id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-300439-d86p43u1	Bello, Ajide Kazeem	Estimating the impacts of lockdown on Covid-19 cases in Nigeria	2020-09-06		.txt	text/plain	2216	160	57	The study established the key following findings: First, retail and recreation, grocery and pharmacy, parks, transit stations, and workplaces are statistically significant and negatively signed as relevant predictors of the virus. On the Nigerian front, studies have concentrated on the resurgence of Lassa fever amidst COVID-19 outbreak (Reuben et al., 2020) , Almajiris displacement (Akintunde 2020), comparative analysis of models and estimators (Ayinde et al., 2020) , hunger prevalence (Kalu, 2020) , online forecasting (Abdulmajeed et al., 2020) , impact on transportation (Mogaji 2020) , and economic crisis (Ozili, 2020) . This study employs a negative binomial regression to unravel the impact of lockdown on COVID-19 cases in Nigeria for at least two reasons; first, the dependent variable used is a count data that only covers discrete and nonnegative values. Table 4 presents the results of the negative binomial regression estimations of the lockdown effects on Covid-19 for Nigeria.	./cache/cord-300439-d86p43u1.txt	./txt/cord-300439-d86p43u1.txt