Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data

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 <i<Ae...
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Autor*in:	Ruut Uusitalo [verfasserIn] Mika Siljander [verfasserIn] C. Lorna Culverwell [verfasserIn] Guy Hendrickx [verfasserIn] Andreas Lindén [verfasserIn] Timothée Dub [verfasserIn] Juha Aalto [verfasserIn] Jussi Sane [verfasserIn] Cedric Marsboom [verfasserIn] Maija T. Suvanto [verfasserIn] Andrea Vajda [verfasserIn] Hilppa Gregow [verfasserIn] Essi M. Korhonen [verfasserIn] Eili Huhtamo [verfasserIn] Petri Pellikka [verfasserIn] Olli Vapalahti [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling

Übergeordnetes Werk:	In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 18(2021), 7064, p 7064
Übergeordnetes Werk:	volume:18 ; year:2021 ; number:7064, p 7064

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3390/ijerph18137064

Katalog-ID:	DOAJ006264700

Internformat


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allfields	10.3390/ijerph18137064 doi (DE-627)DOAJ006264700 (DE-599)DOAJ7a63bef09f074d55828265b4aa8f0708 DE-627 ger DE-627 rakwb eng Ruut Uusitalo verfasserin aut Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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. Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling Medicine R Mika Siljander verfasserin aut C. Lorna Culverwell verfasserin aut Guy Hendrickx verfasserin aut Andreas Lindén verfasserin aut Timothée Dub verfasserin aut Juha Aalto verfasserin aut Jussi Sane verfasserin aut Cedric Marsboom verfasserin aut Maija T. Suvanto verfasserin aut Andrea Vajda verfasserin aut Hilppa Gregow verfasserin aut Essi M. Korhonen verfasserin aut Eili Huhtamo verfasserin aut Petri Pellikka verfasserin aut Olli Vapalahti verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 7064, p 7064 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:7064, p 7064 https://doi.org/10.3390/ijerph18137064 kostenfrei https://doaj.org/article/7a63bef09f074d55828265b4aa8f0708 kostenfrei https://www.mdpi.com/1660-4601/18/13/7064 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 7064, p 7064
spelling	10.3390/ijerph18137064 doi (DE-627)DOAJ006264700 (DE-599)DOAJ7a63bef09f074d55828265b4aa8f0708 DE-627 ger DE-627 rakwb eng Ruut Uusitalo verfasserin aut Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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. Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling Medicine R Mika Siljander verfasserin aut C. Lorna Culverwell verfasserin aut Guy Hendrickx verfasserin aut Andreas Lindén verfasserin aut Timothée Dub verfasserin aut Juha Aalto verfasserin aut Jussi Sane verfasserin aut Cedric Marsboom verfasserin aut Maija T. Suvanto verfasserin aut Andrea Vajda verfasserin aut Hilppa Gregow verfasserin aut Essi M. Korhonen verfasserin aut Eili Huhtamo verfasserin aut Petri Pellikka verfasserin aut Olli Vapalahti verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 7064, p 7064 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:7064, p 7064 https://doi.org/10.3390/ijerph18137064 kostenfrei https://doaj.org/article/7a63bef09f074d55828265b4aa8f0708 kostenfrei https://www.mdpi.com/1660-4601/18/13/7064 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 7064, p 7064
allfields_unstemmed	10.3390/ijerph18137064 doi (DE-627)DOAJ006264700 (DE-599)DOAJ7a63bef09f074d55828265b4aa8f0708 DE-627 ger DE-627 rakwb eng Ruut Uusitalo verfasserin aut Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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. Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling Medicine R Mika Siljander verfasserin aut C. Lorna Culverwell verfasserin aut Guy Hendrickx verfasserin aut Andreas Lindén verfasserin aut Timothée Dub verfasserin aut Juha Aalto verfasserin aut Jussi Sane verfasserin aut Cedric Marsboom verfasserin aut Maija T. Suvanto verfasserin aut Andrea Vajda verfasserin aut Hilppa Gregow verfasserin aut Essi M. Korhonen verfasserin aut Eili Huhtamo verfasserin aut Petri Pellikka verfasserin aut Olli Vapalahti verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 7064, p 7064 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:7064, p 7064 https://doi.org/10.3390/ijerph18137064 kostenfrei https://doaj.org/article/7a63bef09f074d55828265b4aa8f0708 kostenfrei https://www.mdpi.com/1660-4601/18/13/7064 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 7064, p 7064
allfieldsGer	10.3390/ijerph18137064 doi (DE-627)DOAJ006264700 (DE-599)DOAJ7a63bef09f074d55828265b4aa8f0708 DE-627 ger DE-627 rakwb eng Ruut Uusitalo verfasserin aut Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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. Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling Medicine R Mika Siljander verfasserin aut C. Lorna Culverwell verfasserin aut Guy Hendrickx verfasserin aut Andreas Lindén verfasserin aut Timothée Dub verfasserin aut Juha Aalto verfasserin aut Jussi Sane verfasserin aut Cedric Marsboom verfasserin aut Maija T. Suvanto verfasserin aut Andrea Vajda verfasserin aut Hilppa Gregow verfasserin aut Essi M. Korhonen verfasserin aut Eili Huhtamo verfasserin aut Petri Pellikka verfasserin aut Olli Vapalahti verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 7064, p 7064 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:7064, p 7064 https://doi.org/10.3390/ijerph18137064 kostenfrei https://doaj.org/article/7a63bef09f074d55828265b4aa8f0708 kostenfrei https://www.mdpi.com/1660-4601/18/13/7064 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 7064, p 7064
allfieldsSound	10.3390/ijerph18137064 doi (DE-627)DOAJ006264700 (DE-599)DOAJ7a63bef09f074d55828265b4aa8f0708 DE-627 ger DE-627 rakwb eng Ruut Uusitalo verfasserin aut Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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. Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling Medicine R Mika Siljander verfasserin aut C. Lorna Culverwell verfasserin aut Guy Hendrickx verfasserin aut Andreas Lindén verfasserin aut Timothée Dub verfasserin aut Juha Aalto verfasserin aut Jussi Sane verfasserin aut Cedric Marsboom verfasserin aut Maija T. Suvanto verfasserin aut Andrea Vajda verfasserin aut Hilppa Gregow verfasserin aut Essi M. Korhonen verfasserin aut Eili Huhtamo verfasserin aut Petri Pellikka verfasserin aut Olli Vapalahti verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 7064, p 7064 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:7064, p 7064 https://doi.org/10.3390/ijerph18137064 kostenfrei https://doaj.org/article/7a63bef09f074d55828265b4aa8f0708 kostenfrei https://www.mdpi.com/1660-4601/18/13/7064 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 7064, p 7064
language	English
source	In International Journal of Environmental Research and Public Health 18(2021), 7064, p 7064 volume:18 year:2021 number:7064, p 7064
sourceStr	In International Journal of Environmental Research and Public Health 18(2021), 7064, p 7064 volume:18 year:2021 number:7064, p 7064
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling Medicine R
isfreeaccess_bool	true
container_title	International Journal of Environmental Research and Public Health
authorswithroles_txt_mv	Ruut Uusitalo @@aut@@ Mika Siljander @@aut@@ C. Lorna Culverwell @@aut@@ Guy Hendrickx @@aut@@ Andreas Lindén @@aut@@ Timothée Dub @@aut@@ Juha Aalto @@aut@@ Jussi Sane @@aut@@ Cedric Marsboom @@aut@@ Maija T. Suvanto @@aut@@ Andrea Vajda @@aut@@ Hilppa Gregow @@aut@@ Essi M. Korhonen @@aut@@ Eili Huhtamo @@aut@@ Petri Pellikka @@aut@@ Olli Vapalahti @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	477992463
id	DOAJ006264700
language_de	englisch
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author	Ruut Uusitalo
spellingShingle	Ruut Uusitalo misc Pogosta disease misc vector-borne disease misc Sindbis virus infection misc mosquitoes misc predictive mapping misc disease modelling misc Medicine misc R Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data
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topic_title	Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data Pogosta disease vector-borne disease Sindbis virus infection mosquitoes predictive mapping disease modelling
topic	misc Pogosta disease misc vector-borne disease misc Sindbis virus infection misc mosquitoes misc predictive mapping misc disease modelling misc Medicine misc R
topic_unstemmed	misc Pogosta disease misc vector-borne disease misc Sindbis virus infection misc mosquitoes misc predictive mapping misc disease modelling misc Medicine misc R
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title	Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data
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title_full	Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data
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author_browse	Ruut Uusitalo Mika Siljander C. Lorna Culverwell Guy Hendrickx Andreas Lindén Timothée Dub Juha Aalto Jussi Sane Cedric Marsboom Maija T. Suvanto Andrea Vajda Hilppa Gregow Essi M. Korhonen Eili Huhtamo Petri Pellikka Olli Vapalahti
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title_sort	predicting spatial patterns of sindbis virus (sinv) infection risk in finland using vector, host and environmental data
title_auth	Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data
abstract	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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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.
abstractGer	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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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.
abstract_unstemmed	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 <i<Aedes cinereus</i<, <i<Culex pipiens</i<, <i<Cx. torrentium</i< and <i<Culiseta morsitans</i< 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.
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