Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak?

V. Andreo, J.C.M. Metz, M. Neteler, R. Rosà, M. Marcantonio, C. Billinis, A. Rizzoli, Anne-Laure Papa

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Temperature is one of the main drivers of ecological processes. The availability of temporally and spatially continuous temperature time series is crucial in different research and application fields, such as epidemiology and control of zoonotic diseases. In 2010, several West Nile virus (WNV) outbreaks in humans were observed in Europe, with the largest number of cases recorded in Greece. Human cases continued to occur for four more years. The occurrence of the 2010's outbreak in Greece has been related to positive anomalies in temperature. Currently available remote sensing time series might provide the temporal and spatial coverage needed to assess this kind of hypothesis. However, the main problem with remotely sensed temperature are the gaps caused by cloud cover. With the objective of testing the former hypothesis, we reconstructed daily MODIS Land Surface Temperature (LST) data and derived several indices that are known or hypothesized to be related to mosquito populations, WNV transmission or risk of disease since they might constitute proxies for favoring or limiting conditions. We present the first results of the comparisons of time series of LST-derived indices among locations with WNV human cases and municipalities with and without reported WNV infection in Greece between 2010 and 2014.

Original languageEnglish
Title of host publicationISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages19-25
Number of pages7
Volume42
DOIs
Publication statusPublished - 5 Jul 2017

Publication series

NameISPRS Archives
VolumeXLII-4/W2

Fingerprint

West Nile virus
Viruses
Greece
time series
land surface
surface temperature
Disease
Time series
temperature
epidemiology
Temperature
municipality
mosquito
coverage
driver
cloud cover
MODIS
Epidemiology
remote sensing
anomaly

Keywords

  • GRASS GIS
  • Greece
  • Land surface temperature
  • MODIS
  • Time series analysis
  • West nile virus outbreaks

Cite this

Andreo, V., Metz, J. C. M., Neteler, M., Rosà, R., Marcantonio, M., Billinis, C., ... Papa, A-L. (2017). Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak? In ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France (Vol. 42, pp. 19-25). (ISPRS Archives; Vol. XLII-4/W2). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLII-4-W2-19-2017
Andreo, V. ; Metz, J.C.M. ; Neteler, M. ; Rosà, R. ; Marcantonio, M. ; Billinis, C. ; Rizzoli, A. ; Papa, Anne-Laure. / Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak?. ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France. Vol. 42 International Society for Photogrammetry and Remote Sensing (ISPRS), 2017. pp. 19-25 (ISPRS Archives).
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title = "Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak?",
abstract = "Temperature is one of the main drivers of ecological processes. The availability of temporally and spatially continuous temperature time series is crucial in different research and application fields, such as epidemiology and control of zoonotic diseases. In 2010, several West Nile virus (WNV) outbreaks in humans were observed in Europe, with the largest number of cases recorded in Greece. Human cases continued to occur for four more years. The occurrence of the 2010's outbreak in Greece has been related to positive anomalies in temperature. Currently available remote sensing time series might provide the temporal and spatial coverage needed to assess this kind of hypothesis. However, the main problem with remotely sensed temperature are the gaps caused by cloud cover. With the objective of testing the former hypothesis, we reconstructed daily MODIS Land Surface Temperature (LST) data and derived several indices that are known or hypothesized to be related to mosquito populations, WNV transmission or risk of disease since they might constitute proxies for favoring or limiting conditions. We present the first results of the comparisons of time series of LST-derived indices among locations with WNV human cases and municipalities with and without reported WNV infection in Greece between 2010 and 2014.",
keywords = "GRASS GIS, Greece, Land surface temperature, MODIS, Time series analysis, West nile virus outbreaks",
author = "V. Andreo and J.C.M. Metz and M. Neteler and R. Ros{\`a} and M. Marcantonio and C. Billinis and A. Rizzoli and Anne-Laure Papa",
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Andreo, V, Metz, JCM, Neteler, M, Rosà, R, Marcantonio, M, Billinis, C, Rizzoli, A & Papa, A-L 2017, Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak? in ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France. vol. 42, ISPRS Archives, vol. XLII-4/W2, International Society for Photogrammetry and Remote Sensing (ISPRS), pp. 19-25. https://doi.org/10.5194/isprs-archives-XLII-4-W2-19-2017

Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak? / Andreo, V.; Metz, J.C.M.; Neteler, M.; Rosà, R.; Marcantonio, M.; Billinis, C.; Rizzoli, A.; Papa, Anne-Laure.

ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France. Vol. 42 International Society for Photogrammetry and Remote Sensing (ISPRS), 2017. p. 19-25 (ISPRS Archives; Vol. XLII-4/W2).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AU - Rosà, R.

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AU - Billinis, C.

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AU - Papa, Anne-Laure

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N2 - Temperature is one of the main drivers of ecological processes. The availability of temporally and spatially continuous temperature time series is crucial in different research and application fields, such as epidemiology and control of zoonotic diseases. In 2010, several West Nile virus (WNV) outbreaks in humans were observed in Europe, with the largest number of cases recorded in Greece. Human cases continued to occur for four more years. The occurrence of the 2010's outbreak in Greece has been related to positive anomalies in temperature. Currently available remote sensing time series might provide the temporal and spatial coverage needed to assess this kind of hypothesis. However, the main problem with remotely sensed temperature are the gaps caused by cloud cover. With the objective of testing the former hypothesis, we reconstructed daily MODIS Land Surface Temperature (LST) data and derived several indices that are known or hypothesized to be related to mosquito populations, WNV transmission or risk of disease since they might constitute proxies for favoring or limiting conditions. We present the first results of the comparisons of time series of LST-derived indices among locations with WNV human cases and municipalities with and without reported WNV infection in Greece between 2010 and 2014.

AB - Temperature is one of the main drivers of ecological processes. The availability of temporally and spatially continuous temperature time series is crucial in different research and application fields, such as epidemiology and control of zoonotic diseases. In 2010, several West Nile virus (WNV) outbreaks in humans were observed in Europe, with the largest number of cases recorded in Greece. Human cases continued to occur for four more years. The occurrence of the 2010's outbreak in Greece has been related to positive anomalies in temperature. Currently available remote sensing time series might provide the temporal and spatial coverage needed to assess this kind of hypothesis. However, the main problem with remotely sensed temperature are the gaps caused by cloud cover. With the objective of testing the former hypothesis, we reconstructed daily MODIS Land Surface Temperature (LST) data and derived several indices that are known or hypothesized to be related to mosquito populations, WNV transmission or risk of disease since they might constitute proxies for favoring or limiting conditions. We present the first results of the comparisons of time series of LST-derived indices among locations with WNV human cases and municipalities with and without reported WNV infection in Greece between 2010 and 2014.

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BT - ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France

PB - International Society for Photogrammetry and Remote Sensing (ISPRS)

ER -

Andreo V, Metz JCM, Neteler M, Rosà R, Marcantonio M, Billinis C et al. Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak? In ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France. Vol. 42. International Society for Photogrammetry and Remote Sensing (ISPRS). 2017. p. 19-25. (ISPRS Archives). https://doi.org/10.5194/isprs-archives-XLII-4-W2-19-2017