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

doi:10.1038/s41597-023-02302-z

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

Remote Sensing

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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of MAYV risk, we developed a georeferenced database of MAYV occurrence based on peer-reviewed literature and unpublished reports.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 language	English
Article number	460
Journal	Scientific Data
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41597-023-02302-z
State	Published - Dec 2023

Funding

The contents, views or opinions expressed in this publication or presentation are those of the authors and do not necessarily reflect official policy or position of Uniformed Services University of the Health Sciences, the Department of Defense (DoD), or Departments of the Army, Navy, or Air Force or the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. SP was supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, https://www.niaid.nih.gov/ , under under award AAI1026-001-00000, and the Defense Health Program, U.S. DoD, under award HU00012120067. AP was financially supported by the Armed Forces Health Surveillance Division – Global Emerging Infections Surveillance (AFHSD-GEIS) award P0065_22_WR. The activities undertaken at the Walter Reed Biosystematics Unit were performed in part under a Memorandum of Understanding between the Walter Reed Army Institute of Research (WRAIR) and the Smithsonian Institution, with institutional support provided by both organizations. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The contents, views or opinions expressed in this publication or presentation are those of the authors and do not necessarily reflect official policy or position of Uniformed Services University of the Health Sciences, the Department of Defense (DoD), or Departments of the Army, Navy, or Air Force or the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc. . Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. SP was supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, https://www.niaid.nih.gov/ , under under award AAI1026-001-00000, and the Defense Health Program, U.S. DoD, under award HU00012120067. AP was financially supported by the Armed Forces Health Surveillance Division – Global Emerging Infections Surveillance (AFHSD-GEIS) award P0065_22_WR. The activities undertaken at the Walter Reed Biosystematics Unit were performed in part under a Memorandum of Understanding between the Walter Reed Army Institute of Research (WRAIR) and the Smithsonian Institution, with institutional support provided by both organizations. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Funders	Funder number
AFHSD-GEIS
Armed Forces Health Surveillance Division
Defense Health Program
U.S. DoD	HU00012120067
U.S. Government
National Institutes of Health	AAI1026-001-00000
U.S. Department of Defense
Smithsonian Institution
National Institute of Allergy and Infectious Diseases
Henry M. Jackson Foundation
Uniformed Services University of the Health Sciences
Walter Reed Army Institute of Research

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10.1038/s41597-023-02302-z

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Celone, M., Potter, A. M., Han, B. A., Beeman, S. P., Okech, B., Forshey, B., Dunford, J., Rutherford, G., Mita-Mendoza, N. K., Estallo, E. L., Khouri, R., de Siqueira, I. C., Petersen, K., Maves, R. C., Anyamba, A., & Pollett, S. (2023). A geopositioned and evidence-graded pan-species compendium of Mayaro virus occurrence. Scientific Data, 10(1), Article 460. https://doi.org/10.1038/s41597-023-02302-z

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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.",

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

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Celone, M, Potter, AM, Han, BA, Beeman, SP, Okech, B, Forshey, B, Dunford, J, Rutherford, G, Mita-Mendoza, NK, Estallo, EL, Khouri, R, de Siqueira, IC, Petersen, K, Maves, RC, Anyamba, A & Pollett, S 2023, 'A geopositioned and evidence-graded pan-species compendium of Mayaro virus occurrence', Scientific Data, vol. 10, no. 1, 460. https://doi.org/10.1038/s41597-023-02302-z

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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

PY - 2023/12

Y1 - 2023/12

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

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