Impact of climate change on human health: evidence from riverine island dwellers of Bangladesh.

This study aims to explore the impact of climate change on health, including local adaptation strategies. A mixed-method approach has been used in this study. The results reveal that increasing the frequency of flooding, severity of riverbank erosion and drought, and rising disease outbreak are the highest indicators of climate change perceived by riverine island (char) dwellers, which is similar to the observed data. It also uncovers, approximately all respondents encounter several health-related issues during different seasons where prevailing cold and cough with fever, skin diseases, and diarrhoea are the leading ailments. Several adaptation strategies are accommodated by char inhabitants in order to enhance resilience against the climate change health impacts, but the paucity of money, disrupted communication, lack of formal health-care centre are the most obstacles to the sustainability of adaptation. This research recommends that healthcare-associated project should be performed through proper monitoring for exterminating char dwellers' health issues.

Climate change induced human displacement in Bangladesh: Implications on the livelihood of displaced riverine island dwellers and their adaptation strategies.

In Bangladesh, many people are being displaced in riverine island (char) areas every year due to climate change and its associated natural catastrophes. This study intends to investigate the impact of climate change on internally displaced char people's lives and livelihoods along with local adaptation strategies and hindrances to the coping mechanism. Data have been collected from 280 internally displaced households in two sub-districts. A mixed-method approach has been considered combined with qualitative and quantitative methods. The results disclose that frequent flooding, riverbank erosion, and crop loss are the leading causes for relocation, and social relations are impeded in the new place of residence. Increasing summer and winter temperatures, recurrent flooding, severity of riverbank erosion, and expanding disease outbreaks are also important indicators of climate change identified by displaced people, which are consistent with observed data. This study also reveals that almost all households come across severe livelihood issues like food shortage, unemployment and income loss, and housing and sanitation problems due to the changing climate associated with disasters in the former and present places. In response to this, the displaced people acclimatize applying numerous adaptation strategies in order to boost the livelihood resilience against climate change. However, fragile housing, financial conditions, and lack of own land are still the highest impediments to the sustainability of adaptation. Therefore, along with the government, several organizations should implement a dynamic resettlement project through appropriate scrutiny to eradicate the livelihood complications of internally displaced people.

Sustained Effects of Government Response on the COVID-19 Infection Rate in China: A Multiple Mediation Analysis.

Many scholars have considered the relationship between the government response to COVID-19, an important social intervention strategy, and the COVID-19 infection rate. However, few have examined the sustained impact of an early government response on the COVID-19 infection rate. The current paper fills this gap by investigating a national survey performed in February 2020 and infection data from Chinese cities surveyed 1.5 years after the outbreak of COVID-19. The results suggest that the Chinese government's early response to COVID-19 significantly and sustainedly reduced China's COVID-19 infection rate, and that this impact worked through risk perception, the adoption of protective action recommendations (PARs), and the chain-mediating effects of risk perception and the adoption of PARs, respectively. These findings have important practical value. In demonstrating how government response and infection rate at the macro level are connected to the behaviour of individuals at the micro level, they suggest feasible directions for curbing the spread of diseases such as COVID-19. When facing such public health emergencies, the focus should be on increasing the public's risk perception and adoption of PARs.

Have Elderly Individuals in Urban China Been Satisfied with Nursing Services during the COVID-19 Pandemic?

Based on the customer satisfaction index model, we constructed an elderly care service satisfaction model that includes 5 latent variables and 16 observed variables. To analyze the degree of satisfaction of elderly individuals in nursing homes, we used structural equation model (SEM) to test the nursing service elderly satisfaction model. With the help of AMOS 22.0 software, we analyzed the degree of model fit and the behavioral relationships between the variables that affect the path. We found that the satisfaction of Chinese urban elderly individuals in nursing homes is at a moderate level, which is lower than the quality expected by elderly individuals. The customer satisfaction index model can be applied to assess satisfaction with nursing services. Furthermore, perceived quality and value have a significant impact on satisfaction.

Influencing Factors of Understanding COVID-19 Risks and Coping Behaviors among the Elderly Population.

It is known that the elderly population has weak immune functioning and is a susceptible and high-risk group with respect to the current coronavirus disease 2019 (COVID-19) epidemic. In this study, to understand the influencing factors of COVID-19-related risks and coping behaviors of elderly individuals with respect to COVID-19 and to provide a basis for taking corresponding protective measures, a questionnaire survey was applied to an elderly population. One-way analysis of variance (ANOVA) and linear regression analysis were used to explore the influencing factors of the level of understanding of COVID-19 risks among the elderly population. Additionally, the chi-square test and logistic regression analysis were used to explore the influencing factors of the elderly population's protective behaviors against COVID-19. This study found: (1) The sex, age, and self-care ability of elderly individuals were significantly correlated with their level of understanding of COVID-19, and that those who were female, were of a younger age, or had better self-care ability had higher levels of understanding; (2) The sex, place of residence, and level of understanding of COVID-19 among the elderly individuals were significantly correlated with their protective behaviors, e.g., those who were women, had high levels of understanding, and lived in cities were more likely to have good behaviors; (3) Elderly individuals' assessments of COVID-19 information provided by the government were significantly correlated with their protective behaviors-those who had a positive evaluation of relevant information provided by the government were more likely to develop protective behavior. The conclusions of this study show that it is crucial to implement COVID-19 prevention and control measures in the elderly population. Society, communities, and families need to increase their concerns about the health and risk awareness of the elderly individuals.

Factors Influencing Rumour Re-Spreading in a Public Health Crisis by the Middle-Aged and Elderly Populations.

Due to discrimination and media literacy, middle-aged and elderly individuals have been easily reduced to marginalized groups in the identification of rumours during a public health crisis and can easily spread rumours repeatedly, which has a negative impact on pandemic prevention and social psychology. To further clarify the factors influencing their behaviours, this study used a questionnaire to survey a sample of 556 individuals in China and used multiple linear regression and analysis of variance to explore influencing factors during the coronavirus disease 2019 (COVID-19) pandemic. We found that, first, in the COVID-19 pandemic, middle-aged and elderly adults' willingness to re-spread rumours is positively related to their degree of believing rumours and to personal anxiety and is negatively related to their rumour-discrimination ability and to their perception of serious consequences to rumour spreading. Second, the degree of believing rumours plays an intermediary role in the willingness to re-spread rumours. It plays a partial mediating role in the path of anxiety's influence on behaviour, suggesting that an anxious person will spread a rumour even if he or she does not have a strong belief in the rumour. Third, interpersonal communication has a greater credibility and a greater willingness to re-spread than does mass communication. This suggests the importance of increasing public knowledge expertise and of reducing public panic. This also has important implications for the future design of public health policies.