COVID-19 Exposure in Urban and Rural Areas

Megan Wong, Delbert Cai, Raymond Cai
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Abstract

The COVID-19 pandemic has majorly impacted the lives of people living in different living environments, such as large cities or small towns. However, there is limited knowledge about the difference in infection prevalence between urban and rural populations. To examine these differences, this study examined SARS-CoV-2 antibody levels in blood serum from 36 unvaccinated subjects of urban and rural backgrounds with no self-reported history of COVID-19 infection. Enzyme Linked Immunosorbent Assays (ELISA) detected the presence of SARS-CoV-2 antibodies in the subjects’ blood. IgG and IgM assays were used to distinguish between prior (recovered) and more recent infections, respectively. A t-test was conducted to identify a statistically significant difference, or lack thereof, between the antibody levels detected in urban and rural participants. The results indicated that there was no significant difference between the two experimental groups for both IgG and IgM (p = 0.09, 0.93, respectively), although the p-value for IgG was low enough to be notable. Overall, this study suggests that there is no major difference between urban and rural environments that impact susceptibility to SARS-CoV-2 infection, although more research with a greater sample size should be conducted.
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城乡地区的COVID-19暴露情况
新冠肺炎疫情严重影响了生活在大城市或小城镇等不同生活环境中的人们的生活。然而,对城市和农村人口之间感染流行率差异的了解有限。为了检验这些差异,本研究检测了36名未接种疫苗的城市和农村受试者的血清中SARS-CoV-2抗体水平,这些受试者没有自我报告的COVID-19感染史。酶联免疫吸附试验(ELISA)检测受试者血液中是否存在SARS-CoV-2抗体。IgG和IgM测定分别用于区分先前(恢复)和最近的感染。进行了t检验,以确定在城市和农村参与者中检测到的抗体水平之间存在统计学显著差异或缺乏统计学显著差异。结果表明,IgG和IgM在两组间差异无统计学意义(p值分别为0.09和0.93),但IgG的p值较低,具有显著性。总的来说,这项研究表明,城市和农村环境之间没有影响对SARS-CoV-2感染易感性的主要差异,尽管需要进行更多的样本量的研究。
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