Sociodemographic characteristics and health access associated with COVID-19 infection and death: a cross-sectional study in Malang District, Indonesia

Author:

Sujarwoto SujarwotoORCID,Maharani Asri

Abstract

ObjectivesThis study aims to examine sociodemographic characteristics and health access associated with COVID-19 infection and death in Malang District, Indonesia.DesignA non-random cross-sectional study.SettingPopulation in 390 villages in Malang District, East Java Province, Indonesia.ParticipantsWe used Malang District government COVID-19 contact tracing data from 14 264 individuals, spanning from 1 March 2020 to 29 July 2020.Primary outcome measuresThe outcome variables in this study are COVID-19 infections and COVID-19 deaths. The associations between sociodemographic characteristics and health access of COVID-19 infection and death were analysed using multilevel logistic regression.ResultsAmong the 14 264 samples, 551 individuals were confirmed as being infected with COVID-19; 62 individuals died of COVID-19. Women, individuals with direct contact with confirmed COVID-19 cases and individuals with hypertension constituted the groups most vulnerable to COVID-19 infection. Among respondents with confirmed COVID-19 cases, men, individuals aged 61 years and older, individuals with hypertension, and those diagnosed with pneumonia and respiratory failure were at higher risk of death. The number of community-based healthcare interventions was significantly associated with lower COVID-19 infection and COVID-19 mortality. Greater distance to a COVID-19 referral hospital increased risk of COVID-19 mortality.ConclusionsCOVID-19 infection and death were related not only to sociodemographic characteristics of individuals but also to the presence of community-based healthcare interventions and access to hospital care. Strategies in public health, including improving healthcare access, are required to reduce COVID-19 infections among the most susceptible groups in Indonesia.

Funder

The Directorate General of Higher Education, Ministry of Education and Culture, Republic of Indonesia

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3