Investigation of effective climatology parameters on COVID-19 outbreak in Iran

Author/s
Ahmadi M.,
Sharifi A.,
Dorosti S.,
Jafarzadeh Ghoushchi S.,
Ghanbari N.
Year
Language
English
Document Type
Article
Source Title
Science of the Total Environment
Publisher
Elsevier B.V.

Description

SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreading of COVID-19 can play an important role in the new Coronavirus outbreak. In this study, the main parameters, including the number of infected people with COVID-19, population density, intra-provincial movement, and infection days to end of the study period, average temperature, average precipitation, humidity, wind speed, and average solar radiation investigated to understand how can these parameters effects on COVID-19 spreading in Iran? The Partial correlation coefficient (PCC) and Sobolメ-Jansen methods are used for analyzing the effect and correlation of variables with the COVID-19 spreading rate. The result of sensitivity analysis shows that the population density, intra-provincial movement have a direct relationship with the infection outbreak. Conversely, areas with low values of wind speed, humidity, and solar radiation exposure to a high rate of infection that support the virus's survival. The provinces such as Tehran, Mazandaran, Alborz, Gilan, and Qom are more susceptible to infection because of high population density, intra-provincial movements and high humidity rate in comparison with Southern provinces. ᄅ 2020

Migration angle
Region/Country (by coverage)
Index Keywords

Diseases; Population distribution; Population dynamics; Population statistics; Radiation effects; Sensitivity analysis; Solar radiation; Viruses; Climatic factors; Effective parameters; High population density; Main parameters; Parameters effects; Partial correlation; Population densities; Radiation Exposure; Wind; climate effect; climatology; COVID-19; disease spread; epidemic; humidity; infectivity; mobility; population density; viral disease; Article; climate; coronavirus disease 2019; disease transmission; environmental factor; environmental temperature; epidemic; geography; human; humidity; infection rate; infection sensitivity; Iran; major clinical study; population density; priority journal; sensitivity analysis; solar radiation; virus survival; Iran; Coronavirus; SARS coronavirus