Modeling tuberculosis transmission flow in China, 2010-2012.

BACKGROUND: China has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmission is yet unclear in China. METHODS: 29,667 tuberculosis flow data were derived from the new smear-positive pulmonary tuberculosis cases in China. Spatial variation of TB transmission was measured by geodetector q-statistic and spatial interaction model was used to model the tuberculosis flow and the regional socioeconomic factors. RESULTS: Tuberculosis transmission flow presented spatial heterogeneity. The Pearl River Delta in southern China and the Yangtze River Delta along China's east coast presented as the largest destination and concentration areas of tuberculosis inflows. Socioeconomic factors were determinants of tuberculosis flow. Some impact factors showed different spatial associations with tuberculosis transmission flow. A 10% increase in per capita GDP was associated with 10.2% in 2010 or 2.1% in 2012 decrease in tuberculosis outflows from the provinces of origin, and 1.2% in 2010 or 0.5% increase in tuberculosis inflows to the destinations and 18.9% increase in intraprovincial flow in 2012. Per capita net income of rural households and per capita disposable income of urban households were positively associated with tuberculosis flows. A 10% increase in per capita net income corresponded to 14.0% in 2010 or 3.6% in 2012 increase in outflows from the origin, 44.2% in 2010 or 12.8% increase in inflows to the destinations and 47.9% increase in intraprovincial flows in 2012. Tuberculosis incidence had positive impacts on tuberculosis flows. A 10% increase in the number of tuberculosis cases corresponded to 2.2% in 2010 or 1.1% in 2012 increase in tuberculosis inflows to the destinations, 5.2% in 2010 or 2.0% in 2012 increase in outflows from the origins, 11.5% in 2010 or 2.2% in 2012 increase in intraprovincial flows. CONCLUSIONS: Tuberculosis flows had clear spatial stratified heterogeneity and spatial autocorrelation, regional socio-economic characteristics had diverse and statistically significant effects on tuberculosis flows in the origin and destination, and income factor played an important role among the determinants.

Research on the health status and influencing factors of the older adult floating population in Shanghai.

Introduction: Over the past decade, against the dual background of population aging and mobility, the older adult/adults floating population has become a new type of mobile group in China, continually congregating in large cities, posing significant challenges to the socio-economic development, eldercare services, and public management of these metropolises. Shanghai, as a mega-city and the economic center of the China, is typically representative of the national population. Methods: Based on the dynamic monitoring data of Shanghai's floating population in 2018, this research uses mathematical statistics and binary Logistic regression models. Objective: This research analyzes the demographic characteristics and health status of the older adult/adults floating population in Shanghai in the new era and reveals its primary influencing factors. Results and discussion: (1) A prominent contradiction in the scale and structure of the older adult/adults floating population, with widowed and low-educated mobile older adult/adults requiring attention. (2) There is a lack of health knowledge, and the proportion of local reimbursement is low. Over 90% of migrant older adult/adults self-assessed their health (with a very few unable to care for themselves), far higher than the proportion of older adult/adults who are not sick (injured) or uncomfortable (actually healthy), which exceeds 70%. The health status of migrant older adult/adults deteriorates with age, and those who have never attended school and live alone have the worst health status. (3) Older adult/adults people with advanced age and low educational levels are at risk of health issues, while a better living environment can reduce the risk of illness in the older adult/adults floating population. Low family income, poor housing affordability, and the medical burden brought about by illness can easily lead to older adult/adults floating populations falling into the trap of older adult/adults poverty, and older adult/adults people from central regions and those who migrate along have difficulty adapting to city life, leading to poor self-assessed health. Meanwhile, community/enterprise health education helps to enhance the health protection awareness of the older adult/adults floating population. Finally, based on the governance concept of "mobility publicness," several public management and service optimization strategies for social support for the older adult/adults floating population in Shanghai are proposed.

[Related factors and equity of health status among floating population in China based on geographic information system analysis].

OBJECTIVE: To understand the health status, influencing factors and spatial distribution of the Chinese floating population and to evaluate the health equity of the floating population. METHODS: All the data were collected from the 2017 Migrant Population Dynamic Monitoring Survey in China, binary Logistic regression was used to analyze the factors that might affect the health of the floating population, and the concentration index method was used to evaluate the health equity of the floating population. Spatial autocorrelation analyses the spatial aggregation of health status and health equity. RESULTS: The unhealthy rate of the floating population in China was 2.71%. Age and gender show a statistically significant impact on self-rated health; that is, as age increases, the self-rated health of the migrant population gradually deteriorates, and women are more likely to think that they are unhealthy. Fairness analysis shows that the concentration index of the floating population is 0.021 7, the urban household registration floating population is 0.021 6, and the rural household registration floating population is 0.021 9. It is shown that the fairness of the health status of the floating population is biased towards the high-income class, and the rural household registration floating population' s health unfairness is greater than that of the urban household registration migration population. Moreover, Moran' s i=0.211 for self-rated health and Moran' s i=0.291 for the unhealthy rate indicate that self-rated health has a spatial aggregation trend. Moran' s i=0.136 showed the characteristics of spatial clustering, and the two-week prevalence fairness of the floating population was mainly in the northern and southeastern coastal areas. CONCLUSION: In general, the health status of the floating population in China is relatively good. The main influencing factors of health included gender and age. The central tendency of health inequity is reflected in the southeast coastal and northern regions, which are characterized by poverty. Attention to spatial aggregation is not only helpful to analyze the reasons of floating population, but also to study the health differences between different regions and health-related factors, to improve the overall health level of the whole population.

The Impact of Wireless Emergency Alerts on a Floating Population in Seoul, South Korea: Panel Data Analysis.

BACKGROUND: Wireless emergency alerts (WEAs), which deliver disaster information directly to individuals' mobile phones, have been widely used to provide information related to COVID-19 and to encourage compliance with social distancing guidelines during the COVID-19 pandemic. The floating population refers to the number of people temporarily staying in a specific area, and this demographic data can be a useful indicator to understand the level of social distancing people are complying with during the COVID-19 pandemic. OBJECTIVE: This study aimed to empirically analyze the impact of WEAs on the floating population where WEAs were transmitted in the early stages of the COVID-19 pandemic. As most WEA messages focus on compliance with the government's social distancing guidelines, one of the goals of transmitting WEAs during the COVID-19 pandemic is to control the floating population at an appropriate level. METHODS: We investigated the empirical impact of WEAs on the floating population across 25 districts in Seoul by estimating a panel regression model at the district-hour level with a series of fixed effects. The main independent variables were the number of instant WEAs, the daily cumulative number of WEAs, the total cumulative number of WEAs, and information extracted from WEAs by natural language processing at the district-hour level. The data set provided a highly informative empirical setting as WEAs were sent by different local governments with various identifiable district-hour-level data. RESULTS: The estimates of the impact of WEAs on the floating population were significantly negative (-0.013, P=.02 to -0.014, P=.01) across all specifications, implying that an additional WEA issuance reduced the floating population by 1.3% (=100(1-e-0.013)) to 1.4% (=100(1-e-0.014)). Although the coefficients of DCN (the daily cumulative number of WEAs) were also negative (-0.0034, P=.34 to -0.0052, P=.15) across all models, they were not significant. The impact of WEAs on the floating population doubled (-0.025, P=.02 to -0.033, P=.005) when the first 82 days of observations were used as subsamples to reduce the possibility of people blocking WEAs. CONCLUSIONS: Our results suggest that issuing WEAs and distributing information related to COVID-19 to a specific district was associated with a decrease in the floating population of that district. Furthermore, among the various types of information in the WEAs, location information was the only significant type of information that was related to a decrease in the floating population. This study makes important contributions. First, this study measured the impact of WEAs in a highly informative empirical setting. Second, this study adds to the existing literature on the mechanisms by which WEAs can affect public response. Lastly, this study has important implications for making optimal WEAs and suggests that location information should be included.

Association between PM2.5 and hypertension among the floating population in China: a cross-sectional study.

Few studies have investigated the association between PM2.5 and hypertension among floating populations. We therefore examined the relationship using binary logistic regression. Each grade of increment in the annual average PM2.5 (grade one: ≤15 µg/m3; grade two: 15-25 µg/m3; grade three: 25-35 µg/m3 [Excluding 25]; grade four: ≥35 µg/m3) was associated with an increased risk of hypertension (odds ratio [OR] = 1.081, 95% confidence interval (CI): 1.034-1.129). Among the female floating population (OR = 1.114, 95% CI: 1.030-1.204), those with education level of primary school and below (OR = 1.140, 95% CI: 1.058-1.229), construction workers (OR = 1.228, 95% CI: 1.058-1.426), and those living in the eastern region of China (OR = 1.241, 95% CI: 1.145-1.346) were more vulnerable to PM2.5. These results indicate that PM2.5 is positively associated with hypertension in floating populations. Floating populations who are female, less educated, construction workers, and living in the eastern region of China are more vulnerable to the adverse impacts of PM2.5.

Related factors and equity of health status among floating population in China based on geographic information system analysis / 北京大学学报(医学版)

Objective:To understand the health status,influencing factors and spatial distribution of the Chinese floating population and to evaluate the health equity of the floating population.Methods:All the data were collected from the 2017 Migrant Population Dynamic Monitoring Survey in China,binary Logistic regression was used to analyze the factors that might affect the health of the floating population,and the concentration index method was used to evaluate the health equity of the floating population.Spa-tial autocorrelation analyses the spatial aggregation of health status and health equity.Results:The un-healthy rate of the floating population in China was 2.71％.Age and gender show a statistically signifi-cant impact on self-rated health;that is,as age increases,the self-rated health of the migrant population gradually deteriorates,and women are more likely to think that they are unhealthy.Fairness analysis shows that the concentration index of the floating population is 0.021 7,the urban household registration floating population is 0.021 6,and the rural household registration floating population is 0.021 9.It is shown that the fairness of the health status of the floating population is biased towards the high-income class,and the rural household registration floating population's health unfairness is greater than that of the urban household registration migration population.Moreover,Moran's i=0.211 for self-rated health and Moran's i=0.291 for the unhealthy rate indicate that self-rated health has a spatial aggregation trend.Moran's i=0.136 showed the characteristics of spatial clustering,and the two-week prevalence fairness of the floating population was mainly in the northern and southeastern coastal areas.Conclusion:In general,the health status of the floating population in China is relatively good.The main influencing factors of health included gender and age.The central tendency of health inequity is reflected in the south-east coastal and northern regions,which are characterized by poverty.Attention to spatial aggregation is not only helpful to analyze the reasons of floating population,but also to study the health differences between different regions and health-related factors,to improve the overall health level of the whole population.

Social integration, physical and mental health and subjective well-being in the floating population-a moderated mediation analysis.

Background: Individuals of domestic migrant populations in China (specifically, migration that is economically driven) often face difficulties in social integration. They are suffering from discrimination and unfair treatment in work and life, which do harm to their physical/mental health and Subjective Well-Being (SWB). Methods: The current study utilized a stratified sampling survey in the Yangtze River Delta region of China, in October and November 2022. Six hundred and eleven useful self-reported questionnaires were collected. Questionnaires include questions about social integration, social capital, physical/mental health, and SWB; Bootstrapping method was used to test the mediating effect of physical health and mental health. Multiple hierarchical regression was used to test the moderating effect of social capital. Results: Social integration had positive impact on the SWB (r = 0.523, p < 0.01). Bootstrap analysis showed that physical health and mental health partially mediated the correlation between social integration and SWB of Floating Population with a mediation effect of 0.149 and 0.192. Social capital can positively moderate the relationship between two pair of variables: social integration and SWB (ß = 0.152, t = 4.42, p < 0.001), physical health and SWB (ß = 0.148, t = 4.39, p < 0.01). However, social capital does not play a significant moderating role in the association between the effect of mental health on SWB (ß = 0.032, t = 0.973, p > 0.05). Conclusion: This study proved a significant correlation between social integration and SWB of Floating Population, with physical/mental health playing a mediating role. Enhancing the social integration of floating population and keeping healthy physically and mentally are key to improving their SWB.

The Vulnerability of International Floating Populations to Sexually Transmitted Infections: A Qualitative Study.

With the rapid development of the global economy, along with globalisation, the health of international floating populations (especially their sexual health) has become a problem that cannot be ignored. This study explored the potential vulnerability of international floating populations to sexually transmitted infections (STIs) from the points of view of society, religion, culture, migration, community environment, and personal behaviours. In-depth exploratory interviews with 51 members of the international floating population living in China were conducted in June and July 2022. A qualitative thematic analysis methodology was used to analyse the content of these interviews. We found that a conservative culture orientated around religion leads to a lack of sex education, resulting in insufficient personal knowledge as well as a lack of the motivation and awareness required to encourage condom use during sexual contact. Additionally, both geographical isolation and reduced social supervision have expanded personal space, which has led to social isolation and marginalisation, in addition to challenges for coping with STI risk. These factors have increased the possibility of individuals engaging in risky behaviours.

Does the immediate reimbursement of medical insurance reduce the socioeconomic inequality in health among the floating population? Evidence from China.

BACKGROUND: Enhancing health intervention for floating populations has become an essential aspect of public health around the world. China launched a policy reform aimed at implementing immediate reimbursement for trans-provincial inpatient treatments. The objective of this study was to investigate the effects of this policy change on socioeconomic inequality in health among the floating population. METHODS: This study used two waves of individual-level data from the China Migrants Dynamic Survey (CMDS) collected in 2017 and 2018 as well as administrative hospital data at the city level. The sample included 122061 individuals and 262 cities. Under a quasi-experimental research design, we built up the framework to employ the generalized and multi-period difference-in-differences estimation strategy. We used the number of qualified hospitals that could provide immediate reimbursement to represent the degree and intensity of the implementation of this policy change. We also calculated the Wagstaff Index (WI) to measure socioeconomic inequality in health. RESULTS: This policy change and income level had a negative joint impact on the health status of floating population (odds ratio = 0.955, P < 0.01), that is, the lower the income, the better the number of qualified hospitals' effect on health improvement. Furthermore, as the number of qualified tertiary hospitals increased, the health inequality would decrease significantly on average at the city level (P < 0.05). In addition, inpatient utilization as well as total expenditure and reimbursement significantly improved after the policy change, and the magnitude of increase was greater in the relatively lower-income group (P < 0.01). Finally, only inpatient spending could obtain immediate reimbursement in the early stage, thus, compared with primary care, these impacts were greater in tertiary care. CONCLUSIONS: Our study revealed that after the implementation of immediate reimbursement, the floating population could obtain greater and more timely reimbursement, which significantly increased its inpatient utilization, promoted health, and reduced the health inequality caused by socioeconomic factors. These results suggest that a more accessible and friendly medical insurance scheme should be promoted for this group.

The interaction effects between exposure to ambient PM2.5 and economic development on the settlement intention for floating population in China.

Limited studies examined the interaction effects between exposure to ambient PM2.5 and economic development on the settlement intention of floating population. We used binary logistic model to examine the association of PM2.5, per capita GDP (PGDP), PM2.5 [Formula: see text] PGDP on the settlement intention. Additive interaction term of PM2.5 and PGDP level was used to investigate their interactive effects. Overall, each one grade increment in annual average PM2.5 was associated with decreased probability of settlement intention (OR = 0.847, 95%CI: 0.811-0.885). The interaction effect between PM2.5 and PGDP on settlement intention was significant (OR = 1.168, 95%CI: 1.142-1.194). The stratified analysis showed PM2.5 exhibits lower settlement intention in the aged 55 years or above, engaged in low-skilled works, and living in the western China. This study indicates that PM2.5-exposed will decrease the settlement intention of floating population. High economic development level can weaken the relationship between PM2.5 and settlement intention. Policymakers should balance the socio-economic development and environmental health and focus on vulnerable population.

Spatial distribution of floating population in Beijing, Tianjin and Hebei Region and its correlations with synergistic development.

Utilizing statistical information from the Seventh National Population Census, statistical yearbook and sampling dynamic survey data, this study examines the distribution characteristics of the floating population in Beijing, Tianjin and Hebei Region as well as the growth trend of the floating population in each region. It also makes assessments using floating population concentration and The Moran Index Computing Methods. According to the study, the spatial distribution of the floating population has a clear clustering pattern in Beijing, Tianjin and Hebei region. Beijing, Tianjin and Hebei region's mobile population growth patterns differ substantially, and the region's inflow population is mostly made up of migrant inhabitants of domestic provinces and inflow of people from nearby regions. Most of the mobile population resides in Beijing and Tianjin, whereas the outflow of people originates in Hebei province. The diffusion impact and the spatial features of the floating population in the Beijing, Tianjin and Hebei area have a constant, positive association, according to the timeline between 2014 and 2020.

Epidemiological characteristics of leprosy in China from 2016 to 2020 / 中华皮肤科杂志

Objective:To analyze epidemiological characteristics of leprosy in China from 2016 to 2020, and to provide a scientific basis for further elimination of leprosy.Methods:Data collation and statistical analysis were conducted on annual reports on leprosy epidemic surveillance in China (excluding Hong Kong, Macao, and Taiwan regions) from 2016 to 2020.Results:From 2016 to 2020, a total of 2 697 new cases of leprosy were reported in China, including 46 (1.71%) children, 894 (33.15%) females, 374 (13.87%) floating people, 2 443 (90.58%) multibacillary cases, and 546 (20.24%) cases of grade 2 disabilities. A total of 203 relapsed cases were reported in the meantime. By the end of 2020, there had been 1 893 registered leprosy cases in China, and the number of cases was 68.62% fewer than that in 2010 (6 032 cases) ; there were 36 (1.2%) counties or cities with a prevalence rate above 1 per 100 000, and 72 (17.73%) new cases suffered from grade 2 disabilities.Conclusion:From 2016 to 2020, the reported incidence and prevalence of leprosy in China steadily decreased year by year, and overall, leprosy was still lowly prevalent.

Trend in incidence of stroke in Nanshan District from 2010 to 2021 / 预防医学

Objective@# To establish a comprehensive health evaluation index system for HIV-infected pregnant women in floating populations, so as to support the elimination of mother-to-child transmission of HIV. @*Methods@# The preliminary framework of the comprehensive health evaluation indicators was constructed based on literature review and focus group discussion. Experts from maternal and child healthcare, clinical medicine and public health were invited to participate in two-round Delphi consultations. The indicators were scored and weighed according to the importance, priority and measurability, and determined according to means and coefficients of variation of scores. The effectiveness of the consultation was evaluated by positive coefficient, authority coefficient and coordination coefficient.@*Results@# Twenty-six experts participated in this study, including 19 women. There were 5 experts aged 30-40 years, 14 experts aged 41-50 years, and 7 experts aged 51 years and over. There were 17 experts with a master degree and above. All experts had vice senior professional titles and above. The positive coefficients in the two rounds of consultations were 96.30% and 100.00%, the authority coefficients were 0.84 and 0.89, respectively. Finally, 4 primary indicators (individuals and families, disease factors, social environment, health service utilization) and 50 secondary indicators were identified, with the coefficients of variation ranging from 0.084 to 0.236 and the coordination coefficients ranging from 0.282 to 0.405 (all P<0.001). Among the secondary indicators, getting antiviral drugs at the place of residence was restricted to floating populations or not (0.780), HIV viral load during pregnancy (0.750), the registration of maternal and childbirth care manuals at the place of residence was restricted to floating populations or not (0.749), and first-trimester registration or not (0.738) had a high weight. @*Conclusion @#This index system can provide the reference for evaluating the health equity of HIV-infected pregnant and lying-in women in floating populations.

Migration characteristics among HIV/AIDS patients reported in Yiwu City from 2016 to 2020 / 预防医学

Objective@#To investigate the migration characteristics and follow-up treatment among HIV/AIDS patients after HIV confirmation in Yiwu City, Zhejiang Province from 2016 to 2020, so as to provide insights into the optimization of the HIV/AIDS control strategy among floating populations.@*Methods@#The reported HIV/AIDS patients' demographics, follow-up and treatment data in Yiwu City from 2016 to 2020 were captured from the HIV/AIDS Prevention and Control Information System of Chinese Disease Control and Prevention Information System. The migration characteristics, antiretroviral therapy and outcomes of HIV/AIDS patients were analyzed after HIV confirmation, and the factors affecting the migration of HIV/AIDS patients after HIV confirmation were identified using a Cox proportional hazard regression model.@*Results@#A total of 1 189 HIV/AIDS patients were enrolled, including 988 men (83.10%) and 806 cases without Zhejiang provincial household registration (67.79%). There were 441 patients (37.09%) migrating out of Yiwu City after HIV confirmation, with a migration rate of 17.73/100 person-years, and there were 366 patients migrating out of Zhejiang Province, with a cross-province migration rate of 30.78%. Among participants without Zhejiang provincial household registration, 395 patients (49.01%) migrated out of Yiwu City, including 337 patients (85.32%) returning to their household registration provinces, which mainly included Yunnan, Sichuan, Guizhou and Hunan. Cox proportional hazard regression analysis showed a high risk of migration among minority ethnic populations (HR=1.375, 95%CI: 1.044-1.811), retires (HR=3.605, 95%CI: 1.771-7.335), students (HR=8.969, 95%CI: 4.095-19.645), patients without Zhejiang provincial household registration (HR=4.545, 95%CI: 3.164-6.529) and patients identified through physical examination of floating populations or employees (HR=1.318, 95%CI: 1.006-1.727), and a low risk among married patients with spouses (HR=0.721, 95%CI: 0.569-0.913) and with an educational level of junior high school and above (HR: 0.428~0.753, 95%CI: 0.280-0.952). Among all floating HIV/AIDS patients, there were 26 cases lost to follow-up (5.90%) and 49 deaths (11.11%). In addition, the proportion of absence of antiretroviral therapy, HIV infection progressing into AIDS patients and failure in HIV inhibition were all greater among floating HIV/AIDS patients than among non-floating patients (P<0.05).@*Conclusions@#A high risk of migration was found among HIV/AIDS patients without Zhejiang provincial household registration, unmarried patients, patients with a low education level, retirees, students, and patients identified through physical examination of floating populations or employees in Yiwu City from 2016 to 2020, and migration does not facilitate the sustainability of antiretroviral therapy and follow-up, which may affect the prognosis of HIV/AIDS.

A National Cross-Sectional Survey Dataset on Common Disease and Influencing Factors of Chinese Internal Migrants in 2017.

This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017. The survey was part of the Chinese Migrants Dynamic Survey, which is an annually conducted large-scale national questionnaire survey on internal migrants. The respondents in the described dataset were migrants and registered local residents aged over 15 years old. A multistage stratified probability-proportional-to-size (PPS) sampling method based on the 2016 annual report data of China Migrant Population was adopted. The questionnaire was designed to collect demographic information of respondents and their family members, intention of migration or settlement, health status, health services accessibility, social integration, and epidemic influencing factors of common diseases, including hypertension, type 2 diabetes, diarrhea, fever, rash, icterus, conjunctival redness, cold, and other illnesses or injuries. The sample population in this survey include 13,998 internal migrants and 14,000 registered local residents from eight domestic cities / prefecture / districts across China. It is the most widely covering and highly representative dataset on common diseases and influencing factors of internal migrants in China. The dataset can be used to study common diseases and influencing factors among floating Chinese population. It provides data support for government to improve healthcare accessibility and the equity of public health services for internal migrants in China.

Identifying factors affecting willingness to participate in floating population health volunteer services by Chinese volunteers based on the theory of the planned behavior expansion model.

China has the world's largest internal migrant population, called the floating population. Compared to local residents, the floating population utilizes different health services and relies heavily on health volunteer services for supplementary services. In this study, the theory of planned behavior model was used to study the willingness of volunteers to participate in floating population health volunteer services. We examined the effects of several factors on willingness to participate and found that attitude and subjective norm, but not perceived behavioral control, have significant predictive effects on willingness to participate in health volunteer services. Furthermore, altruistic values, social incentives, and personality traits not only have significant predictive effects on volunteer participation but also indirectly affect willingness through attitude and subjective norms. These findings help us understand what factors affect volunteers' willingness to provide health services to the floating population and have important implications for mobilizing volunteers for floating population health services.

Prediction models and associated factors on the fertility behaviors of the floating population in China.

The floating population has been growing rapidly in China, and their fertility behaviors do affect urban management and development. Based on the data set of the China Migrants Dynamic Survey in 2016, the logistic regression model and multiple linear regression model were used to explore the related factors of fertility behaviors among the floating populace. The artificial neural network model, the naive Bayes model, and the logistic regression model were used for prediction. The findings showed that age, gender, ethnic, household registration, education level, occupation, duration of residence, scope of migration, housing, economic conditions, and health services all affected the reproductive behavior of the floating population. Among them, the improvement duration of post-migration residence and family economic conditions positively impacted their fertility behavior. Non-agricultural new industry workers with college degrees or above living in first-tier cities were less likely to have children and more likely to delay childbearing. Among the prediction models, both the artificial neural network model and logistic regression model had better prediction effects. Improving the employment and income of new industry workers, and introducing preferential housing policies might improve their probability of bearing children. The artificial neural network and logistic regression model could predict individual fertility behavior and provide a scientific basis for the urban population management.

Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea.

The COVID-19 pandemic and social distancing restrictions have had a significant impact on urban mobility. As micro mobility offers less contact with other people, docked or dockless e-scooters and bike-sharing have emerged as alternative urban mobility solutions. However, little empirical research has been conducted to investigate how COVID-19 might affect micro mobility usage, especially in a major Asian city. This research aims to study how COVID-19 and other related factors have affected bike-sharing ridership in Seoul, South Korea. Using detailed urban telecommunication data, this study explored the spatial-temporal patterns of a docked bike-sharing system in Seoul. Stepwise negative binomial panel regressions were conducted to find out how COVID-19 and various built environments might affect bike-sharing ridership in the city. Our results showed that open space areas and green infrastructure had statistically significant positive impacts on bike-sharing usage. Compared to registered population factors, real-time telecommunication floating population had a significant positive relationship with both bike trip count and trip duration. The model showed that telecommunication floating population has a significant positive impact on bike-sharing trip counts and trip duration. These findings could offer useful guidelines for emerging shared mobility planning during and after the COVID-19 pandemic.

[Social Determinants Affecting Changes in Mental Health of Rural-Urban Migrant Population in Chengdu: An Oaxaca-Blinder Decomposition Analysis].

Objective: To investigate the social determinants that influenced the changes in the mental health of the rural-urban migrant population in Chengdu. Methods: Using data from two cross-sectional surveys, one conducted in 2009 and another, in 2018, of the rural-urban migrant population in Chengdu, we analyzed the social determinants of mental health affecting the rural-urban migrant population in Chengdu by multiple linear regression, and analyzed the contribution of changes in social determinants to the disparity in mental health over a decade using the Oaxaca-Blinder decomposition analysis. Results: This study included 3091 cases of rural-urban migrants in Chengdu, with 965 (31.22%) covered in the survey year of 2009 and 2126 (68.78%) covered in 2018. Multiple linear regression models were established with mental component summary (MCS) as the dependent variable, the social determinants of health as the independent variables, and gender, age, and survey year as covariates. The findings showed that being married ( ß=2.33, P<0.001), drinking 1-2 times per week ( ß=-1.42, P<0.05), illness within four weeks ( ß=-2.57, P<0.001), and hospitalization in the past year ( ß=-1.82, P<0.05), wage arrears ( ß=-1.67, P<0.05), job satisfaction ( ß=1.25, P<0.001), monthly housing costs (housing costs below monthly income: ß=-1.55, P=0.001; housing costs above monthly income: ß=-4.59, P=0.001) and housing condition ( ß=0.23, P<0.05) had significant impact on the MCS of the rural-urban migrant population. The results of the Oaxaca-Blinder decomposition method showed that the MCS disparity between the two surveys was -4.7660 points. With 2018 as the base year, the explainable parts accounted for 15.80%. Being married, decrease in the prevalence of illnesses within four weeks, and increased job satisfaction formed positive contribution to the improvement of the mental health, and increase in the proportion of monthly housing expenses formed negative contribution. Conclusion: Between 2009 and 2018, the mental health of the rural-urban migrant population in Chengdu showed improvement, and changes in marital status, illness within four weeks, job satisfaction, and monthly housing costs contributed to improvements in mental health during the period. Future intervention measures to promote the mental health of the floating population can be developed with the perspective of improving the social determinants of health in mind.

The Impact of Instant Reimbursement of Cross-Regional Medical Services on Hospitalization Costs Incurred by the Floating Population-Evidence from China.

BACKGROUND: The medical cost reimbursement function of medical insurance can reduce the medical burden of individuals and thus improve their medical service utilization level. This study aimed to explore the impact of different cross-regional reimbursement types of medical insurance (instant reimbursement and manual reimbursement) on the hospitalization costs incurred by the floating population. METHODS: The data used in this study was from the 2018 China Migrants Dynamic Survey (CMDS) conducted by the National Health Commission of China. The multiple linear regression model and Propensity Score Matching method (PSM) were used to analyze the impact of instant and manual reimbursement on hospitalization costs. RESULTS: (1) Instant reimbursement and manual reimbursement could significantly reduce the floating population's out-of-pocket proportion of hospitalization costs by 33.2% and 26.9%, respectively; (2) the average proportion and amounts of out-of-pocket hospital costs of instant reimbursement for the floating population were lower than those of manual reimbursement by 6.35% and 19.6%, respectively, and this impact would gradually increase as the flow distance expanded; (3) there was no significant impact of instant reimbursement on the total hospitalization costs relative to manual reimbursement. CONCLUSIONS: Our study suggests that instant reimbursement can effectively reduce the out-of-pocket medical burden of the floating population at the individual level, but it will not have an obvious impact on the total hospitalization costs at the social level.