id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-338143-2v4lrlcl	Pana, T. A.	Number of International Arrivals Predicts Severity of the first Global Wave of the COVID-19 Pandemic	2020-05-16		.txt	text/plain	3482	222	51	Potential predictors assessed were most recently published Demographic parameters (population and population density, percentage population living in urban areas, median age, average body mass index, smoking prevalence), Economic parameters (Gross Domestic Product per capita; environmental parameters: pollution levels, mean temperature (January-April)), co-morbidities (prevalence of diabetes, hypertension and cancer), health systems parameters (WHO Health Index and hospital beds per 10,000 population and international arrivals). The following predictors were used: demographic predictors (population and population density, percentage population living in urban areas, median age, average body mass index (BMI), smoking prevalence), economic predictors (gross Domestic Product (GDP) per capita), environmental predictors (pollution levels, mean temperature (January-April) [2010] [2011] [2012] [2013] [2014] [2015] [2016] ), prevalent co-morbidities (diabetes, hypertension and cancer), health systems predictors (WHO Health Index and hospital beds per 10, 000 population) and international arrivals, as a proxy measure of the globalisation status of each country.	./cache/cord-338143-2v4lrlcl.txt	./txt/cord-338143-2v4lrlcl.txt