Institute of Nature Conservation, Polish Academy of Sciences, Kraków, Poland.
Institute of Systematics and Evolution of Animals, Polish Academy of Sciences, Kraków, Poland.
PLoS One. 2020 Jul 30;15(7):e0236856. doi: 10.1371/journal.pone.0236856. eCollection 2020.
Severe acute respiratory syndrome coronavirus 2, the virus that causes coronavirus disease 2019 (COVID-19), has expanded rapidly throughout the world. Thus, it is important to understand how global factors linked with the functioning of the Anthropocene are responsible for the COVID-19 outbreak. We tested hypotheses that the number of COVID-19 cases, number of deaths and growth rate of recorded infections: (1) are positively associated with population density as well as (2) proportion of the human population living in urban areas as a proxies of interpersonal contact rate, (3) age of the population in a given country as an indication of that population's susceptibility to COVID-19; (4) net migration rate and (5) number of tourists as proxies of infection pressure, and negatively associated with (5) gross domestic product which is a proxy of health care quality. Data at the country level were compiled from publicly available databases and analysed with gradient boosting regression trees after controlling for confounding factors (e.g. geographic location). We found a positive association between the number of COVID-19 cases in a given country and gross domestic product, number of tourists, and geographic longitude. The number of deaths was positively associated with gross domestic product, number of tourists in a country, and geographic longitude. The effects of gross domestic product and number of tourists were non-linear, with clear thresholds above which the number of COVID-19 cases and deaths increased rapidly. The growth rate of COVID-19 cases was positively linked to the number of tourists and gross domestic product. The growth rate of COVID-19 cases was negatively associated with the mean age of the population and geographic longitude. Growth was slower in less urbanised countries. This study demonstrates that the characteristics of the human population and high mobility, but not population density, may help explain the global spread of the virus. In addition, geography, possibly via climate, may play a role in the pandemic. The unexpected positive and strong association between gross domestic product and number of cases, deaths, and growth rate suggests that COVID-19 may be a new civilisation disease affecting rich economies.
严重急性呼吸系统综合症冠状病毒 2 型(SARS-CoV-2)是引发 2019 年冠状病毒病(COVID-19)的病毒,该病毒在全球迅速蔓延。因此,了解与人类世功能相关的全球因素如何导致 COVID-19 的爆发是很重要的。我们测试了以下假设:COVID-19 病例数量、死亡人数和记录感染增长率:(1)与人口密度呈正相关,(2)与城市地区人口比例呈正相关,作为人际接触率的代表,(3)一个国家的人口年龄作为该人群对 COVID-19 的易感性的指标,(4)净移民率和(5)游客人数作为感染压力的代表,与(5)国内生产总值呈负相关,国内生产总值是医疗保健质量的代表。国家层面的数据来自公开数据库,在控制混杂因素(如地理位置)后,使用梯度提升回归树进行分析。我们发现,在给定国家 COVID-19 病例数量与国内生产总值、游客数量和地理经度之间存在正相关关系。死亡人数与国内生产总值、一个国家的游客数量和地理经度呈正相关。国内生产总值和游客数量的影响是非线性的,超过一定阈值,COVID-19 病例和死亡人数迅速增加。COVID-19 病例增长率与游客数量和国内生产总值呈正相关。COVID-19 病例增长率与人口平均年龄和地理经度呈负相关。城市化程度较低的国家增长率较慢。本研究表明,人口特征和高度流动性,但不是人口密度,可能有助于解释病毒的全球传播。此外,地理条件,可能通过气候,可能在大流行中发挥作用。国内生产总值和病例、死亡人数以及增长率之间出乎意料的正相关和强相关性表明,COVID-19 可能是一种影响富裕经济体的新文明病。