Evidence map›Paper›PMID 41724937›Full record

ArticleBMC public health2026

Epidemiological characteristics, prevention and control status, and factors associated with malaria infection among overseas Chinese workforce in Uganda.

Jian Ji, Xiaowen Gao, Lingmin Lei, Tiancan Yang, Aijie Zhou, Yafei Wang, Lvyang Chen, Qingpeng Cui, Yuanquan Zhu

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jian Ji *Department of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China. ynssyjijian@sina.com.
Xiaowen Gao *Department of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Lingmin Lei *Department of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Tiancan YangDepartment of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Aijie ZhouDepartment of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Yafei WangDepartment of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Lvyang ChenDepartment of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Qingpeng CuiDepartment of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.
Yuanquan ZhuDepartment of Urology, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, Kunming, 650011, China.

Funding

The In-hospital Research Project of the Third People's Hospital of Yunnan Province. 2024SSYKT39
6 · The paper itself

Abstract

backgroundMalaria remains a major global public health challenge, particularly in sub-Saharan Africa. Overseas Chinese workforce in Uganda face an increasing risk of malaria infection. This study aimed to characterize the epidemiological features and current status of malaria prevention and control among this population, and to identify factors associated with malaria infection.

methodsA cross-sectional study was conducted between 2022 and 2023 by members of the 22nd Chinese medical team (China-Uganda Friendship Hospital (Naguru)) to Uganda. An online questionnaire was distributed to overseas Chinese workforce residing in Uganda, with guidance provided to ensure accurate completion. The survey collected data on socio-demographic characteristics, malaria infection and treatment status, malaria prevention knowledge, attitudes, and practices, access to preventive materials and measures, and prevention needs. A total of 798 valid responses were obtained, covering participants from 32 districts across Uganda, including capital city Kampala. Data were analyzed using descriptive statistics, bivariate analyses, and multivariable logistic regression. Multivariable logistic regression was used to estimate adjusted odds ratios, and a two-sided P value < 0.05 was considered statistically significant.

resultsMalaria infection was defined as self-reported history of malaria during the stay in Uganda. A total of 798 valid online questionnaires were collected and analyzed, of which 44.5% (n = 355) of respondents reported a history of malaria infection. Multivariable logistic regression analysis revealed that being male (AOR = 1.92, 95% CI: 1.27–2.91), having a higher number of visits to Uganda (AOR = 1.28, 95% CI: 1.06–1.53), longer duration of work and residence in Uganda (AOR = 1.38, 95% CI: 1.19–1.61), negative attitudes on malaria prevention (AOR = 2.49, 95% CI: 1.41–4.40), higher mosquito biting frequency (AOR = 1.31, 95% CI: 1.10–1.56), having a higher presence of malaria cases in the surrounding population (AOR = 1.95, 95% CI: 1.51–2.51), and access to antimalarial drug supplies (AOR = 1.48, 95% CI: 1.04–2.11) were significantly associated with an increased likelihood of malaria infection. In contrast, respondents with a bachelor’s degree or higher education level (AOR = 0.65, 95% CI: 0.44–0.97) and those living with a spouse (AOR = 0.57, 95% CI: 0.36–0.91) had a lower likelihood of malaria infection.

conclusionThis study revealed a substantial burden of self-reported malaria infection among Chinese workforce in Uganda, with recurrent infections underscoring the significant health threats faced by this population. To effectively reduce the malaria burden, an integrated malaria control strategy is required. The strategy should include improving employees’ living conditions and access to healthcare, optimizing work and residential environments to reduce mosquito biting frequency, and implementing systematic and continuous health education programs to strengthen malaria-related knowledge, preventive awareness, and self-efficacy. Establishing a standardized and sustainable supply system for preventive materials and antimalarial drugs is also critical. Comprehensive implementation of these measures will not only protect the health of overseas employees and support stable business operations, but also contribute to sustaining China’s malaria-free status and provide valuable guidance for global malaria control efforts.

Indexed as

Health Knowledge, Attitudes, PracticeMalariaAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesUgandaYoung AdultEpidemiological characteristicsFactors associated with infectionMalariaOverseas Chinese workforcePrevention and control statusUganda

Identifiers

PMID41724937
PMCPMC13032297

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.