Reconstructing Mayaro virus circulation in French Guiana shows frequent spillovers

Autor: Antoine Enfissi, Matthieu Najm, Sarah Bailly, Nathanaël Hozé, Dominique Rousset, Jessica Vanhomwegen, Jean-Claude Manuguerra, Camille Fritzell, Claude Flamand, Simon Cauchemez, Henrik Salje
Přispěvatelé: Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Centre National de Référence pour les Arbovirus - Laboratoire associé de Virologie [Cayenne, Guyane] (CNR), Institut Pasteur de la Guyane, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Unité d'Epidémiologie, Environnement et Risques infectieux - Environment and Infectious Risks (ERI), Institut Pasteur [Paris], This study was supported by the 'European Regional Development Fund' under EPI-ARBO grant agreement (GY0008695), the 'Regional Health Agency of French Guiana', the 'National Center of Spatial Studies'. C.Fl. and C. Fr. acknowledge funding from Calmette and Yersin allocated by the 'Pasteur Institut Department of International Affairs'. N.H. and S.C. acknowledge financial support from the AXA Research Fund, the Investissement d’Avenir program, the Laboratoire d’Excellence Integrative Biology of Emerging Infectious Diseases program (Grant ANR-10-LABX-62-IBEID), the Models of Infectious Disease Agent Study of the National Institute of General Medical Sciences, the INCEPTION project (PIA/ANR-16-CONV-0005), the European Union’s Horizon 2020 research and innovation programme under ZIKAlliance grant agreement No. 734548., We wish to thank Mirdad Kazanji (Institut Pasteur in French Guiana), Félix Djossou (Cayenne hospital center), Sandrine Fernandes-Pellerin (Institut Pasteur - CRT), and Léna Berthelot, Séverine Matheus, Laetitia Bremand, Bhety Labeau, David Moua, and Marine Rangon from the Arbovirus National Reference Center for their valuable contribution in the laboratory analyses. We thank Juliette Paireau and Quirine ten Bosch for insightful discussions., ANR-10-LABX-62-IBEID,IBEID,Laboratoire d'Excellence 'Integrative Biology of Emerging Infectious Diseases'(2010), ANR-16-CONV-0005,INCEPTION,Institut Convergences pour l’étude de l’Emergence des Pathologies au Travers des Individus et des populatiONs(2016), European Project: 734548,ZIKAlliance(2016), University of Cambridge [UK] (CAM), Centre National de Référence pour les Arbovirus - Laboratoire de Virologie [Cayenne, Guyane française] (CNR - laboratoire associé), Réseau International des Instituts Pasteur (RIIP), ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010), ANR-16-CONV-0005,INCEPTION,Institut Convergences pour l'étude de l'Emergence des Pathologies au Travers des Individus et des populatiONs(2016), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP), Hozé, Nathanaël [0000-0002-3977-8966], Salje, Henrik [0000-0003-3626-4254], Rousset, Dominique [0000-0002-1473-3147], Manuguerra, Jean-Claude [0000-0002-5202-6531], Flamand, Claude [0000-0002-8064-445X], Apollo - University of Cambridge Repository
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
0301 basic medicine
Statistical methods
Epidemiology
[SDV]Life Sciences [q-bio]
viruses
General Physics and Astronomy
Rural Health
Antibodies
Viral

medicine.disease_cause
Communicable Diseases
Emerging

Viral infection
MESH: Cross Reactions
13/1
Seroepidemiologic Studies
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases
MESH: Arboviruses
MESH: Child
MESH: Communicable Diseases
Emerging

692/308/174
Chikungunya
[MATH]Mathematics [math]
Child
MESH: Alphavirus Infections
lcsh:Science
MESH: Immunoglobulin G
[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases
Multidisciplinary
MESH: Middle Aged
article
virus diseases
Middle Aged
631/114/2415
MESH: Infant
French Guiana
3. Good health
[STAT]Statistics [stat]
Geography
MESH: Young Adult
Child
Preschool

Epidemiological Monitoring
[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology
Female
Sylvatic cycle
Chikungunya virus
Adult
Adolescent
Science
030106 microbiology
Cross Reactions
Arbovirus
General Biochemistry
Genetics and Molecular Biology

Virus
Young Adult
03 medical and health sciences
MESH: Cross-Sectional Studies
692/699/255/2514
Environmental health
MESH: French Guiana
medicine
Humans
Natural reservoir
Viral immunology
MESH: Adolescent
MESH: Seroepidemiologic Studies
MESH: Humans
Alphavirus Infections
MESH: Child
Preschool

Infant
[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Molecular biology

MESH: Adult
MESH: Chikungunya virus
General Chemistry
MESH: Rural Health
biochemical phenomena
metabolism
and nutrition

medicine.disease
MESH: Male
Cross-Sectional Studies
030104 developmental biology
Immunoglobulin G
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
lcsh:Q
MESH: Epidemiological Monitoring
MESH: Female
Arboviruses
MESH: Antibodies
Viral
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications
Nature Communications, Nature Publishing Group, 2020, 11 (1), pp.2842. ⟨10.1038/s41467-020-16516-x⟩
Nature Communications, 2020, 11 (1), pp.2842. ⟨10.1038/s41467-020-16516-x⟩
ISSN: 2041-1723
Popis: 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.
Mayaro virus (MAYV) is an emerging arbovirus, but cross-reactivity with other alphaviruses makes analysis of its epidemiology difficult. Here, the authors develop an analytical framework to assess MAYV epidemiology and find evidence for an important sylvatic cycle and seroprevalences of up to 18% in some areas of French Guiana.
Databáze: OpenAIRE