赞比亚卢萨卡省COVID-19社会生态和社会人类学决定因素横断面研究

C. Mumba, Linda Basikolo, Simegnew Adugna Kallu, Henson Kainga, Jezreel Mwiinde, Vistorina Benhard, J. Muma, Musso Munyeme
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摘要

2019冠状病毒病构成了一场大流行,造成了国际突发公共卫生事件。除了重大的卫生挑战外,COVID-19疾病的影响还限制了人员流动,严重影响了全球经济。赞比亚第一例COVID-19病例于2020年3月18日被发现。到2020年11月底,报告感染COVID-19的地区从68个增加到96个,首都卢萨卡、铜带和恩多拉地区报告的传播率最高。随着COVID-19在赞比亚全国蔓延,有几个因素导致了病毒的传播。尽管对COVID-19疾病的决定因素进行了广泛的研究,但该疾病在社会人口和社会生态领域的空间分布仍然是推测性的,人类学动态领域对传染病的研究较少。本研究采用横断面设计调查了赞比亚卢萨卡地区4个化合物中COVID-19疾病的生态和人类学决定因素。采用指导性问卷对301名参与者进行数据收集。对所有自变量进行描述性分析。对因变量和自变量的关联进行分析,并对在双变量水平上显著的自变量进行多变量分析,以调查因变量(对COVID-19病毒感染者的了解程度)与自变量之间的关联。双变量分析结果显示,比值比大于1的14个自变量与COVID-19的传播显著相关。在多变量logistic回归分析模型中发现两个变量是高度显著的。这些包括对COVID-19的信念(赔率= 3.0;P = 0.003;CI 1.2-3.3)和参与者居住区域(odds = 2.6;P = 0.003;Ci = 1.2-5.5)。其他显著变量为生态变量;气候和人类学变量;手部卫生习惯。目前的研究为生态学和人类学在传染病传播中的潜在作用提供了进一步的见解。该研究建议提高民众的意识,加强防范和应对,以减少COVID-19的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-sectional study on socio-ecological and socio-anthropological determinants of COVID-19 in Lusaka Province of Zambia
The COVID-19 disease constitutes a pandemic that has created an international public health emergency. Besides the significant health challenges, the impact of the COVID-19 disease has been the restriction of movements that have heavily affected the global economy. The first case of COVID-19 in Zambia was identified on March 18th, 2020. By the end of November 2020, the number of districts reporting COVID-19 infections had increased from 68 to 96, with reports of the highest transmission in the capital city, Lusaka, the Copperbelt, and Ndola districts. As COVID-19 spread across the nation of Zambia, several factors are responsible for the spread of the virus. Despite the extensive collection of research done on determinants of COVID-19 disease, the spatial distribution of the disease along socio-demographical and socio- ecological domains remains speculative and infectious diseases have been less looked into in the areas of anthropological dynamics. This study used a cross-sectional design to investigate the ecological and anthropological determinants of COVID-19 disease in four compounds in the Lusaka district of Zambia. A guided questionnaire was used to collect data from 301 participants. A descriptive analysis of all independent variables was done. Analysis for associations of dependent and independent variables and multivariate analysis of the independent variables significant at the bi-variate level was conducted to investigate the association between the dependent variable (Knowledge of anyone infected with COVID-19 virus) and the independent variables. The bi-variate analysis results showed that 14 independent variables with odds ratios greater than one were significantly associated with the spread of COVID-19. Two variables were found to be highly significant in the multivariable logistic regression analysis model. These included beliefs about COVID-19 (odds = 3.0; p = 0.003; CI 1.2-3.3), and participants area of residence (odds = 2.6; p = 0.003; CI = 1.2-5.5). Other significant multivariate variables were ecological variable; climate and anthropological variables; hand hygienic practices. The current research provides further insight into the potential role ecology and anthropology contribute to the spread of communicable diseases. The study recommends awareness of the population to enhance preparedness and response to reduce the spread of COVID-19.
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