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The global response to the COVID-19 pandemic has brought a significant shift towards teleworking. While this escalating practice can reduce the risk of infection for workers, its societal and health impact also encompasses non-communicable diseases (NCDs). However, the link between teleworking frequency and NCD risk is unclear. In this study, we aimed to unravel the intricate interplay between teleworking, infectious disease (ID) transmission, and NCD risk, to quantify how these factors could affect a potential optimal teleworking frequency with regards to health outcomes.First, we conducted a rapid review to identify possible exposure-response relationships between teleworking and the risk of NCDs such as musculoskeletal disorders (MSDs) or mental health. Then, we designed a mathematical model of the transmission of ID and the acquisition of NCD in a medium-sized company to illustrate how varying levels of teleworking can impact workers health. We simulated infection dynamics over a three-month epidemic wave, considering that employees could be infected by the virus either within the workplace or outside it. On weekdays, employees were either physically present at the workplace, with potential exposure to infectious colleagues, or engaged in telework, facing a reduced community-based risk. We compared the results obtained by our model when using different teleworking frequencies and exposure-response functions, to contrast both ID and NCD risks in relation to the extent of telework engagement.From the literature, we found diverging evidence for the shape of the exposure-response relationship indicating that, depending on the NCD considered, the risk incurred by teleworking may peak at either low, intermediate or high teleworking frequency. Depending on the chosen shape of this relationship and frequency of teleworking, we observed an individual and collective benefit-risk balance between a reduction in ID transmission and a potentially increased burden of NCD.By acknowledging the dual facets of both infectious and non-communicable health outcomes, our study emphasises the need for a holistic approach when formulating strategies for ID prevention, ensuring that the societal and health impacts of such interventions are comprehensively assessed.
The global response to the COVID-19 pandemic has brought a significant shift towards teleworking. While this escalating practice can reduce the risk of infection for workers, its societal and health impact also encompasses non-communicable diseases (NCDs). However, the link between teleworking frequency and NCD risk is unclear. In this study, we aimed to unravel the intricate interplay between teleworking, infectious disease (ID) transmission, and NCD risk, to quantify how these factors could affect a potential optimal teleworking frequency with regards to health outcomes.First, we conducted a rapid review to identify possible exposure-response relationships between teleworking and the risk of NCDs such as musculoskeletal disorders (MSDs) or mental health. Then, we designed a mathematical model of the transmission of ID and the acquisition of NCD in a medium-sized company to illustrate how varying levels of teleworking can impact workers health. We simulated infection dynamics over a three-month epidemic wave, considering that employees could be infected by the virus either within the workplace or outside it. On weekdays, employees were either physically present at the workplace, with potential exposure to infectious colleagues, or engaged in telework, facing a reduced community-based risk. We compared the results obtained by our model when using different teleworking frequencies and exposure-response functions, to contrast both ID and NCD risks in relation to the extent of telework engagement.From the literature, we found diverging evidence for the shape of the exposure-response relationship indicating that, depending on the NCD considered, the risk incurred by teleworking may peak at either low, intermediate or high teleworking frequency. Depending on the chosen shape of this relationship and frequency of teleworking, we observed an individual and collective benefit-risk balance between a reduction in ID transmission and a potentially increased burden of NCD.By acknowledging the dual facets of both infectious and non-communicable health outcomes, our study emphasises the need for a holistic approach when formulating strategies for ID prevention, ensuring that the societal and health impacts of such interventions are comprehensively assessed.
Background While foreign migrants contribute to economic development, they may impact public health by transmitting communicable diseases to the local population. With its geopolitical position, Thailand has been a primary destination for migrants from neighbouring countries in Southeast Asia and beyond. This positioning makes it a focal point for examining the complexities of migration dynamics and its implications for public health. Through a quantitative analysis, this paper investigates the influence of foreign migrants on physical health issues in Thailand, exploring their impact on various types of communicable diseases. The utilization of provincial-level data from Thailand offers insights into the localized effects of migrant populations on public health within the country. These insights can serve as a valuable resource for researchers and policymakers who conduct comparative analyses, facilitating a deeper understanding of the complex relationship between international migration and public health worldwide. 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. Conclusion 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.
Travel and trade, whilst playing a critical role in economic development, contribute to the spread of infectious diseases, including novel or emerging diseases, which can threaten health security locally, regionally and globally. The World Health Organization mandates preparedness through field simulation exercises to address infectious disease outbreaks, as highlighted by the COVID-19 pandemic. This study assessed the impact of the 2019 Namanga field simulation exercise, conducted in the border town shared by Kenya and Tanzania, on improving cross-border outbreak preparedness and response. It focused on participants’ knowledge, skills acquisition and real-world application. An anonymous online survey was administered to participants 37 months post-field simulation exercise. In addition, key informant interviews and a focus group discussion with the Joint Border Management Committee in Namanga were conducted. The June 2019 field simulation exercise enhanced the skills, knowledge, and confidence of participants, including members of the border community, in preparing for and responding to outbreaks including COVID-19. The skills and knowledge gained were deemed valuable, relevant, and effective for use in future response activities. The analysis is limited by potential response bias, as only participants with positive experiences of the field simulation exercise may have responded more favourably. Addressing the limitations of design and implementation of the field simulation exercise and the challenges of cross-border response identified in this study are critical to optimising future responses.
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