Climatic factors influence the spread of COVID-19 in Russia

被引：44

作者：

Pramanik, Malay ^{[1
,2
]}

Udmale, Parmeshwar ^{[1
]}

Bisht, Praffulit ^{[2
]}

Chowdhury, Koushik ^{[3
]}

Szabo, Sylvia ^{[1
]}

Pal, Indrajit ^{[4
]}

机构：

[1] Asian Inst Technol AIT, Sch Environm Resources & Dev, Dept Dev & Sustainabil, Pathum Thani 12120, Thailand

[2] Jawaharlal Nehru Univ, Ctr Int Polit Org & Disarmament, Sch Int Studies, New Delhi, India

[3] Indian Inst Technol Kharagpur, Dept Humanities & Social Sci, Kharagpur, W Bengal, India

[4] Asian Inst Technol AIT, Disaster Prevens Mitigat & Management, Pathum Thani, Thailand

来源：

INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH | 2022年 / 32卷 / 04期

关键词：

COVID-19; community transmission; random forest model; Russia; transmission wave; DIURNAL TEMPERATURE-RANGE; RESPIRATORY-DISEASES; RANDOM FOREST; MORTALITY; CORONAVIRUSES; CHINA;

D O I：

10.1080/09603123.2020.1793921

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The study is the first attempt to assess the role of climatic predictors in the rise of COVID-19 intensity in the Russian climatic region. The study used the Random Forest algorithm to understand the underlying associations and monthly scenarios. The results show that temperature seasonality (29.2 +/- 0.9%) has the highest contribution for COVID-19 transmission in the humid continental region. In comparison, the diurnal temperature range (26.8 +/- 0.4%) and temperature seasonality (14.6 +/- 0.8%) had the highest impacts in the sub-arctic region. Our results also show that September and October have favorable climatic conditions for the COVID-19 spread in the sub-arctic and humid continental regions, respectively. From June to August, the high favorable zone for the spread of the disease will shift towards the sub-arctic region from the humid continental region. The study suggests that the government should implement strict measures for these months to prevent the second wave of COVID-19 outbreak in Russia.

引用

页码：723 / 737

页数：15

共 48 条

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