A geopositioned and evidence-graded pan-species compendium of Mayaro virus occurrence

Michael Celone*, Alexander M. Potter, Barbara A. Han, Sean P. Beeman, Bernard Okech, Brett Forshey, James Dunford, George Rutherford, Neida K. Mita-Mendoza, Elizabet Lilia Estallo, Ricardo Khouri, Isadora Cristina de Siqueira, Kyle Petersen, Ryan C. Maves, Assaf Anyamba, Simon Pollett*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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of MAYV risk, we developed a georeferenced database of MAYV occurrence based on peer-reviewed literature and unpublished reports.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.

Original languageEnglish
Article number460
JournalScientific Data
Volume10
Issue number1
DOIs
StatePublished - Dec 2023
Externally publishedYes

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