Path Analysis Of Covid-19 with the Influence of Air Pressure, Air Temperature, and Relative Humidity

05/12/2021
by   Marvin G. Pizon, et al.
0

Coronavirus disease 2019 (COVID-19) is one of the most infectious diseases and one of the greatest challenge due to global health crisis. The virus has been transmitted globally and spreading so fast with high incidence. While, the virus still pandemic, the government scramble to seek antiviral treatment and vaccines to combat the diseases. This study was conducted to investigate the influence of air pressure, air temperature, and relative humidity on the number of confirmed cases in COVID-19. Based on the result, the calculation of reproduced correlation through path decompositions and subsequent comparison to the empirical correlation indicated that the path model fits the empirical data. The identified factor significantly influenced the number of confirmed cases of COVID-19. Therefore, the number of daily confirmed cases of COVID-19 may reduce as the amount of relative humidity increases; relative humidity will increase as the amount of air temperature decreases; and the amount of air temperature will decrease as the amount of air pressure decreases. Thus, it is recommended that policy-making bodies consider the result of this study when implementing programs for COVID-19 and increase public awareness on the effects of weather condition, as it is one of the factors to control the number of COVID-19 cases.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/09/2021

The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach

The COVID-19 pandemic considerably affects public health systems around ...
research
10/29/2020

COVID-19 incidences and its association with environmental quality: A country-level assessment in India

This study explored the association between the five key air pollutants ...
research
06/24/2021

Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning

The COVID-19 disease spreads swiftly, and nearly three months after the ...
research
08/11/2020

Use of IT tools to search for a correlation between weather factors and onset of pulmonary thromboembolism

Pulmonary embolism (PE) and deep vein thrombosis (DVT) are gathered in v...
research
07/28/2020

Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature and absolute humidity

This study analyzed the morbidity and mortality rates of the COVID-19 pa...
research
07/31/2023

Effect of air pollution on the growth of diabetic population

Diabetes mellitus is a disease which is currently a huge health hazard g...
research
11/02/2020

The Improvement of the Air Quality due to Traffic Halting in Los Angeles and Potential Health Care Risk during the COVID-19 Outbreak

Background: On March 19, 2020, the government of California ordered all ...

Please sign up or login with your details

Forgot password? Click here to reset