Modeling potential risk areas of Orthohantavirus transmission in Northwestern Argentina using an ecological niche approach
Background Hantavirus Pulmonary Syndrome (HPS) is a rodent-borne zoonosis in the Americas, with up to 50% mortality rates. In Argentina, the Northwestern endemic area presents half of the annually notifed HPS cases in the country, transmitted by at least three rodent species recognized as reservoirs...
- Autores:
-
Rodrigo López, Walter
Altamiranda Saavedra, Mariano Augusto
Kehl, Sebastián D.
Ferro, Luis Ignacio
Bellomo, Carla María
Martínez, Valeria Paula
Simoy, Mario Ignacio
Gil, José Fernando
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Tecnológico de Antioquia
- Repositorio:
- Repositorio Tdea
- Idioma:
- eng
- OAI Identifier:
- oai:dspace.tdea.edu.co:tdea/3829
- Acceso en línea:
- https://dspace.tdea.edu.co/handle/tdea/3829
- Palabra clave:
- Calomys
Oligoryzomys
Orthohantavirus
Mapa de Riesgo
Risk Map
Mapa de Risco
Carte de Risque
Síndrome Pulmonar por Hantavirus
Hantavirus Pulmonary Syndrome
Syndrome pulmonaire à hantavirus
Zoonosis
Zoonoses
Reservorios de Enfermedades
Disease Reservoirs
Reservatórios de Doenças
Réservoirs de maladies
Ecological Niche Modeling
Northwestern Argentina
Noroeste Argentina
Modelado de nicho ecológico
Reservoirs
Réservoir
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/
Summary: | Background Hantavirus Pulmonary Syndrome (HPS) is a rodent-borne zoonosis in the Americas, with up to 50% mortality rates. In Argentina, the Northwestern endemic area presents half of the annually notifed HPS cases in the country, transmitted by at least three rodent species recognized as reservoirs of Orthohantavirus. The potential distribution of reservoir species based on ecological niche models (ENM) can be a useful tool to establish risk areas for zoonotic diseases. Our main aim was to generate an Orthohantavirus risk transmission map based on ENM of the res‑ ervoir species in northwest Argentina (NWA), to compare this map with the distribution of HPS cases; and to explore the possible efect of climatic and environmental variables on the spatial variation of the infection risk. Methods Using the reservoir geographic occurrence data, climatic/environmental variables, and the maximum entropy method, we created models of potential geographic distribution for each reservoir in NWA. We explored the overlap of the HPS cases with the reservoir-based risk map and a deforestation map. Then, we calculated the human population at risk using a census radius layer and a comparison of the environmental variables’ latitudinal variation with the distribution of HPS risk. Results We obtained a single best model for each reservoir. The temperature, rainfall, and vegetation cover contrib‑ uted the most to the models. In total, 945 HPS cases were recorded, of which 97,85% were in the highest risk areas. We estimated that 18% of the NWA population was at risk and 78% of the cases occurred less than 10 km from deforesta‑ tion. The highest niche overlap was between Calomys fecundus and Oligoryzomys chacoensis. Conclusions This study identifes potential risk areas for HPS transmission based on climatic and environmental fac‑ tors that determine the distribution of the reservoirs and Orthohantavirus transmission in NWA. This can be used by public health authorities as a tool to generate preventive and control measures for HPS in NWA. Keywords Orthohantavirus, Ecological Niche Modeling, Risk map, Reservoirs, Oligoryzomys, Calomys, Northwestern Argentina |
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