ArticleZoonoses and public health2019
Viral networks and detection of potential zoonotic viruses in bats and rodents: A worldwide analysis.
Article in Zoonoses and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Key Factors That Enable the Pandemic Potential of RNA Viruses and Inter-Species Transmission: A Systematic Review.Viruses · 2021Pooled it
- Targeting Zoonotic Spillover Drivers for Global Pandemic Prevention: A Narrative Review.Microorganisms · 2026Review
- Bat Rhabdoviruses: occurrence, detection and challenges in Africa.Tropical animal health and production · 2025Review
- Article
- Building a pathway to One Health surveillance and response in Asian countries.Science in One Health · 2024Review
- Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset.Scientific data · 2023Article
- CRISPR‑based diagnostic approaches: Implications for rapid management of future pandemics (Review).Molecular medicine reports · 2023Review
- NovelViruses · 2023Article
- Functional traits shape small mammal-helminth network: patterns and processes in species interactions.Parasitology · 2021Article
- Niche theory-based modeling of assembly processes of viral communities in bats.Ecology and evolution · 2021Article
- Detect and destroy: CRISPR-based technologies for the response against viruses.Cell host & microbe · 2021Review
- High Diversity and Novel Enteric Viruses in Fecal Viromes of Healthy Wild and Captive Thai Cynomolgus Macaques (Viruses · 2019Article
- Viral networks and detection of potential zoonotic viruses in bats and rodents: A worldwide analysis.Zoonoses and public health · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bats and rodents are recognized to host a great diversity of viruses and several important viral zoonoses, but how this viral diversity is structured and how viruses are connected, shared and distributed among host networks is not well understood. To address this gap in knowledge, we compared the associative capacity of the host-virus networks in rodents and bats with the identification of those viruses with zoonotic potential. A virus database, detected by molecular methods, was constructed in the two taxonomic groups. We compiled 5,484 records: 825 in rodents and 4,659 in bats. We identified a total of 173 and 166 viruses, of which 53 and 40 are zoonotic viruses, in rodents and bats, respectively. Based on a network theory, a non-directed bipartite host-virus network was built for each group. Subsequently, the networks were collapsed to represent the connections among hosts and viruses. We identified both discrete and connected communities. We observed a greater degree of connectivity in bat viruses and more discrete communities in rodents. The Coronaviridae recorded in bats have the highest values of degree, betweenness and closeness centralities. In rodents, higher degree positions were distributed homogeneously between viruses and hosts. At least in our database, a higher proportion of rodent viruses were zoonotic. Rodents should thus not be underestimated as important reservoirs of zoonotic disease. We found that viruses were more frequently shared among bats than in rodents. Network theory can reveal some macroecological patterns and identify risks that were previously unrecognized. For example, we found that parvovirus in megabats and Gbagroube virus in rodents may represent a zoonotic risk due to the proximity to humans and other zoonotic viruses. We propose that epidemiological surveillance programmes should consider the connectivity of network actors as a measure of the risks of dispersion and transmission.
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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.