Predicting the risk of malaria importation into Jiangsu Province, China: a modeling study
In conclusion, our study underscores the importance of incorporating data on Chinese migrant workers who have stayed abroad when predicting malaria importation risks. By integrating both international travel patterns and migrant worker data, our findings offer a more robust framework for assessing and managing malaria risk in Jiangsu Province. This approach provides valuable insights for public health officials, enabling more effective resource allocation and targeted interventions to prevent the re-introduction of malaria and improve overall disease management.
Authors
- Jun Cao (ORCID: https://orcid.org/0000-0001-5298-9234)
- Olaf Müller
- Yuanyuan Cao (ORCID: https://orcid.org/0000-0003-0034-9678)
- Kaixuan Liu (ORCID: https://orcid.org/0000-0001-6434-0387)
- Guangyu Lu (ORCID: https://orcid.org/0000-0003-2568-7091)
- Jun Zhang (ORCID: https://orcid.org/0000-0003-1706-1611)
- Yin Wang (ORCID: https://orcid.org/0000-0001-5500-1228)
- Liying Chai
- Yuhui Xu
- Guoding Zhu
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-5246-5497)
- Enyu Xu
- Zeyin Chong
Institutions
- Heidelberg University (DE)
- Jiangsu Institute of Parasitic Diseases (CN)
- Yangzhou University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Globalization and Health
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1186/s12992-024-01090-4
- Citations
- 3
- Primary Topic
- Malaria Research and Control
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- National Natural Science Foundation of China
- National Health Commission of the People's Republic of China