METHODS: A spatial panel autoregressive model (SAR) is applied on the provincial level communicable diseases and socio-economic data in Thailand from the period 2016 to 2021.
RESULTS: The results indicate that the influence of foreign migrants on communicable diseases in Thailand varies depending on the type of disease. While an increase in migrants correlates with a higher prevalence of respiratory and other communicable diseases, it conversely reduces the prevalence of vaccine-preventable diseases. Additionally, we found that migrants do not significantly impact the prevalence of food- and water-borne diseases, insect-borne diseases, animal-borne diseases, or sexually transmitted diseases in Thailand. Additionally, other factors, such as GPP per capita, unemployment, poverty, and technology access, strongly correlate with most types of communicable diseases.
CONCLUSIONS: As revealed by this study, the increase in migrants leads to a rise in respiratory and other communicable diseases, as well as a decrease in vaccine-preventable diseases, which carries significant policy implications. These results urge policymakers, the Ministry of Labour, and the Ministry of Public Health to implement tailored policies and measures to enhance public health and effectively mitigate the risk of communicable diseases transmitted by migrants in the future.
方法:对2016年至2021年泰国省级传染病和社会经济数据应用了空间面板自回归模型(SAR)。
结果:结果表明,外国移民对泰国传染病的影响因疾病类型而异。虽然移民的增加与呼吸系统疾病和其他传染病的流行率上升有关,相反,它降低了疫苗可预防疾病的流行率。此外,我们发现移民对食物和水传播疾病的流行没有显著影响,昆虫传播的疾病,动物传播疾病,或者泰国的性传播疾病。此外,其他因素,如按人均,失业,贫穷,和技术接入,与大多数类型的传染病密切相关。
结论:正如这项研究所揭示的,移民的增加导致呼吸道和其他传染病的增加,以及疫苗可预防疾病的减少,这带来了重大的政策影响。这些结果敦促决策者,劳动部,的政策和措施,以加强公共卫生,并有效降低未来由移民传播的传染病的风险。