Satellite data are widely used to study the spatial component of epidemics: to monitor their evolution, to create epidemiological risk maps and predictive models. The improvement of data quality, not only in technical terms but also of scientific relevance and robustness, represents in this context one of the most important aspects for health information technology that can make further significant and useful progress in monitoring and managing epidemics. In this regard, this paper intends to address an issue that is not always adequately considered in the use of satellite data for the creation of maps and spatial models of epidemics, namely the preliminary verification of the level of spatial correlation between remote sensing environmental variables and epidemics. Specifically, we intend to evaluate the contribution of exposure to the pollutant nitrogen dioxide (NO2) on the spatial spread of the virus and the severity of the current COVID infection.

Satellite Data and Epidemic Cartography: A Study of the Relationship Between the Concentration of NO2 and the COVID-19 Epidemic / Pignocchino, Gianmarco; Pezzoli, Alessandro; Besana, Angelo. - 1507:(2022), pp. 55-67. (Intervento presentato al convegno ASITA Academy 2021 - Geomatica: il passato futuro tenutosi a On-line nel 1-2,9,16,23 luglio 2021) [10.1007/978-3-030-94426-1_5].

Satellite Data and Epidemic Cartography: A Study of the Relationship Between the Concentration of NO2 and the COVID-19 Epidemic

Besana, Angelo
2022-01-01

Abstract

Satellite data are widely used to study the spatial component of epidemics: to monitor their evolution, to create epidemiological risk maps and predictive models. The improvement of data quality, not only in technical terms but also of scientific relevance and robustness, represents in this context one of the most important aspects for health information technology that can make further significant and useful progress in monitoring and managing epidemics. In this regard, this paper intends to address an issue that is not always adequately considered in the use of satellite data for the creation of maps and spatial models of epidemics, namely the preliminary verification of the level of spatial correlation between remote sensing environmental variables and epidemics. Specifically, we intend to evaluate the contribution of exposure to the pollutant nitrogen dioxide (NO2) on the spatial spread of the virus and the severity of the current COVID infection.
2022
Geomatics and Geospatial Technologies: 24th Italian Conference, ASITA 2021, Genoa, Italy, July 1-2, 9, 16, 23, 2021, Proceedings
Heidelberg; New York; Berlin
Springer Nature Switzerland AG
978-3-030-94425-4
978-3-030-94426-1
Pignocchino, Gianmarco; Pezzoli, Alessandro; Besana, Angelo
Satellite Data and Epidemic Cartography: A Study of the Relationship Between the Concentration of NO2 and the COVID-19 Epidemic / Pignocchino, Gianmarco; Pezzoli, Alessandro; Besana, Angelo. - 1507:(2022), pp. 55-67. (Intervento presentato al convegno ASITA Academy 2021 - Geomatica: il passato futuro tenutosi a On-line nel 1-2,9,16,23 luglio 2021) [10.1007/978-3-030-94426-1_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/328590
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