Predicting current and future distributions of Malagasy bats: Implications for management of coronavirus spillover.

Riana V Ramanantsalama, David A Wilkinson, Renata L Muylaert, Steven M Goodman, Camille Lebarbenchon

Abstract read

In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Riana V RamanantsalamaUMR Processus Infectieux en Milieu Insulaire Tropical (PIMIT), Université de La Réunion, Inserm 1187, CNRS 9192, IRD 249, 97490 Saint-Denis de La Réunion, France.

David A WilkinsonUMR Processus Infectieux en Milieu Insulaire Tropical (PIMIT), Université de La Réunion, Inserm 1187, CNRS 9192, IRD 249, 97490 Saint-Denis de La Réunion, France.

Renata L MuylaertSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, 2050 New South Wales, Australia.

Steven M GoodmanField Museum of Natural History, Chicago 60605, USA.

Camille LebarbenchonUMR Processus Infectieux en Milieu Insulaire Tropical (PIMIT), Université de La Réunion, Inserm 1187, CNRS 9192, IRD 249, 97490 Saint-Denis de La Réunion, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global environmental change is known to be an important factor for the emergence of infectious diseases. Habitat modification of wild animal hosts favor pathogen spillover, particularly in degraded tropical ecosystems. We predicted the distribution of seven of eight bat families on Madagascar in response to climate change and urbanization, based on ecological niche modeling. We found major restructuring of bat-suitable habitats with a large-scale reduction in habitat suitability across all coastal regions of the northern half of the island for all bat families except Molossidae. Indeed, molossid bats follow the anticipated pattern of human population growth and underlines the need for a precise assessment of spillover potential of their associated alpha-coronaviruses.

Indexed as

Global changeMadagascarModelingMolossidaePopulation density

Identifiers

PMID40687596

DOI10.1016/j.onehlt.2025.101122

PMCPMC12271592

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LicenceCC BY-NC

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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.