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Estimating the impacts of lockdown on Covid-19 cases in Nigeria
The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered. The empirical evidence is anchored on the ne...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474887/ https://www.ncbi.nlm.nih.gov/pubmed/34173470 http://dx.doi.org/10.1016/j.trip.2020.100217 |
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author | Ajide, Kazeem Bello Ibrahim, Ridwan Lanre Alimi, Olorunfemi Yasiru |
author_facet | Ajide, Kazeem Bello Ibrahim, Ridwan Lanre Alimi, Olorunfemi Yasiru |
author_sort | Ajide, Kazeem Bello |
collection | PubMed |
description | The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered. The empirical evidence is anchored on the negative binomial regression estimator, due to the count nature of the dataset on the daily cases of the virus. 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. Second, the impact of residential is positive and statistically significant at the conventional level. Lastly, the results are robust to an alternative estimator of Poisson Regression. The emanated policy message centres on the need to direct efforts toward ensuring total compliance to the lockdown rules as it holds the key to keeping the virus under check. |
format | Online Article Text |
id | pubmed-7474887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74748872020-09-08 Estimating the impacts of lockdown on Covid-19 cases in Nigeria Ajide, Kazeem Bello Ibrahim, Ridwan Lanre Alimi, Olorunfemi Yasiru Transportation Research Interdisciplinary Perspectives Article The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered. The empirical evidence is anchored on the negative binomial regression estimator, due to the count nature of the dataset on the daily cases of the virus. 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. Second, the impact of residential is positive and statistically significant at the conventional level. Lastly, the results are robust to an alternative estimator of Poisson Regression. The emanated policy message centres on the need to direct efforts toward ensuring total compliance to the lockdown rules as it holds the key to keeping the virus under check. The Authors. Published by Elsevier Ltd. 2020-09 2020-09-06 /pmc/articles/PMC7474887/ /pubmed/34173470 http://dx.doi.org/10.1016/j.trip.2020.100217 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ajide, Kazeem Bello Ibrahim, Ridwan Lanre Alimi, Olorunfemi Yasiru Estimating the impacts of lockdown on Covid-19 cases in Nigeria |
title | Estimating the impacts of lockdown on Covid-19 cases in Nigeria |
title_full | Estimating the impacts of lockdown on Covid-19 cases in Nigeria |
title_fullStr | Estimating the impacts of lockdown on Covid-19 cases in Nigeria |
title_full_unstemmed | Estimating the impacts of lockdown on Covid-19 cases in Nigeria |
title_short | Estimating the impacts of lockdown on Covid-19 cases in Nigeria |
title_sort | estimating the impacts of lockdown on covid-19 cases in nigeria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474887/ https://www.ncbi.nlm.nih.gov/pubmed/34173470 http://dx.doi.org/10.1016/j.trip.2020.100217 |
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