Neighbourhood governance, citizen initiatives and media application: Investigating community group buying during Shanghai's COVID lockdown

Academic debates highlight bureaucratic steering of crisis governance in authoritarian China. Nonetheless, the crisis response from the bottom up has been less represented. To address this lacuna, we explore how citizens initiate the crisis response in the neighbourhood by investigating Community Group Buying (CGB) during the 2022 pandemic lockdown in Shanghai. We qualitatively analyze the narratives of Chinese stakeholders, to get insight into the dynamics, components and implications of CGB. This study indicates that facing urgent needs and the failure of institutional response system, community residents leveraged social media to bond together to purchase essentials in bulk during the lockdown. The components of CGB involve: constructing online interactive spaces, creating community conventions, forming leadership, optimizing CGB procedures, legitimizing CGB by social media promotion. CGB favoured neighbourhood ties and advanced civic participation and increased the reciprocal interaction of the state and society and the responsiveness of policy practitioners to public demands during crises. However, local disagreements eroded volunteerism and citizens' initiatives in neighbourhood governance to some extent. Our study will not only deepen global audiences' understanding of spontaneous neighbourhood governance in authoritarian China, but also contribute neighbourhood-level solutions for responding to the future crises globally.

Collaborative Governance of Public Health: A Cultural and Ethical Perspective on Predicting Citizens' Trust in Public Health Services During Medical Emergencies

Over the years, citizens' expectations of the healthcare sector have increased, especially after the sudden outbreak of COVID-19. Additionally, citizens are becoming more conscious of having a healthier lifestyle based on several environmental and economic issues prevailing worldwide. Hence, empirically testing the predictors of providing excellent public healthcare services and enhancing the resultant citizens' trust in such services is of utmost significance. Simultaneously, the critical role of healthcare workers' capacity in providing quality services to patients in public health institutions and improving healthcare services to develop citizens' trust needs has been considered in this study. Based on a quantitative survey, the current study collected data from 460 individuals regarding three collaborative governance practices and resultant improved public healthcare services. The results revealed the significance of all three collaborative governance of public health practices. Citizen participation was the most impactful, followed by democratic accountability and procedural legitimacy. The study results are valuable to practitioners, policymakers, healthcare service providers, and governments. Among the recommendations are that collaborative governance practices should be developed, the healthcare system should be decentralized to provide the best services to citizens, and public healthcare workers' capabilities should be improved by providing proper training. © 2023, Florida Gulf Coast University. All rights reserved.

Opportunities for K-8 Students to Learn Statistics Created by States' Standards in the United States

Statistical literacy is key in this heavily polarized information age for an informed and critical citizenry to make sense of arguments in the media and society. The responsibility of developing statistical literacy is often left to the K-12 mathematics curriculum. In this article, we discuss our investigation of K-8 students' current opportunities to learn statistics created by state mathematics standards. We analyze the standards for alignment to the Guidelines for the Assessment and Instruction in Statistics Education (GAISE II) PreK-12 report and summarize the conceptual themes that emerged. We found that while states provide K-8 students opportunities to analyze and interpret data, they do not offer many opportunities for students to engage in formulating questions and collecting/considering data. We discuss the implications of the findings for policy makers and researchers and provide recommendations for policy makers and standards writers.

Stress and coping among elderly during the COVID-19 pandemic in Sulaimanya city in Kurdistan region of Iraq

This study aimed to find out the level of stress and coping methods among elderly in Sulaimanya city during the pandemic COVID-19. Through the snowballing sampling method, 394 elders were included to this study. After validation, two scales were used in this study;stress subscale from Depression, Anxiety and Stress Scale (DASS-21) and a culture-bound scale for determining coping methods. The results of this study showed that participants experienced a mild level of stress. Male participants, elders who live with their family, unvaccinated elders, physically passive elders have had higher stress level than female, elderly home, vaccinated, physical active elders. The findings also indicated that spiritual connection was the most common coping method used by the sample. Results of this study are the first and foremost way to share elder's unexpressed messages;it also can be a way for verbalizing their unspoken feelings. These results may also inform the elder's caregivers that elder's stress level and illness anxiety was not very high, strengthening their social support and spiritual connection may help them to reduce their distress into a lesser degree.

COVID-19 and the ageing immune system in an elderly patient: a case report

Background: The severity of COVID-19 infection has an increasing trend in the elderly, which contributes to the high morbidity and mortality rates in this population. Aging itself is a prominent risk factor for severe disease and death from COVID-19. Case Description: This case report a 71-year-old woman who complained of shortness of breath for 3 days before being admitted to the hospital. Bilateral consolidation and increased bronchovascular pattern were found on chest radiograph, and a positive SARS-COV2 nasopharyngeal swab PCR test result was noted. This patient was diagnosed with confirmed severe manifestation of COVID-19, community-acquired pneumonia and type 1 respiratory failure, as well as type II diabetes mellitus and suspicion of acute gastritis. The results of the geriatric status assessment were moderate functional status, risk of malnutrition, and moderate risk of deep vein thrombosis (DVT). This patient underwent treatment in accordance with the COVID-19 protocol along with management for geriatric status improvement. The patient was given permission to return home after 14 days of treatment, during which time her health had improved and her functional status had changed to moderate dependency. During follow-up, the patient continued to receive therapy. She is still being observed and future evaluations will be conducted. Conclusion: The increased susceptibility of the elderly to COVID-19 infection is caused by various factors. A burden of death and long-term disability brought on by this pandemic may be lessened by new or modified therapies that target aging-associated mechanisms. Therefore, COVID-19 case management in this population should be done with a comprehensive approach.

The Impact of COVID-19 Pandemic on Population Mobility in the Czech Republic and Slovakia

In this scientific paper, the authors address the issue of mobility and the spread of COVID-19, as well as the impact of the COVID-19 pandemic and changes in the mobility of the population of the Czech Republic and Slovakia in 2020. The goal of the study is to determine whether the increase in the number of positive cases of COVID-19 and the associated increase in deaths influences changes in various categories of population mobility at the regional level in selected countries. The aim of the work is to empirically assess the impact of the first year of the pandemic on the mobility of the population. To achieve this, data on population mobility obtained from Google Statistics, together with information on the increase in the number of positive cases and the number of deaths caused by COVID-19 from both countries, were combined. The paper interprets and evaluates the results achieved, providing a picture of the course of the pandemic in the territories of the Czech Republic and Slovakia. © 2023 Jozef Majerčák et al.

Citizen empowerment through smart surveillance: evidence from Indian smart cities

PurposeCitizens often perceive surveillance by government authorities as oppressive and, hence, demonstrate reluctance in value co-creation from such services. This study aims to investigate the challenges and benefits of citizen empowerment through technology-driven surveillance or "smart surveillance.”Design/methodology/approachGuided by Dynamic Capability theory, the authors conduct in-depth interviews with officers in-charge of surveillance in smart cities. Given the contemporary advancements, this approach allows a retrospective and real-time understanding of interviewees' experiences with smart surveillance.FindingsThe authors develop five propositions for citizen empowerment through smart surveillance to summarize the findings of this study.Research limitations/implicationsThis study advances the relevance of Dynamic Capability in public administration.Practical implicationsSmart city authorities and policymakers may leverage the insights provided in this study to design appropriate policies for smart surveillance.Originality/valueThe authors find that factors such as digital technology and infrastructure, information management, skill divide and perceived return on investment may influence citizen empowerment through smart surveillance.

Low back pain, lower physical activity, and loneliness associated with decreased frequency of going out during COVID-19 in Japanese older adults

Background: This study investigated the association of frequency of going out with physical activity, low back pain, and loneliness among urban Japanese community-dwelling older adults affected by the coronavirus disease 2019 pandemic. Methods: This cross-sectional study recruited older adults aged 65 and over residing in apartment buildings in an urban area of Japan as participants. The questionnaire comprised items on participants' frequency of going out, musculoskeletal pain, physical activity, mobility, loneliness, and sociodemographic characteristics. Multiple logistic regression analysis was performed to explore the associations of decreased frequency of going out (less than once a week) during the pandemic with musculoskeletal pain, physical activity, and loneliness after controlling for age, sex, living alone, comorbidity, and social activity as confounding factors. Results: This study analyzed 236 older adults (mean age: 75.5 years;females 54.2%) whowent out more than two to three days a week before the pandemic. Participants who went out less than once a week during the pandemic (14%) had more arthritis than those who went out more. They also had a higher prevalence of reduced physical activity, low back pain, gait disability, and loneliness. Additionally, decreased frequency of going out was associated with lower physical activity [adjusted odds ratio (OR) = 3.91, 95% confidence interval (CI): 1.78-8.61], low back pain (OR = 2.79, 95% CI: 1.08-7.24), and loneliness (OR = 1.50, 95% CI: 1.14-1.98). Conclusions: This study indicated that reduced physical activity, loneliness, and low back pain are associated with a decreased frequency of going out during the pandemic among older adults.

Impact of infodemic on older people mental health during the COVID-19 pandemic

Background: The COVID-19 pandemic has had a significant impact on the mental health of older people. One concern is the exposure to a lot of pandemic-related information without any evidence-based background through the media and social networks. This study aimed to examine the effect of exposure to such information on the mental health of older people. Methods: The study is a cross-sectional correlational study. Sampling was focused on selecting older people through a systematic sample according to a random starting point and with a fixed, periodic interval, between late 2020 and early 2021, with a total of 200 participants age above 60 considered as older people. Results: We found that a significant percentage of older people had a high level of clinical symptoms/distress, according to the General Health Questionnaire (GHQ) scales. These results show that being exposed COVID-19 information from the media during the pandemic is a risk predictor for mental health/distress, GHQ-28 scores, (OR ExpB = 2.11, p =0.001). Similar results were found for Media Info (OR ExpB = 1.37, p =0.008). For each point increase in media information, the risk for general mental health problems increases 1.37 times. Conclusion: Through the results it was clear that older people are at risk of mental health problems, and being exposed to the infodemic increased this risk significantly, as well as being exposed to media where elevated risk of death from SARS-CoV-2 for older people was reported.

iAssist: An online wellness platform to elevate the physical and mental health of the elderly

The physical and mental health of older adults is a critical issue that is often overlooked. With the recent increase in the number of people infected with the new variants of coronavirus, we are facing several problems, including a dearth of high-quality medical care. iAssist aims to be a platform that primarily focuses on the social benefit of promptly delivering medical aid to the elderly in our nation. It enables a variety of functions, such as doctor appointments, medicine orders, and lab appointments under one roof, with the goal of assisting caregivers, such as family members and healthcare professionals. Additionally, it offers a chatbot component that uses a social media messaging service, to inform users of new developments and assist in swiftly answering user questions. The technology stack used in iAssist makes the platform efficient and user-friendly for everyone involved. © 2022 IEEE.

Death risk among COVID-19 patients with diabetes mellitus

Deaths from COVID-19 are increasing in patients with comorbidities. One of the most common comorbidities is diabetes mellitus. The researchers wanted to see how having diabetes affected the mortality rate of COVID-19 participants. This investigation is a case control observational analytical study. Different types of people, called "cases", and "controls", complete the research sample. Each group had 68 responders, for a grand total of 136. Medical records from COVID-19 patients treated at Airlangga University Hospital, Surabaya, between March 2020 and September 2021 serve as the study's secondary data source. The purpose of this study's data analysis is to calculate an odds ratio. Patients with COVID-19 with concomitant diabetes mellitus had an increased risk of death, and this risk increased with age, gender, and COVID-19 symptoms. In contrast, education, occupation, and laboratory results were not significantly related to mortality among COVID-19 individuals with concomitant diabetes mellitus (GDA status). The results of this study show that COVID-19 patients with concomitant diabetes mellitus are at a higher risk of death if they are over the age of 65, if they are male, and if they have severe symptoms.

Storytelling and Deliberative Play in the Oregon Citizens' Assembly Online Pilot on COVID-19 Recovery

This article draws on the deliberative play framework to examine empirical examples of storytelling in an online deliberative forum: The Oregon Citizen Assembly (ORCA) Pilot on COVID-19 Recovery. ORCA engaged 36 citizens in deliberation about state policy through an online deliberative process spanning seven weeks. Drawing on literature on small stories in deliberation, we trace stories related to a policy proposal about paying parents to educate children at home. Our analysis demonstrates that storytelling activities accomplish aspects of deliberative play through introducing uncertainty, resisting premature closure, and promoting an "as if" frame that allows groups to explore the scope and implications of proposals. Forum design influences interaction and our analysis suggests that technology use and timing are key design features that can facilitate or inhibit deliberative play. [ FROM AUTHOR] Copyright of American Behavioral Scientist 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.)

Space-time risk clusters of COVID-19 in a tourism area in the northeastern Brazil: an epidemiological overview after two years of pandemic

The world is facing a serious viral infection caused by the new Severe Acute Respiratory Syndrome Coronavirus 2. We aimed to evaluate and map the high-risk clusters of COVID-19 in the State of Alagoas, a touristic area in northeastern Brazil, after two years of pandemic by a population-based ecological study, using COVID-19 cases reported in the State of Alagoas, between March, 2020 and April, 2022. We performed a descriptive and statistical analysis of epidemiological data. We then map high-risk areas for COVID-19, using spatial analysis, considering the incidence rate by municipality. 297,972 positive cases were registered;56.9% were female and 42.7% aged between 20 and 39 years old. Men (OR = 1.59) and older than 60 years old (OR = 29.64) had a higher risk of death, while the highest incidence rates of the disease occurred in the metropolitan region. Our data demonstrate the impact of COVID-19 in the State of Alagoas, through the two years of pandemic. Although the number of cases were greater among women and young adults, the chance of death was greater among men and older adults. High-risk clusters of the disease initially occur in metropolitan cities and tourist areas.

The impact of the Russian-Ukrainian war on the mental health of Italian people after 2 years of the pandemic: risk and protective factors as moderators.

Objective: This contribution aimed at investigating the moderating role of risk (e.g., the negative influence of COVID-19 on mental health) and protective (e.g., post-traumatic growth) factors on the relationship between the concern for war and stress and anxiety/depression levels among Italian people. Methods: A questionnaire that included sociodemographic characteristics, the Perceived Stress Scale (PSS-4), the Patient Health Questionnaire (PHQ-4), the Brief Resilience Scale (BRS), the Post-Traumatic Growth Inventory (PTGI), and questions formulated ad hoc about concern for war was administered online. A sample of 755 participants (65.4% females, mean age = 32.39, SD = 12.64, range = 18-75) was recruited by convenience and snowball sampling. The researchers spread the link to the questionnaire to their acquaintances asking them to fill it out and to recruit other people. Results: Results showed that concern for war significantly augmented the levels of stress and anxiety/depression in Italian people. Being a healthcare professional or having a chronic illness negatively moderated the effect of concern for war on stress and anxiety/depression. Instead, the negative influence of COVID-19 on mental health positively moderated the effect of concern for war on stress. Moreover, the overall positive changes after trauma and four of its five scales (i.e., Relating to Others, New Possibilities, Personal Strength, and Spiritual Change), negatively moderated the effect of concern for war on anxiety/depression. Conclusions: In conclusion, concern about the Russian-Ukrainian war affects the mental health of the Italian population even if they are not directly involved in the conflict.

Epidemiological characteristics of infected patients aged 60 years and older during the outbreak of SARS-CoV-2 Omicron variant in Sanya, Hainan in 2022

Objective: To analyze the epidemic characteristics of coronavirus disease 2019 (COVID-19) cases aged 60 years or older during the outbreak epidemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant in Sanya City, Hainan Province, August-September 2022, and to provide scientific and effective basis for formulating strategies for the prevention and treatment of COVID-19 in the elderly in the future. Methods: The data of 1 785 COVID-19 cases aged 60 years reported from August 1 to September 8, 2022 in Sanya City, and 537 local COVID-19 inpatients aged 60 years treated in Sanya Central Hospital were collected and analyzed using WPS Office 2018 software for data cleaning, database assistance, and drawing, and SPSS 22.0 software was used to statistically describe and analyze the counting data. Results: A total of 1 785 local COVID-19 cases aged 60 years were reported in China's Disease Prevention and Control Information System, including 1 509 confirmed cases (84.54%) and 276 asymptomatic cases (15.46%). Of the confirmed cases, 1 448 were mild cases (95.96%), 40 were common cases (2.65%), 10 were severe cases (0.66%), and 11 were critical cases (0.73%), and no deaths were reported. The ratio of male to female was 0.88:1. The youngest was 60 years old, the oldest age was 107 years old, with a median age of 67 years old. Most of them (1 559 cases, 87.34%) were non-social employed personnel. Among them, 952 (53.33%) were from Tianya District and 733 (41.06%) from Jiyang District. Among the 537 COVID-19 elderly infected patients hospitalized in Sanya Central Hospital, infected patients with underlying diseases accounted for 287 (53.45%) cases of hypertension, diabetes and other types of basic diseases (chronic kidney disease, hyperlipidemia, chronic gastritis, gastric ulcer, etc.), and there were serious infections. Conclusions: Most of the elderly infected with Omicron variants were mild cases with few symptoms, but the elderly infected with Omicron variants were difficult to recover or even worsen the condition due to old age and underlying diseases. Therefore, by analyzing the various aspects of elderly infected cases, scientific and effective basis can be provided to prevent and control the epidemic situation in the future, and reduce the occurrence of severe, critical and death cases of COVID-19 in the elderly.

Factors affecting admission to intensive care unit of COVID-19 patients in the Kingdom of Bahrain

Objective: Coronavirus disease-2019 (COVID-19) is a newly emerging infectious disease that has become a global pandemic. This study aimed to identify the risk factors at presentation to predict intensive care unit (ICU) admissions. Materials & Methods: This retrospective observational study recruited 188 confirmed laboratory COVID-19 patients who were hospitalized in Jidhafs Maternity Hospital (JMH) from 1st June to 5th July 2020. Univariate and multivariate analyses were used to Explore risk factors associated with the increased risk of ICU admission. Results: The study revealed that older age (>60 years old) (16[38.1%], P=0.044), male gender (30 [40.0%], P=0.000) were significantly associated with the increased risk of ICU admissions. The most prevalent symptoms in admission were myalgia (13[40.6%], P=0.035), fever (39[34.2%], P=0.002) and cough (37[31.4%], P=0.032). In addition, raised serum level of alanine amino-transferase (ALAT) (34.7% vs. 20.7%, P=0.033), D-dimers (30.7% vs 12.2%, P=0.012), lactate dehydrogenase (LDH) (31.6% vs 0.0%, P=0.025) and ferritin (37.7% vs 16.7%, P=0.011) found to be important predictor of ICU admission. Conclusion: The finding indicates that older age, male gender, with increased alanine transferase (ALT), increased lactate dehydrogenase (LDH), high D-dimer and high ferritin was associated with an increased risk of ICU admissions. Identification of such factors will help to detect people who are more likely to develop severe COVID-19 disease and will help physicians to determine if patients need regular health care or ICU admission.

Comparative analysis of factors associated with the severe course of COVID-19 in the age groups under 60 and over 60 years of age

Introduction: Coronavirus infection is a disease that causes respiratory failure and complications in certain groups of people, leading to death. The factors associated with the severe course of COVID-19 have been fairly well studied by now;at the present stage, it is necessary to search for and study them in separate groups of people that differ in age, gender, ethnicity, the presence of background diseases, etc. to develop more personalized approaches to severe disease prevention. Background: To conduct a comparative analysis of the factors associated with the severe course of COVID-19 in people under and over 60 years of age and evaluate their prognostic significance in combination of factors. Materials and methods: A retrospective analysis of the clinical and laboratory parameters of 812 COVID-19 patients was carried out. Multiple logistic regression analysis was used to identify factors associated with the development of severe COVID-19. ROC analysis was performed to assess the prognostic significance of the set of identified statistically significant factors in the development of a severe course of COVID-19. Results: Multivariate logistic regression analysis showed that patients under 60 diabetes mellitus (OR=2,561, p=0,048), lymphopenia (OR=2,133, p=0,030), and pneumonia at admission (OR=2,556, p=0,011), rapid breathing (OR=3,497, p=0,001), low saturation (OR=4,076, p=0,006) were significantly associated with the development of severe COVID-19. At the same time, in patients older than 60 years, the presence of diabetes mellitus (OR=1,899, p=0,029), rapid breathing (OR=2,338, p=0,007) and low saturation (OR=4,248, p < 0,0001) were significantly associated with the development of a severe course of COVID-19. In groups under 60 and over 60 years of age, the prognostic value of the combination of all statistically significant factors corresponding to the groups was equal to the average level (AUC=0,760 and AUC=0,709, respectively) Conclusion: Factors associated with the development of a severe course of COVID-19 in elderly and middle-aged people have some differences related to the pathogenesis of the disease. For individuals under 60 years of age, factors associated with severe COVID-19 are diabetes mellitus, the presence of pneumonia on admission, dyspnea, low oxygen saturation, and lymphopenia. For individuals over 60 years of age, factors associated with severe COVID-19 are the presence of diabetes mellitus, shortness of breath, and low saturation. The combination of all the studied factors significantly increases the risk of developing a severe course of COVID-19 in both age groups.

Factors Determining Covid-19 Vaccine Acceptance: An Empirical Investigation from India

The COVID-19 pandemic is far from over, caused by severe acute respiratory disease. Coronavirus2 continues to impact people's health and well-being worldwide significantly, and vaccination is the only way to stop the spread. As vaccines are developed, one of the Indian government's major challenges is vaccine adoption. The Indian government and policymakers should develop a plan to encourage and build trust in people for vaccine benefits. This study aims to identify the major issues acting as a barrier to vaccine hesitancy using primary data obtained in India between January-March 2021. This study shows that the 76% respondents were ready to accept the vaccine if it is available to them while 24% were hesitant. The study has investigated the association of demographic and geographical information of people with vaccines acceptance. The study has found that older people were more likely to accept the vaccines in comparison to young adults. A significant difference in vaccine acceptance due to the participants belonging to rural/urban areas is also observed. Additionally, we also noted that the educated people and working professionals were more likely to accept the vaccine than others. The study's findings may be beneficial to the government in developing efficient vaccination acceptance strategies for the Indian populace.

COVID-19 pandemic and the determinants of depressive symptoms among senior citizens of India: An empirical investigation

The COVID-19 pandemic inflicted multiple threats to individuals' physical, mental, and financial health conditions. The pandemic-related restrictive behaviors pose serious consequences for public health and increase the risk of mental illness among individuals, particularly among older citizens. The combination of their pre-existing illnesses, social isolation, COVID fear, and financial adversity frequently aggravates their condition and leads to depression and mental illness. Thus, the present study investigates the mental health status and the determinants of depressive symptoms among older adults of Bhubaneswar during the COVID pandemic context. The study used the Geriatric Depression Scale (GDS-15) to measure their depressive symptoms. The social isolation parameter is measured with the De Jong Gierveld Loneliness Scale. Financial self-efficacy, COVID-19-related psychological fear, and comorbidity health status are other determinants considered. A chi-square test and multinomial logistic regression (MLR) models are adopted to find the probable risk factors that may influence depressive symptoms among older people. The results indicate that comorbidity health conditions, a social isolation mindset, and financial efficacy issues are the significant determinants that drive an older person towards different depression categories. The improvement of these influential factors can lead senior citizens to avoid any health emergency like COVID pandemic. In the event of a public health emergency, such as COVID pandemic, the government could use the study's findings to devise methods for assisting the elderly. Society as a whole should be aware of these findings, which can lead to depressive symptoms, and offer support to the elderly. Future research may concentrate on identifying the causes of depressive symptoms in different age groups or in the presence of specific comorbidity health conditions. Future research may also investigate the factors influencing depressive symptoms in a specific occupation. © 2023 John Wiley & Sons Australia, Ltd.

Analysis of epidemiological features of COVID-19 in Pavlodar region

Introduction: Coronavirus infection (COVID-19), first reported at the end of 2019, which has spilled over into a worldwide pandemic and has affected all aspects of our modern lives. The aim is to study and analyze the epidemiological features of COVID-19 in the Pavlodar region. Materials and methods: Study design is a descriptive retrospective study analysis. The data were obtained from official sources of the Republican Center for e-Health of the Ministry of Health of the Republic of Kazakhstan. The study includes patients from June 30, 2020 to October 31, 2021 who received outpatient and inpatient treatment for coronavirus infection in medical institutions of the Pavlodar region. Study materials - uploading reports from the Republican Center for e-Health of the Ministry of Health of the Republic of Kazakhstan. Results: This article presents epidemiological data on the incidence of coronavirus infection in the population of Pavlodar region. The number of detected cases of COVID-19 from June 30, 2020 to October 31, 2021 was 29,443. Distribution of patients by sex predominated women - 17,831 (60.56%), than men - 11,612 (39.44%). The majority of cases were in the age group from 61 to 70 years old, with a male to female ratio of 1:1.54. Statistical significance was found between duration of stay and type of inpatient care (p < 0.001, VS-MPR*=2.135 x 10+22). Conclusion: The study showed that the number of women who fell ill prevailed over the number of men who fell ill, although the number of deaths among men prevailed over the number of deaths among women. In the study, there was no significant difference in the duration of stay for men and women in home care, compared to patients under 24-hour observation.