk municipalities.

Indexed as

Hantavirus InfectionsOrthohantavirusAnimalsBrazilDisease ReservoirsHantavirus Pulmonary SyndromeHumansZoonosesAndes VirusAraraquara Viruscellular automataJuquitiba VirusNecromys lasiurusOligoryzomys nigripesrodent-borne diseaseSIR model

Identifiers

PMID39066316
PMCPMC11281686

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.