Intensity Of COVID-19 Research Articles

COVID-19 and depressive symptoms among older adults in South Korea

This study analyzed the effects of COVID-19 and gender differences in depressive symptoms in older adults using data from the 7th (2018) and 8th (2020) surveys of the Korean Longitudinal Study of Aging. A panel two-way-fixed effects model was used to control for individual fixed effects and time effects. A 0.1% point increase in the intensity of COVID-19 was associated with an average increase of 1.5 points out of 10 on the Center of Epidemiologic Studies Depression Scale, 10-item version (CES-D10) among older adults. The increase in depression was greater among women. Depressive factors due to COVID-19 among older adults are more likely to be related to negative emotions or interpersonal relationships than to physical and behavioral decline. Depression prevention policies for older adults should be informed by these gender differences. While older men require assistance with instrumental activities of daily living such as housework, meal preparation, etc., older women should be provided with online socialization opportunities to interact with others.

Perceived Health Impacts, Sources of Information and Individual Actions to Address Air Quality in Two Cities in Nigeria

Poor air quality (PAQ) has serious effects on the environment, climate change, and human health. This study investigated the perceived health impacts of PAQ in two cities in Nigeria (Abuja and Enugu), including whether PAQ may have an interaction with COVID-19 infection and intensity. A recent report published in the Lancet has pointed to the complexity of the health care system in Nigeria and a lack of data on disease burden, so the research in this paper took a self-reporting (perceptual) approach to exploring the health impacts of PAQ. The research also sought to explore the main sources of information used by people to inform them about air quality (AQ) and the actions they are likely to take to address PAQ. The results imply that many of the respondents in the two cities perceived their health to be adversely affected by PAQ and that PAQ worsens both the chances of infection and the intensity of COVID-19. Unsurprisingly, older people were found to be more vulnerable to the health impacts of PAQ. Most respondents, especially younger ones, obtained their information on AQ via electronic media (internet, social media) rather than printed media. Respondents considered that the primary action to address PAQ is proper waste management. Paying the government to address PAQ was regarded as the least likely action, although the government was acknowledged as having a key responsibility.

The Socio-Economic Impact of COVID-19 on Households in Punjab, Pakistan

The COVID-19 pandemic affected the everyday life of human beings. This study investigates the impact of COVID-19 on six socio-economic dimensions (i.e., food availability, food quality, education, finance, non-payment of utility bills, and sale of assets/goods) in Punjab, Pakistan. Three districts were selected from Punjab province based on two criteria such as (a) geographical variability and (b) intensity of COVID-19. Thus, a total of 1200 respondents were interviewed via convenience sampling from selected Punjab districts (i.e., Faisalabad, Muzaffargarh, and Chakwal). Descriptive statistics showed that most respondents face the adverse socio-economic effects of COVID-19. However, the percentage of strongly agree/ agree was comparatively more for low-educated respondents, while it was comparatively less for high-educated respondents. The percentage of strongly agree/agree comparatively more for low-income respondents, while it was comparatively less for high-income respondents. The percentage of strongly agree/agree comparatively more for private job holders while it was comparatively less for public job holders. The percentage of strongly agree/agree comparatively more for urban households, while it was comparatively less for rural households. The percentage of strongly agree/agree comparatively more in Chakwal while it was comparatively less in Faisalabad. The chi-square () independence test showed a significant role of education, family income, job type, and area of residence on the socio-economic impacts of COVID-19. Therefore, it is recommended to increase educational opportunities and educational standards. Developing a Learning Management System is also suggested to continue education in emergencies. It is recommended to increase the family income through an increase in investment and employment opportunities. The protection of private-sector employees is necessary during the pandemic situation. The government should provide interest-free loans to businesses during an emergency. The government should ensure the vaccination of citizens to control the spread and intensity of the disease. Training of doctors and paramedical staff is necessary to perform duties during the pandemic.

Comparison of the First Three Waves of the COVID-19 Pandemic in Russia in 2020–21

Relevance. The ongoing COVID-19 pandemic in the world, which is characterized by a long undulating course, requires an in-depth study of the features of the epidemic process, including the influence of natural, climatic and social factors on it. Aim. Compare the intensity of three waves of the COVID-19 pandemic in Russia. To identify the features of the parameters of the COVID-19 pandemic in Russia in the age groups of the population and in the federal districts. Materials and methods. Data from the computer database of the Influenza Research Institute and the Stop-coronavirus website were used. Results. The construction of the weekly dynamics of COVID-19 made it possible to clarify the start, peak and end dates of each wave in megacities, federal districts and among the population of the Russia. Conclusion. In the dynamics of the incidence of COVID-19 in the population of the Russian Federation from March 2020 to September 2021, three waves were detected: I spring-summer wave, II autumn-winter, III spring -summer. All three waves started in megacities, first in Moscow, and spread across federal districts. The rise of morbidity in Russia as a whole began and peaked in the autumn-winter wave later than in the spring-summer waves (immediately after the megacities). The total duration of the epidemic and the period of its development in the autumn-winter wave were longer than in the spring-summer waves. Morbidity, hospitalization and mortality depended on age, and in all three waves were higher among people over 65 years of age. The intensity of COVID-19 in the first spring-summer wave was the lowest. The II autumn-winter wave was the most intense in terms of morbidity, hospitalization rate and mortality in all age groups. The III spring-summer wave in terms of morbidity and hospitalization was less intensive, than the II autumn-winter wave, but there were no significant differences between the mortality rates in the II and III wave hospitalization and fatal outcomes were revealed.

Intensity of COVID-19 in care homes following hospital discharge in the early stages of the UK epidemic.

Backgrounddefining features of the COVID-19 pandemic in many countries were the tragic extent to which care home residents were affected and the difficulty in preventing the introduction and subsequent spread of infection. Management of risk in care homes requires good evidence on the most important transmission pathways. One hypothesised route at the start of the pandemic, prior to widespread testing, was the transfer of patients from hospitals that were experiencing high levels of nosocomial events.Methodswe tested the hypothesis that hospital discharge events increased the intensity of care home cases using a national individually linked health record cohort in Wales, UK. We monitored 186,772 hospital discharge events over the period from March to July 2020, tracking individuals to 923 care homes and recording the daily case rate in the homes populated by 15,772 residents. We estimated the risk of an increase in case rates following exposure to a hospital discharge using multi-level hierarchical logistic regression and a novel stochastic Hawkes process outbreak model.Findingsin regression analysis, after adjusting for care home size, we found no significant association between hospital discharge and subsequent increases in care home case numbers (odds ratio: 0.99, 95% CI: 0.82, 1.90). Risk factors for increased cases included care home size, care home resident density and provision of nursing care. Using our outbreak model, we found a significant effect of hospital discharge on the subsequent intensity of cases. However, the effect was small and considerably less than the effect of care home size, suggesting the highest risk of introduction came from interaction with the community. We estimated that approximately 1.8% of hospital discharged patients may have been infected.Interpretationthere is growing evidence in the UK that the risk of transfer of COVID-19 from the high-risk hospital setting to the high-risk care home setting during the early stages of the pandemic was relatively small. Although access to testing was limited to initial symptomatic cases in each care home at this time, our results suggest that reduced numbers of discharges, selection of patients and action taken within care homes following transfer all may have contributed to the mitigation. The precise key transmission routes from the community remain to be quantified.

Reasons for hesitancy to take COVID-19 vaccine: A survey amongst healthcare workers

Background: Concern about vaccine hesitancy is growing worldwide. Vaccine hesitancy can have effects for both the individual and the community, especially in the context of severe acute respiratory syndrome coronavirus 2 disease (COVID-19) pandemic.Methods: A 16-item questionnaire was administered to 385 healthcare workers to find out the reasons for COVID-19 vaccine hesitancy.Results: Their mean age was 36.6 ± 9.6 years. 'Fear of getting side effects' (61.8%) was the most common reason for vaccine hesitancy, followed by reasons such as 'to wait and observe for some more time' (60.3%), 'doubts on safety and efficacy of vaccine' (49.4%), 'The intensity of COVID-19 has come down' (36.6%), 'self-perception of having good immunity' (33.8%), 'need to apply for leave' (30.3%) and 'Fear of death' (29.0%). 'To wait and observe for some more time' was the major reason for hesitancy amongst men. Security guards were more hesitant to take the vaccine, because of side effects, whereas doctors and sanitary workers wanted to wait and observe for some more time.Conclusions: Factors identified in the present study need to be addressed for overcoming vaccine hesitancy.

Global cities, hypermobility, and Covid-19

The relationship between cities, globalization and mobility has produced recurring urban challenges over time. This article examines how mobility networks can turn global cities into Pandemic Gateways. Our hypothesis is that global cities became the gateway by which COVID-19 was introduced to many countries through the hypermobility of infected international travelers. To assess this transmission mechanism, we assembled data about the population and COVID-19 cases in global cities and their associated countries, comparing their infection rates on a fixed date.We demonstrate that most global cities followed a common pattern in the pace and intensity of COVID-19's spread during the first wave of the pandemic. Among our global cities sample, 75% served as the gateway through which COVID-19 was diffused within their respective countries. This trend reached 90% in a subset based upon the urban hierarchy among global cities. Hypermobility, which we demonstrate contributed to the mechanism by which global cities diffused COVID-19 initially, is also correlated with the global cities hierarchy, as supported by air travel data. Our findings suggest the need to appreciate why global cities can serve as gateways of pandemic diffusion, while also seeking to understand why some did not function in this way.

Covid-19 and heuristic biases: evidence from India

Stock markets worldwide have witnessed high volatility during the year 2020 owing to the eruption of Covid-19. Due to the world’s unprecedented economic challenges, this study could potentially guide financial advisors and individual investors in dealing with pandemics. An association between investors’ perception toward the intensity of Covid-19 and heuristic biases is analyzed using the responses of 290 stock investors of National Capital Region (NCR), India. The data are validated through Cronbach’s alpha, and the model fit is analyzed using EFA. Confirmatory factor analysis (CFA) is employed to investigate the relationship between Covid-19 and heuristic biases. Covid-19 does not have any influence on the overconfidence of investors. A significant positive relationship is found between Covid-19 and the remaining three heuristics, i.e., availability, anchoring, and representativeness. The present study analyzes the association between Covid-19 and specific investors’ bias only and should not be interpreted for causality. The study has the potential to guide investors in understanding the errors they are making while investing during the pandemic and the ways to deal with them. The study could provide insights to the financial advisors in understanding their customers. The implications of the study may include inputs of the errors committed by them during the pandemic. Despite the fact that an enormous amount of literature exists in the field of investors’ sentiment, a scarcity of literature is available that measures the relationship between heuristic biases and the perceived impact of the pandemic. The current study attempts to fill this gap in the literature.

Does BMI predict the early spatial variation and intensity of Covid-19 in developing countries? Evidence from India

This paper studies BMI as a correlate of the early spatial distribution and intensity of Covid-19 across the districts of India and finds that conditional on a range of individual, household and regional characteristics, adult BMI significantly predicts the likelihood that the district is a hotspot, the natural log of the confirmed number of cases, the case fatality rate, and the propensity that the district is a red zone. Controlling for air-pollution, rainfall, temperature, demographic factors that measure population density, the proportion of the elderly, and health infrastructure including per capita health spending and the proportion of respiratory cases, does not diminish the predictive power of BMI in influencing the spatial incidence and spread of the virus. The association between adult BMI and measures of spatial outcomes is especially pronounced among educated populations in urban settings, and impervious to conditioning on differences in testing rates across states. We find that among women, BMI proxies for a range of comorbidities (hemoglobin, high blood pressure and high glucose levels) that affects the severity of the virus while among men, these health indicators are also important, as is exposure to risk of contracting the virus as measured by work propensities. We conduct sensitivity checks and control for differences that may arise due to variations in timing of onset. Our results provide a readily available health marker that may be used to identify and protect especially at-risk populations in developing countries like India.

COVID-19 and Employment in South Korea: Trends and Comparison with the 2008 Financial Crisis

We examine the impact of COVID-19 on employment in South Korea as of June 2020. To estimate the causal effect, we use two complementary methods. First, using individual-level data without residence information, we estimate the effects by controlling for detailed characteristics of individuals. Second, using aggregate data without individual characteristics, we exploit the regional variation in the intensity of COVID-19 to measure the effects. We find that the COVID-19 pandemic decreased the employment rate by 0.82%p and increased the unemployment rate by 0.29%p. These estimated effects are 90%–140% larger than those of the 2008 Financial Crisis.

Does BMI Predict the Early Spatial Variation and Intensity of Covid-19 in Developing Countries? Evidence from India

This paper studies BMI as a correlate of the early spatial distribution and intensity of Covid-19 across the districts of India and finds that conditional on a range of individual, household, and regional characteristics, adult BMI significantly predicts the likelihood that the district is a hotspot, the natural log of the confirmed number of cases, the case fatality rate, and the propensity that the district is a red zone. Controlling for air-pollution, rainfall, temperature, demographic factors that measure population density, the proportion of the elderly, and health infrastructure including per capita health spending, the proportion of respiratory cases, and the number of viral disease outbreaks in the recent past, does not diminish the predictive power of BMI in influencing the spatial incidence and spread of the virus. The association between adult BMI and measures of spatial outcomes is especially pronounced among educated populations in urban settings, and impervious to conditioning on differences in testing rates across states. We find that among women, BMI proxies for a range of comorbidities (hemoglobin, high blood pressure and high glucose levels) that affects the severity of the virus while among men, these health indicators are less important and exposure to risk of contracting the virus as measured by work propensities is explanatory. We conduct heterogeneity and sensitivity checks and control for differences that may arise due to variations in timing of onset. Our results provide a readily available health marker that may be used to identify especially at-risk populations in developing countries like India.