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The Nexus Between COVID-19 Factors and Air Pollution.
Parvin, Rehana.
  • Parvin R; Department of Statistics, International University of Business Agriculture and Technology, Dhaka, Bangladesh.
Environ Health Insights ; 17: 11786302231164288, 2023.
Article in English | MEDLINE | ID: covidwho-2301543
ABSTRACT
Background and

Objective:

There have been significant effects of the current coronavirus-19 (COVID-19) infection outbreak on many facets of everyday life, particularly the environment. Despite the fact that a number of studies have already been published on the topic, an analysis of those studies' findings on COVID-19's effects on environmental pollution is still lacking. The goal of the research is to look into greenhouse gas emissions and air pollution in Bangladesh when COVID-19 is under rigorous lockdown. The specific drivers of the asymmetric relationship between air pollution and COVID-19 are being investigated.

Methods:

The nonlinear relationship between carbon dioxide ( C O 2 ) emissions, fine particulate matter ( P M 2 . 5 ) , and COVID-19, as well as its precise components, are also being investigated. To examine the asymmetric link between COVID-19 factors on C O 2 emissions and P M 2 . 5 , we employed the nonlinear autoregressive distributed lag (NARDL) model. Daily positive cases and daily confirmed death by COVID-19 are considered the factors of COVID-19, with lockdown as a dummy variable.

Results:

The bound test confirmed the existence of long-run and short-run relationships between variables. Bangladesh's strict lockdown, enforced in reaction to a surge of COVID-19 cases, reduced air pollution and dangerous gas emissions, mainly C O 2 , according to the dynamic multipliers graph.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Environ Health Insights Year: 2023 Document Type: Article Affiliation country: 11786302231164288

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Environ Health Insights Year: 2023 Document Type: Article Affiliation country: 11786302231164288