TY - JOUR
T1 - A geopositioned and evidence-graded pan-species compendium of Mayaro virus occurrence
AU - Celone, Michael
AU - Potter, Alexander M.
AU - Han, Barbara A.
AU - Beeman, Sean P.
AU - Okech, Bernard
AU - Forshey, Brett
AU - Dunford, James
AU - Rutherford, George
AU - Mita-Mendoza, Neida K.
AU - Estallo, Elizabet Lilia
AU - Khouri, Ricardo
AU - de Siqueira, Isadora Cristina
AU - Petersen, Kyle
AU - Maves, Ryan C.
AU - Anyamba, Assaf
AU - Pollett, Simon
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - Mayaro Virus (MAYV) is an emerging health threat in the Americas that can cause febrile illness as well as debilitating arthralgia or arthritis. To better understand the geographic distribution of MAYV risk, we developed a georeferenced database of MAYV occurrence based on peer-reviewed literature and unpublished reports. Here we present this compendium, which includes both point and polygon locations linked to occurrence data documented from its discovery in 1954 until 2022. We describe all methods used to develop the database including data collection, georeferencing, management and quality-control. We also describe a customized grading system used to assess the quality of each study included in our review. The result is a comprehensive, evidence-graded database of confirmed MAYV occurrence in humans, non-human animals, and arthropods to-date, containing 262 geo-positioned occurrences in total. This database - which can be updated over time - may be useful for local spill-over risk assessment, epidemiological modelling to understand key transmission dynamics and drivers of MAYV spread, as well as identification of major surveillance gaps.
AB - Mayaro Virus (MAYV) is an emerging health threat in the Americas that can cause febrile illness as well as debilitating arthralgia or arthritis. To better understand the geographic distribution of MAYV risk, we developed a georeferenced database of MAYV occurrence based on peer-reviewed literature and unpublished reports. Here we present this compendium, which includes both point and polygon locations linked to occurrence data documented from its discovery in 1954 until 2022. We describe all methods used to develop the database including data collection, georeferencing, management and quality-control. We also describe a customized grading system used to assess the quality of each study included in our review. The result is a comprehensive, evidence-graded database of confirmed MAYV occurrence in humans, non-human animals, and arthropods to-date, containing 262 geo-positioned occurrences in total. This database - which can be updated over time - may be useful for local spill-over risk assessment, epidemiological modelling to understand key transmission dynamics and drivers of MAYV spread, as well as identification of major surveillance gaps.
UR - http://www.scopus.com/inward/record.url?scp=85164756855&partnerID=8YFLogxK
U2 - 10.1038/s41597-023-02302-z
DO - 10.1038/s41597-023-02302-z
M3 - Article
C2 - 37452060
AN - SCOPUS:85164756855
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 460
ER -