Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework
Oropouche virus (OROV) is an emerging vector-borne arbovirus with high epidemic potential, causing illness in more than 500,000 people. Primarily contracted through its midge and mosquito vectors, OROV remains prevalent in its wild, non-human primate and sloth reservoir hosts as well. This virus is...
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| Format: | Article |
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MDPI AG
2022-06-01
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| Series: | Tropical Medicine and Infectious Disease |
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| Online Access: | https://www.mdpi.com/2414-6366/7/6/111 |
| _version_ | 1797481694167564288 |
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| author | Sofia Sciancalepore Maria Cristina Schneider Jisoo Kim Deise I. Galan Ana Riviere-Cinnamond |
| author_facet | Sofia Sciancalepore Maria Cristina Schneider Jisoo Kim Deise I. Galan Ana Riviere-Cinnamond |
| author_sort | Sofia Sciancalepore |
| collection | DOAJ |
| description | Oropouche virus (OROV) is an emerging vector-borne arbovirus with high epidemic potential, causing illness in more than 500,000 people. Primarily contracted through its midge and mosquito vectors, OROV remains prevalent in its wild, non-human primate and sloth reservoir hosts as well. This virus is spreading across Latin America; however, the majority of cases occur in Brazil. The aim of this research is to document OROV’s presence in Brazil using the One Health approach and geospatial techniques. A scoping review of the literature (2000 to 2021) was conducted to collect reports of this disease in humans and animal species. Data were then geocoded by first and second subnational levels and species to map OROV’s spread. In total, 14 of 27 states reported OROV presence across 67 municipalities (second subnational level). However, most of the cases were in the northern region, within the tropical and subtropical moist broadleaf forests biome. OROV was identified in humans, four vector species, four genera of non-human primates, one sloth species, and others. Utilizing One Health was important to understand the distribution of OROV across several species and to suggest possible environmental, socioeconomic, and demographic drivers of the virus’s presence. As deforestation, climate change, and migration rates increase, further study into the spillover potential of this disease is needed. |
| first_indexed | 2024-03-09T22:18:14Z |
| format | Article |
| id | doaj.art-6f30e2fcac8e44bc925b6b40cbb64c79 |
| institution | Directory Open Access Journal |
| issn | 2414-6366 |
| language | English |
| last_indexed | 2024-03-09T22:18:14Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Tropical Medicine and Infectious Disease |
| spelling | doaj.art-6f30e2fcac8e44bc925b6b40cbb64c792023-11-23T19:18:47ZengMDPI AGTropical Medicine and Infectious Disease2414-63662022-06-017611110.3390/tropicalmed7060111Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health FrameworkSofia Sciancalepore0Maria Cristina Schneider1Jisoo Kim2Deise I. Galan3Ana Riviere-Cinnamond4Department of International Health, Georgetown University, Washington, DC 20057, USADepartment of International Health, Georgetown University, Washington, DC 20057, USAHealth Emergency Department, Pan American Health Organization (PAHO/WHO), Washington, DC 20037, USADepartment of International Health, Georgetown University, Washington, DC 20057, USAHealth Emergency Department, Pan American Health Organization (PAHO/WHO), Washington, DC 20037, USAOropouche virus (OROV) is an emerging vector-borne arbovirus with high epidemic potential, causing illness in more than 500,000 people. Primarily contracted through its midge and mosquito vectors, OROV remains prevalent in its wild, non-human primate and sloth reservoir hosts as well. This virus is spreading across Latin America; however, the majority of cases occur in Brazil. The aim of this research is to document OROV’s presence in Brazil using the One Health approach and geospatial techniques. A scoping review of the literature (2000 to 2021) was conducted to collect reports of this disease in humans and animal species. Data were then geocoded by first and second subnational levels and species to map OROV’s spread. In total, 14 of 27 states reported OROV presence across 67 municipalities (second subnational level). However, most of the cases were in the northern region, within the tropical and subtropical moist broadleaf forests biome. OROV was identified in humans, four vector species, four genera of non-human primates, one sloth species, and others. Utilizing One Health was important to understand the distribution of OROV across several species and to suggest possible environmental, socioeconomic, and demographic drivers of the virus’s presence. As deforestation, climate change, and migration rates increase, further study into the spillover potential of this disease is needed.https://www.mdpi.com/2414-6366/7/6/111Brazildisease mappingOne HealthOropouche virusrisk |
| spellingShingle | Sofia Sciancalepore Maria Cristina Schneider Jisoo Kim Deise I. Galan Ana Riviere-Cinnamond Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework Tropical Medicine and Infectious Disease Brazil disease mapping One Health Oropouche virus risk |
| title | Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework |
| title_full | Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework |
| title_fullStr | Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework |
| title_full_unstemmed | Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework |
| title_short | Presence and Multi-Species Spatial Distribution of Oropouche Virus in Brazil within the One Health Framework |
| title_sort | presence and multi species spatial distribution of oropouche virus in brazil within the one health framework |
| topic | Brazil disease mapping One Health Oropouche virus risk |
| url | https://www.mdpi.com/2414-6366/7/6/111 |
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