The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling.
Mayaro virus (MAYV) is an arbovirus that is endemic to tropical forests in Central and South America, particularly within the Amazon basin. In recent years, concern has increased regarding MAYV's ability to invade urban areas and cause epidemics across the region. We conducted a systematic lite...
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oai:doaj.org-article:9051f35a91444826ad0899c1e96a375d2021-11-25T06:31:48ZThe epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling.1935-27271935-273510.1371/journal.pntd.0009418https://doaj.org/article/9051f35a91444826ad0899c1e96a375d2021-06-01T00:00:00Zhttps://doi.org/10.1371/journal.pntd.0009418https://doaj.org/toc/1935-2727https://doaj.org/toc/1935-2735Mayaro virus (MAYV) is an arbovirus that is endemic to tropical forests in Central and South America, particularly within the Amazon basin. In recent years, concern has increased regarding MAYV's ability to invade urban areas and cause epidemics across the region. We conducted a systematic literature review to characterise the evolutionary history of MAYV, its transmission potential, and exposure patterns to the virus. We analysed data from the literature on MAYV infection to produce estimates of key epidemiological parameters, including the generation time and the basic reproduction number, R0. We also estimated the force-of-infection (FOI) in epidemic and endemic settings. Seventy-six publications met our inclusion criteria. Evidence of MAYV infection in humans, animals, or vectors was reported in 14 Latin American countries. Nine countries reported evidence of acute infection in humans confirmed by viral isolation or reverse transcription-PCR (RT-PCR). We identified at least five MAYV outbreaks. Seroprevalence from population based cross-sectional studies ranged from 21% to 72%. The estimated mean generation time of MAYV was 15.2 days (95% CrI: 11.7-19.8) with a standard deviation of 6.3 days (95% CrI: 4.2-9.5). The per-capita risk of MAYV infection (FOI) ranged between 0.01 and 0.05 per year. The mean R0 estimates ranged between 2.1 and 2.9 in the Amazon basin areas and between 1.1 and 1.3 in the regions outside of the Amazon basin. Although MAYV has been identified in urban vectors, there is not yet evidence of sustained urban transmission. MAYV's enzootic cycle could become established in forested areas within cities similar to yellow fever virus.Edgar-Yaset CaicedoKelly CharnigaAmanecer RuedaIlaria DorigattiYardany MendezArran HamletJean-Paul CarreraZulma M CucunubáPublic Library of Science (PLoS)articleArctic medicine. Tropical medicineRC955-962Public aspects of medicineRA1-1270ENPLoS Neglected Tropical Diseases, Vol 15, Iss 6, p e0009418 (2021) |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Edgar-Yaset Caicedo Kelly Charniga Amanecer Rueda Ilaria Dorigatti Yardany Mendez Arran Hamlet Jean-Paul Carrera Zulma M Cucunubá The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. |
description |
Mayaro virus (MAYV) is an arbovirus that is endemic to tropical forests in Central and South America, particularly within the Amazon basin. In recent years, concern has increased regarding MAYV's ability to invade urban areas and cause epidemics across the region. We conducted a systematic literature review to characterise the evolutionary history of MAYV, its transmission potential, and exposure patterns to the virus. We analysed data from the literature on MAYV infection to produce estimates of key epidemiological parameters, including the generation time and the basic reproduction number, R0. We also estimated the force-of-infection (FOI) in epidemic and endemic settings. Seventy-six publications met our inclusion criteria. Evidence of MAYV infection in humans, animals, or vectors was reported in 14 Latin American countries. Nine countries reported evidence of acute infection in humans confirmed by viral isolation or reverse transcription-PCR (RT-PCR). We identified at least five MAYV outbreaks. Seroprevalence from population based cross-sectional studies ranged from 21% to 72%. The estimated mean generation time of MAYV was 15.2 days (95% CrI: 11.7-19.8) with a standard deviation of 6.3 days (95% CrI: 4.2-9.5). The per-capita risk of MAYV infection (FOI) ranged between 0.01 and 0.05 per year. The mean R0 estimates ranged between 2.1 and 2.9 in the Amazon basin areas and between 1.1 and 1.3 in the regions outside of the Amazon basin. Although MAYV has been identified in urban vectors, there is not yet evidence of sustained urban transmission. MAYV's enzootic cycle could become established in forested areas within cities similar to yellow fever virus. |
format |
article |
author |
Edgar-Yaset Caicedo Kelly Charniga Amanecer Rueda Ilaria Dorigatti Yardany Mendez Arran Hamlet Jean-Paul Carrera Zulma M Cucunubá |
author_facet |
Edgar-Yaset Caicedo Kelly Charniga Amanecer Rueda Ilaria Dorigatti Yardany Mendez Arran Hamlet Jean-Paul Carrera Zulma M Cucunubá |
author_sort |
Edgar-Yaset Caicedo |
title |
The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. |
title_short |
The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. |
title_full |
The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. |
title_fullStr |
The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. |
title_full_unstemmed |
The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. |
title_sort |
epidemiology of mayaro virus in the americas: a systematic review and key parameter estimates for outbreak modelling. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/9051f35a91444826ad0899c1e96a375d |
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