A pneumonia-like disease of unknown origin caused a catastrophe in Wuhan city, China. This disease spread to 215 countries affecting a wide range of people. World health organization (WHO) called it a pandemic and it was officially named as Severe Acute Respiratory Syndrome Corona virus 2 (SARS CoV-2), also known as Corona virus disease (COVID-19). This pandemic compelled countries to enforce a socio-economic lockdown to prevent its widespread. This paper focuses on how the particulate matter pollution was reduced during the lockdown period (23 March to April 15, 2020) as compared to before lockdown. Both ground-based and satellite observations were used to identify the improvement in air quality of Pakistan with primary focus on four major cities of Lahore, Islamabad, Karachi and Peshawar. Both datasets have shown a substantial reduction in PM pollution levels (ranging from 13% to 33% in case of satellite observations, while 23%-58% in ground-based observations) across Pakistan. Result shows a higher rate of COVID-19 spread in major cities of Pakistan with poor air quality conditions. Yet more research is needed in order to establish linkage between COVID-19 spread and air pollution. However, it can be partially attributed to both higher rate of population density and frequent exposure of population to enhanced levels of PM concentrations before lockdown period.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645282PMC
http://dx.doi.org/10.1016/j.envres.2020.110421DOI Listing

Publication Analysis

Top Keywords

covid-19 spread
12
corona virus
8
lockdown period
8
satellite observations
8
air quality
8
major cities
8
higher rate
8
exploring linkage
4
linkage levels
4
covid-19
4

Similar Publications

Host Specificity and Geographic Dispersion Shape Virome Diversity in Rhinolophus Bats.

Mol Ecol

January 2025

Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China.

Rhinolophus bats have been identified as natural reservoirs for viruses with global health implications, including severe acute respiratory syndrome-related coronaviruses (SARSr-CoV) and swine acute diarrhoea syndrome-related coronavirus (SADSr-CoV). In this study, we characterised the individual viromes of 603 bats to systematically investigate the diversity, abundance and geographic distribution of viral communities within R. affinis, R.

View Article and Find Full Text PDF

Background: For a long time, the penalty of imprisonment has been studied and criticized as ineffective in achieving the goals of resocialization and rehabilitation of offenders, and studies have associated incarceration with increased prevalence of disease. In response to the COVID-19 pandemic, the World Health Organization recommended decarceration as a prevention measure. The aim of this review was to analyze the effectiveness of non-exposure to incarceration in preventing COVID-19 and mitigating associated events.

View Article and Find Full Text PDF

Despite maintaining a lower mortality rate and greater control of victims infected by COVID-19, the world's population and science are still confronted with this coronavirus. Therefore, the aim was to assess the association between sociodemographic factors and the level of knowledge and attitudes of dental students regarding disinfection as a control measure to reduce the spread of COVID-19. This cross-sectional study evaluated 503 dental students from the capital city and one Peruvian province between February and June 2022.

View Article and Find Full Text PDF

Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm.

Sci Rep

January 2025

Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India, 641010.

The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions. This study proposes an advanced framework to detect and predict COVID-19 using deep learning from cough audio signals.

View Article and Find Full Text PDF

Background: It has been reported that the emergence of coronavirus disease 2019 (COVID-19) has changed the epidemiological characteristics of many pathogens, but the epidemiological characteristics of (MP) infection in hospitalized children with community-acquired pneumonia (CAP) are not clear. The aim of this study was to answer this question.

Methods: Children with CAP in three tertiary hospitals (hospitals A, B and C) from 2018 to 2023 were selected.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!