Identifying novel factors associated with COVID-19 transmission and fatality using the machine learning approach.

Identifying novel factors associated with COVID-19 transmission and fatality using the machine learning approach.
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DOI:
10.1016/j.scitotenv.2020.142810
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发表时间:
2021-04-10
期刊:
The Science of the total environment
影响因子:
--
通讯作者:
Wang X
Wang X
中科院分区:
其他
文献类型:
--
作者:
Li M;Zhang Z;Cao W;Liu Y;Du B;Chen C;Liu Q;Uddin MN;Jiang S;Chen C;Zhang Y;Wang X

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截至2020年10月14日,COVID-19病毒已感染超过3800万人,并导致全球超过100万人死亡。通过使用逻辑回归模型,我们确定了与154个国家和美国50个州的COVID 19病例,死亡和病死率相关的新的关键因素。在与COVID-19风险相关的众多因素中,经济不平等增加了COVID-19传播的风险。人均医院床位与COVID-19死亡人数呈负相关。血型B和AB是COVID-19风险的保护因素,而血型A是风险因素。艾滋病毒、流感和肺炎的流行与COVID-19风险降低有关。蔬菜、食用油、蛋白质、维生素D和维生素K摄入量的增加与COVID-19风险降低相关,而酒精摄入量的增加与COVID-19风险增加相关。其他因素包括年龄、性别、温度、湿度、社交距离、吸烟、健康投资、城市化水平和种族。与低温相比,高温是减缓COVID-19传播的一个更引人注目的因素。我们全面识别影响COVID-19传播及死亡的因素,可为COVID-19大流行提供新见解,并为预防及转移COVID-19传播提供有效策略。
The COVID-19 virus has infected more than 38 million people and resulted in more than one million deaths worldwide as of October 14, 2020. By using the logistic regression model, we identified novel critical factors associated with COVID19 cases, death, and case fatality rates in 154 countries and in the 50 U.S. states. Among numerous factors associated with COVID-19 risk, economic inequality enhanced the risk of COVID-19 transmission. The per capita hospital beds correlated negatively with COVID-19 deaths. Blood types B and AB were protective factors for COVID-19 risk, while blood type A was a risk factor. The prevalence of HIV and influenza and pneumonia was associated with reduced COVID-19 risk. Increased intake of vegetables, edible oil, protein, vitamin D, and vitamin K was associated with reduced COVID-19 risk, while increased intake of alcohol was associated with increased COVID-19 risk. Other factors included age, sex, temperature, humidity, social distancing, smoking, health investment, urbanization level, and race. High temperature is a more compelling factor mitigating COVID-19 transmission than low temperature. Our comprehensive identification of the factors affecting COVID-19 transmission and fatality may provide new insights into the COVID-19 pandemic and advise effective strategies for preventing and migrating COVID-19 spread.
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