Pham Bang Nguyen, Aga Tess, Emori Rebecca, Manong Doris, Maraga Seri, Degemba Billiam, Gabe Vicky, Berry Noel, Kobol Michael, Kue Lydia, Ainui Nanim, Jorry Ronny, Silas Vinson D, Abori Nora, Jaukae Gasowo S, Gende Guise, Ha Toan H, Okely Anthony D, Pomat William
Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Department of Infectious Diseases and Microbiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
BMJ Public Health. 2023 Dec 9;1(1):e000563. doi: 10.1136/bmjph-2023-000563. eCollection 2023 Nov.
The COVID-19 pandemic had an unprecedented impact on the health and well-being of populations worldwide. Few studies have used household data to explore the health risks associated with COVID-19 in low-income and middle-income countries. This study assessed population vulnerability to COVID-19 by examining household socioeconomic factors related to COVID-19 health risks in Papua New Guinea (PNG).
Using household socioeconomic surveillance data from 2020, encompassing 37 880 residents living within the catchment areas of the Comprehensive Health and Epidemiological Surveillance System, the study assessed COVID-19 health risks based on the socioeconomic demographic characteristics of the surveillance population. Multinomial logistic regression analyses were conducted to determine associated factors and to estimate predictors of COVID-19 health risks.
Among the surveillance population, more than 9% reported experiencing COVID-19 health risks, including home-based quarantine (9.6%), centre-based quarantine (0.5%), positive COVID-19 test (0.1%), hospitalisation due to COVID-19 (0.3%) and death from COVID-19 (0.3%). People living in semimodern houses (OR 1.47 (95% CI 1.35 to 1.61)) (verse permanent houses), individuals living in houses with 1-2 bedrooms (OR 1.12 (95% CI 1.01 to 1.25)) (verse houses with 4+ bedrooms) and those belonging to the poorest wealth quintile (OR 1.16 (95% CI 1.024 to 1.314)) (verse the richest) were more susceptible to COVID-19 health risks. Protective factors against COVID-19 health risks included urban residence (OR 0.65 (95% CI 0.59 to 0.71)) (verse rurality), aged 0-4 years (OR 0.76 (95% CI 0.64 to 0.91)) (verse aged 55+ years), households with 7-8 members (OR 0.84 (95% CI 0.74 to 0.96)) (verse 10+ members), handwashing with soap (OR 0.3 (95% CI 0.28 to 0.33)) (verse without soap).
The study provides insights into the susceptibility to COVID-19 health risks across socioeconomic groups in PNG. These findings have implications for development of public health policies and interventions that can be extrapolated to similar settings for enhancing preparedness for future public health emergencies.
新冠疫情对全球民众的健康与福祉产生了前所未有的影响。在低收入和中等收入国家,很少有研究利用家庭数据来探究与新冠疫情相关的健康风险。本研究通过考察巴布亚新几内亚(PNG)与新冠健康风险相关的家庭社会经济因素,评估了民众对新冠疫情的脆弱性。
利用2020年的家庭社会经济监测数据,涵盖综合健康与流行病学监测系统集水区内的37880名居民,该研究基于监测人群的社会经济人口特征评估了新冠健康风险。进行多项逻辑回归分析以确定相关因素并估计新冠健康风险的预测因素。
在监测人群中,超过9%的人报告经历过新冠健康风险,包括居家隔离(9.6%)、集中隔离(0.5%)、新冠检测呈阳性(0.1%)、因新冠住院(0.3%)和死于新冠(0.3%)。居住在半现代房屋中的人(比值比1.47(95%置信区间1.35至1.61))(相对于永久性房屋)、居住在有1至2间卧室房屋中的人(比值比1.12(95%置信区间1.01至1.25))(相对于有4间及以上卧室的房屋)以及属于最贫困财富五分位数的人(比值比1.16(95%置信区间1.024至1.314))(相对于最富有的人)更容易面临新冠健康风险。预防新冠健康风险的保护因素包括城市居住(比值比0.65(95%置信区间0.59至0.71))(相对于农村)、年龄在0至4岁(比值比0.76(95%置信区间0.64至0.91))(相对于55岁及以上)、有7至8名成员的家庭(比值比0.84(95%置信区间0.74至0.96))(相对于10名及以上成员)、用肥皂洗手(比值比0.3(95%置信区间0.28至0.33))(相对于不用肥皂)。
该研究深入了解了巴布亚新几内亚不同社会经济群体对新冠健康风险的易感性。这些发现对于制定公共卫生政策和干预措施具有启示意义,这些政策和措施可推广至类似环境,以加强对未来突发公共卫生事件的应对准备。