Reconstructing Mayaro virus circulation in French Guiana shows frequent spillovers

Nathanaël Hozé (1) , Henrik Salje (1, 2) , Dominique Rousset (3) , Camille Fritzell (4) , Jessica Vanhomwegen (5) , Sarah Bailly (4) , Matthieu Najm (1) , Antoine Enfissi (3) , Jean-Claude Manuguerra (5) , Claude Flamand (4) , Simon Cauchemez (1)

1 Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases
2 CAM - University of Cambridge [UK]
3 CNR - laboratoire associé - Centre National de Référence pour les Arbovirus - Laboratoire de Virologie [Cayenne, Guyane française]
4 Institut Pasteur de la Guyane
5 ERI - Environnement et Risques infectieux - Environment and Infectious Risks

Characterizing the circulation of Mayaro virus (MAYV), an emerging arbovirus threat, is essential for risk assessment but challenging due to cross-reactivity with other alphaviruses such as chikungunya virus (CHIKV). Here, we develop an analytical framework to jointly assess MAYV epidemiology and the extent of cross-reactivity with CHIKV from serological data collected throughout French Guiana (N = 2697). We find strong evidence of an important sylvatic cycle for MAYV with most infections occurring near the natural reservoir in rural areas and in individuals more likely to go to the forest (i.e., adult males) and with seroprevalences of up to 18% in some areas. These findings highlight the need to strengthen MAYV surveillance in the region and showcase how modeling can improve interpretation of cross-reacting assays.

Domains: Life Sciences [q-bio]; Santé publique et épidémiologie; Life Sciences [q-bio]; Human health and pathology; Infectious diseases; Life Sciences [q-bio]; Human health and pathology; Emerging diseases; Life Sciences [q-bio]; Microbiology and Parasitology; Virology; Life Sciences [q-bio]; Biochemistry, Molecular Biology; Molecular biology

Nathanaël Hozé, Henrik Salje, Dominique Rousset, Camille Fritzell, Jessica Vanhomwegen, et al.. Reconstructing Mayaro virus circulation in French Guiana shows frequent spillovers. Nature Communications, 2020, 11 (1), pp.2842. ⟨10.1038/s41467-020-16516-x⟩. ⟨pasteur-02875125⟩