Social integration, solidarity, and psychological health of internally displaced persons in Cameroon: Exploring the role of community satisfaction.

Background/Introduction: Conflict-induced displacement continue to be a pressing public policy concern due to the adverse effects on the well-being of internally displaced persons (IDPs). Understanding the integration process of these individuals, particularly the role of solidarity and social integration in fostering a sense of belonging and improving their community experiences and psychological well-being, remains unclear. This study investigates the role of community satisfaction in the relationship among social integration, solidarity, and psychological health of IDPs in Cameroon. Methods: Cross-sectional data from 428 displaced individuals in the Ntui subdivision, Cameroon, were analyzed using structural equation modeling (SEM). This technique tested four latent variables: social integration, solidarity, community satisfaction, and psychological health. Results: The results show a direct association between solidarity and both community satisfaction (ß = 0.282; p < 0.001) and psychological health (ß = 0.137; p < 0.01). Community satisfaction also has a direct relationship with the psychological health of the IDPs (ß = 0.292; p < 0.001). An indirect effect of solidarity on psychological health through community satisfaction was observed (ß = 0.084 (SE = 0.025, CI = [0.047, 0.129], p < 0.001)). However, no mediational effect of community satisfaction was found on the association between social integration and psychological health. The model accounted for 7% of the variance in community satisfaction (R2 = 0.07) and 20% of the variance in psychological health (R2 = 0.20). Conclusion: The findings indicate a strong sense of solidarity among the displaced persons in the studied communities in Cameroon, which promotes their psychological health via community satisfaction. As such, interventions should aim to foster solidarity among displaced persons to enhance their community experiences and psychological health.

Factors associated with COVID-19 vaccine uptake among foreign migrants in China.

Background/Purpose: The COVID-19 outbreak created unique policy challenges for vaccinating special groups like migrants. As part of sustainable development goals, the equitable distribution of the COVID-19 vaccine can contribute to ensuring health for all. This study examined COVID-19 vaccine uptake among foreign migrants in China based on sociodemographics, cultural beliefs, past vaccine behaviors, and psychosocial factors. Design: An online cross-sectional survey was conducted among foreign migrants in mainland China via social media platforms from 21 November through 20 December 2021. Bivariate (unadjusted odd-ratio) and multivariate logistic regression analyses were performed to establish the correlates of COVID-19 vaccine uptake. Result: Surveyed foreign migrants that are culture neutral (AOR: 2.5, CI: 95%, 1.02-5.90, p = 0.044), willing to pay for vaccination (AOR: 2.27, CI: 95%, 1.18-3.98, p = 0.012), believe in vaccine efficacy (AOR: 3.00, CI: 95%, 1.75-5.16, p < 0.000), have poor psychological health (AOR: 1.96, CI: 95%, 1.14-3.38, p = 0 0.014), and have higher perceived seriousness of COVID-19 (AOR: 2.12, CI: 95%, 1.26-3.57, p = 0.005) are more likely to receive COVID-19 vaccine. Those migrants with a history of declining vaccination (AOR: 0.34, CI: 95%, 0.18-0.65, p = 0.000) and middle-income earners $1701-3500 (AOR: 0.43, CI: 95%, 0.23-0.82, p = 0.010) are less likely to receive the COVID-19 vaccine. Conclusion: This study brings a unique perspective to understanding vaccine behavior among international migrants in China. There is an urgent call from the World Health Organization and countries for complete vaccination and efforts to improve vaccine coverage. However, fewer studies have been conducted globally on the vaccination of migrant populations. The current study provides empirical information to increase the knowledge of the correlates of vaccine behavior among immigrants in countries around the globe. Future studies should conduct cross-country comparisons to understand the factors associated with increasing vaccination rates among immigrant populations to formulate a strong policy to increase vaccine coverage among immigrant populations across countries.

Why should I vaccinate? The role of mindfulness and health-protective behaviours during the COVID-19 pandemic.

Objective: Health maintenance of the general public through vaccination is a significant component of controlling the COVID-19 pandemic. This study aims to examine the perception of Nigerians toward the COVID-19 vaccine. Methods: Informed by the Extended Parallel Process Model (EPPM), 793 Nigerian participants completed a cross-sectional self-administered online survey to assess: (1) their perception of COVID-19 based on fear-mongering information on social media (2) the potential relationship between threat perception, efficacy, and fear associated with the COVID-19 vaccine, vaccine hesitancy, and attitudes toward the decision to uptake the vaccine using structural equation modeling (SEM) analysis, and (3) we further employed the use of the hierarchical regression analysis to test the moderating effect of mindful critical thinking between vaccine hesitancy and attitudes toward vaccines. Results: Most participants (65.7%) intend to uptake the COVID-19 vaccine. However, many people did not fear the disease (19.2%). Threat perception and efficacy were associated with a decision to uptake the COVID-19 vaccine via the mediation of attitudes toward vaccines. Previous vaccine hesitancy has no relationship with uptake decisions. The hierarchical regression analysis showed that participants exhibiting high critical thinking mindfulness were more interested in taking the vaccine. Conclusions: The findings of this study demonstrate that EPPM constructs are effective predictors of the public's decision to uptake the COVID-19 vaccine. This research highlights the theoretical and practical implications.

COVID-19 smart surveillance: Examination of Knowledge of Apps and mobile thermometer detectors (MTDs) in a high-risk society.

Background: Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring. Materials and Methods: In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making. Results: The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze. Conclusion: The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.

Environmental conditions, mobile digital culture, mobile usability, knowledge of app in COVID-19 risk mitigation: A structural equation model analysis.

Introduction: The mobile digital culture (MDC) supports individual lives, communities, and real-time organizational surveillance during COVID-19 emergencies. Hence, the study examined the advancement in smart health devices evidence in smartphone apps technologies in surveillance, control, and tracking potential virus areas among high-risk populations. Objective: The study explored how environmental condition and MDC mediates between knowledge of App and mobile usability in the prevention of COVID-19 infection in high-risk areas. Methods: Using the concept of UTAUT, the study conceptualized that mobile usability, MDC, knowledge of App and environmental condition, are essential for COVID-19 mitigation. A cross-sectional method was adopted through an online survey to assess data from n = 459 mobile users. The association of the study models was appraised through structural equation models (Amos v.24.0). Result: We found mobile usability, knowledge of App, and MDC were statistically significant to COVID-19 mitigation. Environment condition as mediator had no effect in the study models. However, moderating effect of MDC shows a negative influence on the association between COVID-19 mitigation and knowledge of apps. Conclusion: Future policies should consider the development of mHealth technology to improve end-user experience. Also, future policies should entail data privacy to reduce the infringement of data collected. This approach will lead to a confidential, high acceptance of usability of mHealth apps infectious disease prevention.

Expanding telemedicine to reduce the burden on the healthcare systems and poverty in Africa for a post-coronavirus disease 2019 (COVID-19) pandemic reformation.

The coronavirus disease 2019 (COVID-19) global public health emergency, has exposed the fragility of health systems. Access to healthcare became a scarce commodity as healthcare providers and resource-poor populations became victims of the novel corona virus. Therefore, this study focuses on Africa's readiness to integrate telemedicine into the weak health systems and its adoption may help alleviate poor healthcare and poverty after COVID-19. We conducted a narrative review through different search strategies in Scopus on January 20, 2021, to identify available literature reporting implementation of various telemedicine modes in Africa from January 1, 2011 to December 31, 2020. We summarized 54 studies according to geographies, field, and implementation methods. The results show a willingness to adopt telemedicine in the resource-poor settings and hard-to-reach populations, which will bring relief to the inadequate healthcare systems and alleviate poverty of those who feel the burden of healthcare cost the most. With adequate government financing, telemedicine promises to enhance the treating of communicable and non-communicable diseases as well as support health infrastructure. It can also alleviate poverty among vulnerable groups and hard-to-reach communities in Africa with adequate government financing. However, given the lack of funding in Africa, the challenges in implementing telemedicine require global and national strategies before it can yield promising results. This is especially true in regards to alleviating the multidimensionality of poverty in post-COVID-19 Africa.