scholarly journals Implications of COVID-19 on The of Fine Particulate Matter (PM2.5) in Ethiopia

2020 ◽  
Author(s):  
Tadesse Weyuma Bulto ◽  
Abdella Kosa Chebo ◽  
Asnake Gudisa Ede ◽  
Birhanu Chalchisa Werku
Keyword(s):  
Particulate Matter ◽  
Addis Ababa ◽  
Fine Particulate Matter ◽  
Public Health Problem ◽  
Environmental Data ◽  
The Novel ◽  
Global Public Health ◽  
Fine Particulate ◽  
Daily Concentration ◽  
Novel Coronavirus

Abstract Background: The novel coronavirus pandemic, namely COVID-19, has become a global public health problem. COVID-19 was first reported in Ethiopia on 14 March 2020 by WHO. This paper is aimed at identifying the implication of COVID-19 on the concentration of PM2.5 from March 14, 2020 to July 31, 2020 in Ethiopia. Methods: The study gathered the environmental data released by Addis Ababa Central monitoring station before and during the coronavirus pandemic and discusses its impact on air quality. Daily concentrations of PM2.5 were compared before and during the COVId-19 for 280 days. The study compared the daily concentration of PM2.5 before COVID-19 from October 25, 2019 to March 13, 2020 and during COVID-19 from March 14, 2020 to July 31, 2020. The summary of the particulate matter, number of cases and deaths from March 14, 2020 to July 31, 2020 were analyzed in Ethiopia.Results: The results show that, the concentration of PM2.5 during COVID-19 was higher than before COVID-19. As air pollution increased the number of deaths was increased during coronavirus pandemic. There were 16,615 confirmed cases and 263 number of deaths from March 14, 2020 to July 31, 2020 in Ethiopia. Conclusion: We found that the concentration of PM2.5 during COVID-19 was higher than before COVID-19. COVID-19 has implications for the fine particulate matter (PM2.5) pollution in metropolitan city.

Reactive oxygen species (ROS) activity of fine particulate matter health impacts in Addis Ababa, Ethiopia

2021 ◽  
pp. 101149
Author(s):  
Piyaporn Sricharoenvech ◽  
Alexandra Lai ◽  
Worku Tefera ◽  
Abera Kumie ◽  
Kiros Berhane ◽  
...  
Keyword(s):  
Reactive Oxygen Species ◽  
Particulate Matter ◽  
Addis Ababa ◽  
Fine Particulate Matter ◽  
Reactive Oxygen ◽  
Health Impacts ◽  
Oxygen Species ◽  
Fine Particulate

scholarly journals Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis

2021 ◽  
Vol 18 (18) ◽  
pp. 9644
Author(s):  
Hongbo Chen ◽  
Junhui Wu ◽  
Mengying Wang ◽  
Siyue Wang ◽  
Jiating Wang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Knee Osteoarthritis ◽  
Fine Particulate Matter ◽  
Poisson Model ◽  
Outpatient Visits ◽  
Fine Particulate ◽  
Short Term Exposure ◽  
Daily Concentration ◽  
Pm2.5 Exposure ◽  
The Impact

The impact of exposure to fine particulate matter (PM2.5) on the incidence of knee osteoarthritis is unclear, especially in Beijing which is a highly polluted city. We conducted a time-series study to examine the correlation between PM2.5 exposure and outpatient visits for knee osteoarthritis in Beijing. Changes (in percentage) in the number of outpatient visits corresponding to every 10-μg/m3 increase in the PM2.5 concentration were determined using a generalized additive quasi-Poisson model. There were records of 9,797,446 outpatient visits for knee osteoarthritis in the study period from 1 January 2010 to 31 December 2017. The daily concentration of PM2.5 was 86.8 (74.3) μg/m3 over this period. A 10-μg/m3 increase in PM2.5 concentrations on lag days 0–3 was associated with a 1.41% (95% confidence interval: 1.40–1.41%) increase in outpatient visits for knee osteoarthritis. Females and patients aged above 65 years were more sensitive to the adverse effects of PM2.5 exposure. The present findings demonstrate that short-term exposure to PM2.5 resulted in an increase in the number of outpatient visits for knee osteoarthritis in Beijing. The findings shed light on the effects of air pollution on knee osteoarthritis and could guide risk-mitigating strategies in cities such as Beijing.

scholarly journals The Relationship between Daily Concentration of Fine Particulate Matter in Ambient Air and Exacerbation of Respiratory Diseases in Silesian Agglomeration, Poland

2019 ◽  
Vol 16 (7) ◽  
pp. 1131 ◽  
Author(s):  
Małgorzata Kowalska ◽  
Michał Skrzypek ◽  
Michał Kowalski ◽  
Josef Cyrys ◽  
Niewiadomska Ewa ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Respiratory Diseases ◽  
Moving Average ◽  
Fine Particulate Matter ◽  
Ambient Air ◽  
Average Concentration ◽  
Outpatient Visits ◽  
Fine Particulate ◽  
Daily Concentration ◽  
The Relationship

The relationship between the worsening of air quality during the colder season of the year and respiratory health problems among the exposed population in many countries located in cold climates has been well documented in numerous studies. Silesian Voivodeship, a region located in southern Poland, is one of the most polluted regions in Europe. The aim of this study was to assess the relationship between daily concentration of particulate matter (PM: PM2.5 and PM10) in ambient air and exacerbations of respiratory diseases during the period from 1 January 2016 to 31 August 2017 in the central agglomeration area of Silesian Voivodeship. The study results confirmed a significant increase of daily fine particulate matter concentration in ambient air during the cold season in Silesian Voivodeship with a simultaneous increase of the number of outpatient visits and hospitalizations due to respiratory diseases. The moving average concentration was better suited for the modelling of biological response as a result of PM2.5 or PM10 exposure than the temporal lag of health effects. Each increase of dose expressed in the form of moving average concentration over a longer time leads to an increase in the daily number of respiratory effects. The highest risk of hospitalization due to respiratory diseases was related to longer exposure of PM expressed by two to four weeks of exposure; outpatient visits was related to a shorter exposure duration of 3 days.

SARS-COV2 virus and Coronavirus disease (COVID-19)

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 977-982
Author(s):  
Mohamed J. Saadh ◽  
Bashar Haj Rashid M ◽  
Roa’a Matar ◽  
Sajeda Riyad Aldibs ◽  
Hala Sbaih ◽  
...  
Keyword(s):  
Close Contact ◽  
Antiviral Agents ◽  
Health Concern ◽  
The Novel ◽  
Global Public Health ◽  
Fatal Disease ◽  
Mild Disease ◽  
Life Threatening ◽  
Novel Coronavirus

SARS-COV2 virus causes Coronavirus disease (COVID-19) and represents the causative agent of a potentially fatal disease that is of great global public health concern. The novel coronavirus (2019) was discovered in 2019 in Wuhan, the market of the wet animal, China with viral pneumonia cases and is life-threatening. Today, WHO announces COVID-19 outbreak as a pandemic. COVID-19 is likely to be zoonotic. It is transmitted from bats as intermediary animals to human. Also, the virus is transmitted from human to human who is in close contact with others. The computerized tomographic chest scan is usually abnormal even in those with no symptoms or mild disease. Treatment is nearly supportive; the role of antiviral agents is yet to be established. The SARS-COV2 virus spreads faster than its two ancestors, the SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), but has lower fatality. In this article, we aimed to summarize the transmission, symptoms, pathogenesis, diagnosis, treatment, and vaccine to control the spread of this fatal disease.

The Mortality Impact of Fine Particulate Matter in China

2020 ◽  
Author(s):  
Yazhen Gong ◽  
Shanjun Li ◽  
Nicholas Sanders ◽  
Guang Shi
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Fine Particulate

Application of Inherent Risk of Contagion (IRC) framework & modelling to aid local Covid-19 response & mitigation: Viewpoint (Preprint)

2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Problem ◽  
Analytical Framework ◽  
Vulnerable Population ◽  
Contact Tracing ◽  
Global Public Health ◽  
Inherent Risk ◽  
Transmission Area ◽  
Current Outbreak ◽  
Novel Coronavirus

UNSTRUCTURED The current outbreak of coronavirus disease 2019 (COVID-19) caused by the novel coronavirus named SARS-CoV-2 has been a major global public health problem threatening many countries and territories. Mathematical modelling is one of the non-pharmaceutical public health measures that plays a crucial role for mitigating the risk and impact of the pandemic. A group of researchers and epidemiologists have developed a machine learning-powered inherent risk of contagion (IRC) analytical framework to georeference the COVID-19 with an operational platform to plan response & execute mitigation activities. This framework dataset provides a coherent picture to track and predict the COVID-19 epidemic post lockdown by piecing together preliminary data on publicly available health statistic metrics alongside the area of reported cases, drivers, vulnerable population, and number of premises that are suspected to become a transmission area between drivers and vulnerable population. The main aim of this new analytical framework is to measure the IRC and provide georeferenced data to protect the health system, aid contact tracing, and prioritise the vulnerable.

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