ArticleBMC public health2023
Study on the use and effectiveness of malaria preventive measures reported by employees of chinese construction companies in Western Africa in 2021.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Factors associated with mosquito control among construction workers: A systematic review.PloS one · 2024Pooled it
- Epidemiological characteristics, prevention and control status, and factors associated with malaria infection among overseas Chinese workforce in Uganda.BMC public health · 2026Article
- A comparative analysis of the predictive influence of access to malaria messages on utilization of mosquito nets by under-five children in West Africa.BMC public health · 2025Article
- Understanding international travelers' intentions to adopt protective behaviors against malaria during staying abroad: insights from a study of Chinese international travelers.Globalization and health · 2025Article
- The perception and interpretation of malaria among Chinese construction workers in sub-Saharan Africa: a qualitative study.Malaria journal · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs malaria continues to be a significant global public health concern, especially in Sub-Saharan Africa, Chinese workers in Africa are at increased risk of malaria. The effectiveness of malaria prevention measures implemented by Chinese companies and workers is a question that may correlate with the malaria infection rate in this population. This study explored the use and effectiveness of malaria prevention measures for Chinese employees in West Africa to provide a reference for companies and individuals on improving malaria prevention and control.
methodsUsing a cross-sectional approach, we surveyed 256 participants in 2021, mainly from Nigeria, Mali, Côte d'Ivoire, Ghana, Guinea, Sierra Leone, and Senegal in West Africa. The survey duration is from July to the end of September 2021. We selected two companies from the 2020 ENR "World's Largest 250 International Contractors" list, which featured 6 Chinese companies, all of which are state-owned and have a 61.9% market share in Africa. The participants were Chinese workers with more than a year of work experience in construction companies in Africa. A 20-minute WeChat-based structured online questionnaire was used to obtain information on malaria infection status and malaria prevention measures. Descriptive statistical analysis, chi-square test, principal components analysis, and ordinal logistic regression analysis are used to analyze the data obtained. The difference in Statistical significance was set at P < 0.05.
resultsNinety six (37.5%) participants contracted malaria more than once within a year. The principal components analysis found a low correlation between public and individual preventive measures. No significant correlation was found between public preventive measures and malaria infection (p > 0.05), while standardized use of mosquito nets (P = 0.016) and pesticide spraying (P = 0.047) contributed significantly to fewer malaria infections at the individual level, but the removal of vegetation around houses (P = 0.028) at the individual level related to higher malaria infection.
conclusionsIn our sample of Chinese construction workers going to Africa, some individual preventive measures had a stronger association with malaria prevention than a variety of public environmental measures. Furthermore, individual and public preventive measures were not associated with each other. Both of these findings are surprising and require further investigation in larger and more diverse samples. This- study provides important clues about the challenges that risk reduction programs face for migrant workers from China and elsewhere.
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