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Despite an increasing interest in how adoptive parents deal with situations appraised as stressful, there is a lack of research regarding adoptive parents' adjustment to the challenges posed by the prolonged COVID-19 pandemic. The current study explores similarities and differences between adoptive and non-adoptive mothers in terms of risks (i.e., COVID-19-related stress) and individual (i.e., sense of coherence [SOC]), couple (i.e., partner's support), parent–child (i.e., parent–child relationship satisfaction), and social (i.e., friends' support) resources in the face of the prolonged COVID-19 pandemic. Specifically, the present study was aimed at predicting which variables discriminate more effectively between the two groups. Participants were 445 Italian mothers (40.9% adoptive mothers), who were asked to fill in an anonymous online survey between May 2021 and October 2021. Results showed that adoptive and non-adoptive mothers reported different resilience resources to face the stressors posed by the health emergency. Specifically, COVID-19 traumatic stress symptoms, parent–child relationship satisfaction, and SOC were found to contribute most in discriminating between the two groups. Findings are discussed in relation to future research developments and practical implications. [ FROM AUTHOR] Copyright of Family Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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BACKGROUND: A safe and effective vaccine against COVID-19 has become a public health priority. However only a few studies have been conducted to investigate the post vaccination symptoms and awareness among the public about the vaccination. This study aimed to assess the COVID-19 vaccination literacy and post vaccination effects among the vaccinated population in India. METHODOLOGY: A descriptive cross-sectional study was conducted with a convenience sample of the adult population in India. Data was collected through an online anonymous questionnaire. We used Google forms an online survey platform, to publish the questionnaire and manually generated the answer URL link to the eligible candidates. RESULTS: A total of 533 responses were collected. Among the participants, 463 (86.90%) were aged between 18 and 40 years old. Of which 289 (54.2%) were male and 244 (45.8%) were female participants. Among the respondents 374 (70.2%) completed both the doses of vaccine. 498 (93.4%) participants took the vaccination willingly and 35 (6.6%) participants were forced to get vaccinated. Body ache 327 (61.4%), Fever 307 (57.6%), headache 211 (39.6%) and alopecia 70 (14%) were the most commonly reported post vaccination symptoms. CONCLUSION: Overall, our study demonstrated that there was a high willingness to accept COVID-19 vaccine in India and the rate of infection with COVID-19 has been reduced after vaccination which proves that the vaccine is efficient. The rate of people getting hospitalized due COVID-19 has been drastically reduced. Cold, cough, mild hypersensitivity reactions were also been reported as post vaccination symptoms and no serious adverse effects were reported so far due to vaccination which proves that the vaccine is safe. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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The study aims to analyze pandemic life insurance companies faced matter of concerning to extension of customers of unit linked insurance policies during the COVID 19. Unit-linked life insurance product has become a major contributor to the company's profits. This study aims to investigate the factors that influence insurance awareness and perceived value and their impact on customer retention with the COVID 19 pandemic as a moderator. Design/methodology/approach. This study conducted an online survey and total of 230 completed questionnaires were collected from customers in Jakarta. The data was analyzed using SmartPLS software. Findings – Results indicate that insurance awareness, perceived value, and COVID 19 pandemic significantly influence customer retention. Insurance agents, psychological factors and financial literacy significantly influence insurance awareness. E-service quality significantly affects perceived value. The interaction between the COVID 19 pandemic and insurance awareness and the interaction between the COVID 19 pandemic and perceived value did not significantly affect customer retention. Originality/value – The study contributes to the marketing literature by proposing a conceptual model: the life insurance customer retention model. The findings offer practical guidance to life insurance companies to keep the customer loyalty. [ FROM AUTHOR] Copyright of Journal of Social Science (2720-9938) is the property of Ridwan Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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INTRODUCTION: Prolonged COVID-19 symptoms is one of the major challenges in the management of the disease. As the number of COVID-19 cases increased drastically, the number of those with prolonged symptoms are also accumulating, either diagnosed or undiagnosed. This study aimed to identify the long-term clinical symptoms of COVID-19 and the associated risk factors among Malaysian populations. MATERIALS AND METHODS: A cross-sectional survey using Google Form link for distribution of a selfadministered questionnaire was shared and disseminated via online platforms such as Facebook, WhatsApp, and Telegram. The inclusion criteria included those with a history of positive COVID-19 from 1st March 2020 until one month prior to the survey, and age above 18 years old. RESULTS: A total of 215 Malaysians participated, with 74% female respondents and a mean age of 36.4 years. Twenty-seven (12.6%) were asymptomatic when diagnosed with COVID-19. More than half (56%) still had symptoms at one-month of diagnosis, while 39% and 18% still had symptoms at the second and third months respectively. The most reported symptoms were lethargy (45.1%), difficult concentrating (22.3%) and cough (21.9%). Female, chronic lung disease and hypertension were significantly associated with prolonged symptoms at one month of COVID-19 infection. CONCLUSIONS: Lethargy, difficulty to concentrate and cough were the most common symptoms reported months after COVID-19 diagnosis. Apart from treating acute conditions, physicians should also be able to recognize and manage those symptoms. The findings of this study will help policymakers better grasp the social and economic consequences of long-term post-COVID-19 symptoms. [ FROM AUTHOR] Copyright of IIUM Medical Journal Malaysia is the property of International Islamic University Malaysia, Faculty of Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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BACKGROUND: Owing to the impact of the COVID-19 pandemic, work environments and systems, as well as occupational health measures or activities that fall within our research field, are constantly changing. It is necessary to assess the impact of these changes on the physical and mental health of workers. OBJECTIVE: To assess how occupational health measures affect the health of workers, we conducted a baseline, longitudinal internet-based survey among Japanese workers in October 2021 and additionally scheduled 2 follow-up surveys for 2022 and 2023. We describe the details of the protocol of the work systems and health internet research (WSHIR) study, provide an overview of the results of the baseline survey, and discuss the study procedures and data used in the study. METHODS: This prospective cohort study was conducted online among internet monitors. The baseline survey was conducted from October 1 to 7, 2021. This study targeted those who were working and between the ages of 20 and 69 years. A total of 5111 respondents who passed the screening survey and proceeded to the main survey were enrolled according to collection units organized by sex and age. For the screening and main surveys, the questionnaire consisted of 9 and 33 items with 9 and 55 questions, respectively. Consistency and completeness checks were performed after the questionnaires were submitted. We compared basic characteristics, such as sex, age group, educational background, and marital status, among all participants, including those who withdrew from the analysis. RESULTS: Of the 5111 initial survey respondents, 571 (11.2%) were considered fraudulent. The data of the remaining 4540 (88.8%) participants (2273, 50.1%, males; 2267, 49.9%, females) included in the analysis were well balanced across participant sex and age groups according to the sampling plan because there was no significant difference by sex and age group using the chi-square test for checking the distribution bias of the participants (P=.84). Compared to female participants, male participants tended to be more likely to be managers and supervisors (323, 14.2%, males; 86, 3.8%, females), to work in a secondary industry (742, 32.6%, males; 357, 15.7%, females), and to have an annual income of ≥5 million yen (976, 42.9%, males; 429, 18.9%, females). For the evaluation of a psychological indicator, Kessler 6 (K6) score, by sex and age group, the characteristics of the score distribution of the included participants were similar to those reported in previous studies. CONCLUSIONS: This study presents a protocol and overview of the results of an internet-based occupational health survey of workers. Using the results of this survey, we hope to evaluate the changes in occupational health activities and their impact on workers' health while controlling for the COVID-19 pandemic.
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Background: The World Health Organization (WHO) designated the coronavirus disease (COVID-19) a pandemic in March 2020. Prevention and control measures were implemented worldwide to limit the spread of the disease, and the effectiveness of these measures depend on the degree of awareness and adherence of the populations. This study was conducted to determine the current awareness levels and health practices of the Saudi Arabian population and to assess how much the education programs had improved the public awareness levels and health practices. Methods: This cross-sectional study was conducted in Saudi Arabia from November 2020 to May 2021 and enrolled 1062 participants. The current knowledge levels, attitudes, and practices of the Saudi Arabian population were assessed based on an online questionnaire survey. Results: The mean knowledge score was 29.36 ± 3.80;and 53.7%, 45.2%, and 1.1% of the participants had high, moderate, and low knowledge levels, respectively. The knowledge score was significantly related to the education level (p<0.001). The mean attitude score was 10.28 ± 2.56 and 74.9% of the participants had a high attitude level. The mean practice score was 3.67 ± 0.595, with significant differences that were related to the female sex (p=0.005) and younger age groups (p<0.05) and between those aged 30-34 years and those aged 35-39 or 40 years and older Conclusion: The participants exhibited a high level of public awareness in all sub-scales of knowledge, practices, and attitudes for the prevention of COVID-19. The overall knowledge levels, attitudes, and practices of the Saudi Arabian population had considerably improved since the beginning of the pandemic. [ FROM AUTHOR] Copyright of Middle East Journal of Family Medicine is the property of Medi+WORLD International Pty. Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.