Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data
| Autor: | Uusitalo, Ruut, Siljander, Mika, Culverwell, C. Lorna, Hendrickx, Guy, Lindén, Andreas, Dub, Timothée, Aalto, Juha, Sane, Jussi, Marsboom, Cedric, Suvanto, Maija T., Vajda, Andrea, Gregow, Hilppa, Korhonen, Essi M., Huhtamo, Eili, Pellikka, Petri, Vapalahti, Olli |
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| Přispěvatelé: | Department of Geosciences and Geography, Department of Virology, Veterinary Biosciences, Medicum, Earth Change Observation Laboratory (ECHOLAB), HUSLAB, Viral Zoonosis Research Unit, BioGeoClimate Modelling Lab, Helsinki One Health (HOH), Helsinki Institute of Sustainability Science (HELSUS), Veterinary Microbiology and Epidemiology, Olli Pekka Vapalahti / Principal Investigator |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
NORTHERN
TRANSMISSION MOSQUITOS UNCERTAINTY Mosquito Vectors vector-borne disease WEST-NILE-VIRUS Pogosta disease DISEASE Article South Africa Aedes EPIDEMIOLOGY Animals predictive mapping Finland mosquitoes 11832 Microbiology and virology OCKELBO VIRUS Alphavirus Infections 3142 Public health care science environmental and occupational health disease modelling Europe CULEX-PIPIENS Medicine TORRENTIUM Sindbis virus infection Sindbis Virus |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 18, Iss 7064, p 7064 (2021) Volume 18 Issue 13 |
| ISSN: | 1660-4601 1661-7827 |
| Popis: | Pogosta disease is a mosquito-borne infection, caused by Sindbis virus (SINV), which causes epidemics of febrile rash and arthritis in Northern Europe and South Africa. Resident grouse and migratory birds play a significant role as amplifying hosts and various mosquito species, including Aedes cinereus, Culex pipiens, Cx. torrentium and Culiseta morsitans are documented vectors. As specific treatments are not available for SINV infections, and joint symptoms may persist, the public health burden is considerable in endemic areas. To predict the environmental suitability for SINV infections in Finland, we applied a suite of geospatial and statistical modeling techniques to disease occurrence data. Using an ensemble approach, we first produced environmental suitability maps for potential SINV vectors in Finland. These suitability maps were then combined with grouse densities and environmental data to identify the influential determinants for SINV infections and to predict the risk of Pogosta disease in Finnish municipalities. Our predictions suggest that both the environmental suitability for vectors and the high risk of Pogosta disease are focused in geographically restricted areas. This provides evidence that the presence of both SINV vector species and grouse densities can predict the occurrence of the disease. The results support material for public-health officials when determining area-specific recommendations and deliver information to health care personnel to raise awareness of the disease among physicians. |
| Databáze: | OpenAIRE |
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