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6 results on '"Francesco D'Antonio"'

2. Structural equation modeling to shed light on the controversial role of climate on the spread of SARS-CoV-2

Author

Michele Caputo, Aldo Ummarino, Alessia Spada, Gabriele Maccione, Vincenzo Troiano, Francesco Antonio Tucci, Giorgio Gambacorta, Raffaele Ianzano, Nicola Fascia, Nicholas Calà, Chiara Forte, Paolo Pio Ciavarella, Giuseppina Prencipe, Antonio Tucci, Michele Tomaiuolo, Silvia Corbo, and Marco de Biase

Subjects
2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Epidemiology, Science, Climate, Rain, Path diagram, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 010501 environmental sciences, 01 natural sciences, Population density, Article, Structural equation modeling, 03 medical and health sciences, 0302 clinical medicine, Path coefficient, Statistics, Prevalence, Humans, 030212 general & internal medicine, Precipitation, 0105 earth and related environmental sciences, Population Density, Respiratory tract diseases, Multidisciplinary, SARS-CoV-2, Temperature, COVID-19, Humidity, Models, Theoretical, Atmospheric Pressure, Geography, Medicine
Abstract

Climate seems to influence the spread of SARS-CoV-2, but the findings of the studies performed so far are conflicting. To overcome these issues, we performed a global scale study considering 134,871 virologic-climatic-demographic data (209 countries, first 16 weeks of the pandemic). To analyze the relation among COVID-19, population density, and climate, a theoretical path diagram was hypothesized and tested using structural equation modeling (SEM), a powerful statistical technique for the evaluation of causal assumptions. The results of the analysis showed that both climate and population density significantly influence the spread of COVID-19 (p

Published
2021

6. Structural equation modeling to shed light on the controversial role of climate on the spread of SARS-CoV-2

Author

Alessia Spada, Francesco Antonio Tucci, Aldo Ummarino, Paolo Pio Ciavarella, Nicholas Calà, Vincenzo Troiano, Michele Caputo, Raffaele Ianzano, Silvia Corbo, Marco de Biase, Nicola Fascia, Chiara Forte, Giorgio Gambacorta, Gabriele Maccione, Giuseppina Prencipe, Michele Tomaiuolo, and Antonio Tucci

Subjects
Medicine, Science
Abstract

Abstract Climate seems to influence the spread of SARS-CoV-2, but the findings of the studies performed so far are conflicting. To overcome these issues, we performed a global scale study considering 134,871 virologic-climatic-demographic data (209 countries, first 16 weeks of the pandemic). To analyze the relation among COVID-19, population density, and climate, a theoretical path diagram was hypothesized and tested using structural equation modeling (SEM), a powerful statistical technique for the evaluation of causal assumptions. The results of the analysis showed that both climate and population density significantly influence the spread of COVID-19 (p

Published
2021
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