DOI: 10.5061/dryad.cfxpnvx8n
title: A geopositioned, evidence-graded, pan-species compendium of Mayaro Virus occurrence

description: 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 literature and unpublished reports.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. In the associated data
 descriptor manuscript (https://doi.org/10.1038/s41597-023-02302-z), 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.
description: Georeferenced Database of Mayaro virus occurrence
 A database containing georeferenced locations of Mayaro virus
 occurrence in humans, non-human animals, and arthropods.
 File name:
 <em>Georefs_MAYV_compendium.csv</em>
 Quality Scores and References A table
 containing quality scores and references for each article included in our
 systematic review of human MAYV occurrence. Quality scores are based on a
 customized grading system of four quality items: clarity of research
 question/objective; description of study methods; description of sampling
 methods; and validity of diagnostic tests. File name:
 <em>Quality_scores_MAYV_compendium.docx</em>
 Duplicate entries A database containing
 duplicate Mayaro virus georeferences that were excluded from the primary
 database. File name:
 <em>Duplicate_entries_MAYV_compendium.csv</em>
 Shapefiles for custom polygon locations A
 zip folder containing a shapefile with custom polygon locations. Each
 polygon is associated with an entry in the georeferenced dataset. These
 files can be opened in GIS software or using statistical packages that
 handle spatial data (e.g., the sf package in R). File
 name: <em>Custom_polys_MAYV_compendium.zip</em>
description: # A geopositioned, evidence-graded, pan-species compendium of Mayaro Virus
 occurrence # This dataset
 accompanies a Data Descriptor manuscript that was submitted to the
 Scientific Data journal. Data are derived from a systematic review of the
 literature focused on Mayaro virus (MAYV) occurrence. ## Dataset
 Attribution and Usage * Dataset Title: Data for the article "A
 geopositioned and evidence-graded pan-species compendium of Mayaro Virus
 occurrence" * Persistent Identifier:
 * Dataset Contributors:
 Michael Celone, Alex 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 ##
 Contact Information * Name: Michael Celone * Affiliations: Uniformed
 Services University of the Health Sciences * ORCID ID: 0000-0002-1963-2353
 * Email: * Alternate Email:
 --- ## Description of the Data
 \========================== ## Details for File 1:
 Georefs\_MAYV\_compendium * Description: A database containing
 georeferenced locations of MAYV occurrence. * Format(s): .csv * Variables:
 * Location_ID: Unique identifier assigned to each georeference. *
 Author_Year: First author and publication year for each record. *
 Ref_Number: Reference identification number. * Year_MAYV_Start: Earliest
 year that MAYV infection was detected. * Year_MAYV_End: Latest year that
 MAYV infection was detected. * Host_Type: Host type for each occurrence:
 human, non-human animal, or arthropod. * Location_Description: Relevant
 information/decisions related to the location of the occurrence record. *
 Adm0: Country where MAYV occurrence was detected. * Adm1: First level
 administrative unit where MAYV occurrence was detected (if available). *
 Adm2: Second level administrative unit where MAYV occurrence was detected
 (if available). * GAUL_code: When a MAYV occurrence was georeferenced as
 an ADM1 or ADM2 administrative polygon, the GAUL code was included. *
 Finer_Res: If finer spatial resolution was documented (e.g., a town, city,
 or exact coordinates) this was recorded. * Location_Type: Point or polygon
 location type, depending on the spatial resolution that was provided. *
 Admin_Level: Administrative level for each polygon location or -999 was
 used for point/custom polygon locations. * X_Coord: Longitude coordinate
 was recorded in decimal degrees. * Y_Coord: Latitude coordinate was
 recorded in decimal degrees. * Coord_Source: This field describes how the
 coordinates were determined. * Uncertainty_km: The amount of uncertainty
 associated with the record, measured in km. * Uncertainty_Description: The
 method used to calculate uncertainty for each georeference. *
 Diagnostic_Type: The diagnostic test reported (e.g., polymerase chain
 reaction [PCR], neutralization test [NT]). * Positive_n: The number of
 positive MAYV cases that were reported. * Denominator: The total number of
 humans, non-human animals, or arthropod pools in the study. * Language:
 The language of the article, either English, Portuguese, or Spanish. ##
 Details for File 2: Quality\_scores\_MAYV\_compendium * Description: A
 table containing quality scores and references for each included article.
 We evaluated and graded each study on four quality criteria. For each
 quality criterion, eligible studies were assigned a quality score of 3
 (strong evidence), 2 (moderate evidence), 1 (weak evidence), or unable to
 judge. * Format(s): .docx * Variables: * Clarity of research
 question/objective. * Description of study methods. * Description of
 sampling methods. * Validity of diagnostic tests. ## File 3:
 Duplicate\_entries\_MAYV\_compendium * Description: A database containing
 duplicate MAYV georeferences that were excluded from the primary database
 * Format(s): .csv * Variables: * Location_ID: Unique identifier assigned
 to each georeference. * Author_Year: First author and publication year for
 each record. * Ref_Number: Reference identification number. *
 Year_MAYV_Start: Earliest year that MAYV infection was detected. *
 Year_MAYV_End: Latest year that MAYV infection was detected. * Host_Type:
 Host type for each occurrence: human, non-human animal, or arthropod. *
 Adm0: Country where MAYV occurrence was detected. * Adm1: First level
 administrative unit where MAYV occurrence was detected (if available). *
 Adm2: Second level administrative unit where MAYV occurrence was detected
 (if available). * Finer_Res: If finer spatial resolution was documented
 (e.g., a town, city, or exact coordinates) this was recorded. *
 Location_Type: Point or polygon location type, depending on the spatial
 resolution that was provided. * Admin_Level: Administrative level for each
 polygon location or -999 was for point locations. * X_Coord: Longitude
 coordinate was recorded in decimal degrees. * Y_Coord: Latitude coordinate
 was recorded in decimal degrees. ## File 4:
 Custom\_polys\_MAYV\_compendium * Description: A zip folder with custom
 polygon locations. The folder contains shapefiles that can be opened in
 GIS software or statistical packages that handle spatial data. Each
 polygon is associated with an entry in the Georefs_MAYV_compendium
 dataset.