Publications des scientifiques de l'IRD

Nieto-Rabiela F., Esponda F., Roche Benjamin, Suzan G. (2023). Network analysis of hosts and vectors in the multiple transmissions of Flavivirus. Vector-Borne and Zoonotic Diseases, [Early access], p. [ p.]. ISSN 1530-3667.

Titre du document
Network analysis of hosts and vectors in the multiple transmissions of Flavivirus
Année de publication
2023
Type de document
Article référencé dans le Web of Science WOS:001047865600001
Auteurs
Nieto-Rabiela F., Esponda F., Roche Benjamin, Suzan G.
Source
Vector-Borne and Zoonotic Diseases, 2023, [Early access], p. [ p.] ISSN 1530-3667
Background: It is well established that infection patterns in nature can be driven by host, vector, and symbiont communities. One of the first stages in understanding how these complex systems have influenced the incidence of vector-borne diseases is to recognize what are the major vertebrate (i.e., hosts) and invertebrate (i.e., vectors) host species that propagate those microbes. Such identification opens the possibility to identify such essential species to develop targeted preventive efforts.Methods: The goal of this study, which relies on a compilation of a global database based on published literature, is to identify relevant host species in the global transmission of mosquito-borne flaviviruses, such as West Nile virus, St. Louis virus, Dengue virus, and Zika virus, which pose a concern to animal and public health.Results: The analysis of the resulting database involving 1174 vertebrate host species and 46 reported vector species allowed us to establish association networks between these species. Three host species (Mus musculus, Sapajus flavius, Sapajus libidinosus, etc.) have a much larger centrality values, suggesting that they play a key role in flavivirus community interactions.Conclusion: The methods used and the species detected as relevant in the network provide new knowledge and consistency that could aid health officials in rethinking prevention and control strategies with a focus on viral communities and their interactions. Other infectious diseases that harm animal and human health could benefit from such network techniques.
Plan de classement
Sciences du milieu [021] ; Santé : généralités [050] ; Entomologie médicale / Parasitologie / Virologie [052]
Identifiant IRD
PAR00026549
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