Your browser doesn't support javascript.
Ecosystem degradation and the spread of Covid-19.
Castelli, Chiara; Castellini, Marta; Comincioli, Nicola; Parisi, Maria Laura; Pontarollo, Nicola; Vergalli, Sergio.
  • Castelli C; The Vienna Institute for International Economic Studies, Vienna, Austria.
  • Castellini M; Department of Economics and Management "Marco Fanno", University of Padua, Padua, Italy.
  • Comincioli N; Fondazione Eni Enrico Mattei, Milan, Italy.
  • Parisi ML; Fondazione Eni Enrico Mattei, Milan, Italy.
  • Pontarollo N; Department of Economics and Management, University of Brescia, Brescia, Italy.
  • Vergalli S; Department of Economics and Management, University of Brescia, Brescia, Italy.
Environ Monit Assess ; 195(7): 836, 2023 Jun 13.
Artículo en Inglés | MEDLINE | ID: covidwho-20233864
ABSTRACT
The linkages between the emergence of zoonotic diseases and ecosystem degradation have been widely acknowledged by the scientific community and policy makers. In this paper we investigate the relationship between human overexploitation of natural resources, represented by the Human Appropriation of Net Primary Production Index (HANPP) and the spread of Covid-19 cases during the first pandemic wave in 730 regions of 63 countries worldwide. Using a Bayesian estimation technique, we highlight the significant role of HANPP as a driver of Covid-19 diffusion, besides confirming the well-known impact of population size and the effects of other socio-economic variables. We believe that these findings could be relevant for policy makers in their effort towards a more sustainable intensive agriculture and responsible urbanisation.
Asunto(s)
Palabras clave

Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Environ Monit Assess Asunto de la revista: Salud Ambiental Año: 2023 Tipo del documento: Artículo País de afiliación: S10661-023-11403-6

Similares

MEDLINE

...
LILACS

LIS


Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Environ Monit Assess Asunto de la revista: Salud Ambiental Año: 2023 Tipo del documento: Artículo País de afiliación: S10661-023-11403-6