scholarly journals The Relationship Between Demographic, Socioeconomic, and Health-Related Parameters and the Impact of COVID-19 on 24 Regions in India: Exploratory Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Ravi Philip Rajkumar
Keyword(s):  
Mortality Rate ◽  
Sex Ratio ◽  
Multivariate Analyses ◽  
Case Fatality ◽  
Negatively Associated ◽  
Crude Mortality Rate ◽  
Crude Mortality ◽  
Health Related ◽  
The Impact ◽  
The Relationship

BACKGROUND The impact of the COVID-19 pandemic has varied widely across nations and even in different regions of the same nation. Some of this variability may be due to the interplay of pre-existing demographic, socioeconomic, and health-related factors in a given population. OBJECTIVE The aim of this study was to examine the statistical associations between the statewise prevalence, mortality rate, and case fatality rate of COVID-19 in 24 regions in India (23 states and Delhi), as well as key demographic, socioeconomic, and health-related indices. METHODS Data on disease prevalence, crude mortality, and case fatality were obtained from statistics provided by the Government of India for 24 regions, as of June 30, 2020. The relationship between these parameters and the demographic, socioeconomic, and health-related indices of the regions under study was examined using both bivariate and multivariate analyses. RESULTS COVID-19 prevalence was negatively associated with male-to-female sex ratio (defined as the number of females per 1000 male population) and positively associated with the presence of an international airport in a particular state. The crude mortality rate for COVID-19 was negatively associated with sex ratio and the statewise burden of diarrheal disease, and positively associated with the statewise burden of ischemic heart disease. Multivariate analyses demonstrated that the COVID-19 crude mortality rate was significantly and negatively associated with sex ratio. CONCLUSIONS These results suggest that the transmission and impact of COVID-19 in a given population may be influenced by a number of variables, with demographic factors showing the most consistent association.

scholarly journals The Relationship Between Demographic, Socioeconomic, and Health-Related Parameters and the Impact of COVID-19 on 24 Regions in India: Exploratory Cross-Sectional Study

10.2196/23083 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e23083
Author(s):  
Ravi Philip Rajkumar
Keyword(s):  
Mortality Rate ◽  
Sex Ratio ◽  
Multivariate Analyses ◽  
Case Fatality ◽  
Negatively Associated ◽  
Crude Mortality Rate ◽  
Crude Mortality ◽  
Health Related ◽  
The Impact ◽  
The Relationship

Background The impact of the COVID-19 pandemic has varied widely across nations and even in different regions of the same nation. Some of this variability may be due to the interplay of pre-existing demographic, socioeconomic, and health-related factors in a given population. Objective The aim of this study was to examine the statistical associations between the statewise prevalence, mortality rate, and case fatality rate of COVID-19 in 24 regions in India (23 states and Delhi), as well as key demographic, socioeconomic, and health-related indices. Methods Data on disease prevalence, crude mortality, and case fatality were obtained from statistics provided by the Government of India for 24 regions, as of June 30, 2020. The relationship between these parameters and the demographic, socioeconomic, and health-related indices of the regions under study was examined using both bivariate and multivariate analyses. Results COVID-19 prevalence was negatively associated with male-to-female sex ratio (defined as the number of females per 1000 male population) and positively associated with the presence of an international airport in a particular state. The crude mortality rate for COVID-19 was negatively associated with sex ratio and the statewise burden of diarrheal disease, and positively associated with the statewise burden of ischemic heart disease. Multivariate analyses demonstrated that the COVID-19 crude mortality rate was significantly and negatively associated with sex ratio. Conclusions These results suggest that the transmission and impact of COVID-19 in a given population may be influenced by a number of variables, with demographic factors showing the most consistent association.

scholarly journals The relationship between demographic, psychosocial and health-related parameters and the impact of COVID-19: a study of twenty-four Indian regions

2020 ◽  
Author(s):  
Ravi Philip Rajkumar
Keyword(s):  
Sex Ratio ◽  
Multivariate Analyses ◽  
Case Fatality ◽  
Diarrhoeal Disease ◽  
Related Factors ◽  
Crude Mortality Rate ◽  
Crude Mortality ◽  
Health Related ◽  
The Impact ◽  
The Relationship

Objectives: The impact of the COVID-19 pandemic has varied widely across nations and even in different regions of the same nation. Some of this variability may be due to the interplay of pre-existing demographic, psychological, social and health-related factors in a given population. Methods: Data on the COVID-19 prevalence, crude mortality and case fatality rates were obtained from official government statistics for 24 regions of India. The relationship between these parameters and demographic, social, psychological and health-related indices in these states was examined using both bivariate and multivariate analyses. Results: A variety of factors - state population, sex ratio, and burden of diarrhoeal disease and ischemic heart disease - were associated with measures of the impact of COVID-19 on bivariate analyses. On multivariate analyses, prevalence and crude mortality rate were both significantly and negatively associated with the sex ratio. Conclusions: These results suggest that the transmission and impact of COVID-19 in a given population may be influenced by a number of variables, with demographic factors showing the most consistent association.

scholarly journals Choosing the right COVID-19 indicator: crude mortality, case fatality, and infection fatality rates influence policy preferences, behaviour, and understanding

2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Chiara Natalie Focacci ◽  
Pak Hung Lam ◽  
Yu Bai
Keyword(s):  
Mortality Rate ◽  
Case Fatality ◽  
Policy Preferences ◽  
Fatality Rate ◽  
Change Policy ◽  
Crude Mortality Rate ◽  
Crude Mortality ◽  
Mortality Case ◽  
Types Of Information ◽  
The Right

AbstractIndividuals worldwide are overwhelmed with news about COVID-19. In times of pandemic, media alternate the usage of different COVID-19 indicators, ranging from the more typical crude mortality rate to the case fatality rate, and the infection fatality rate continuously. In this article, we used experimental methods to test whether and how the treatment of individuals with different types of information on COVID-19 is able to change policy preferences, individual and social behaviours, and the understanding of COVID-19 indicators. Results show that while the usage of the crude mortality rate proves to be more efficient in terms of supporting policy preferences and behaviours to contain the virus, all indicators suffer from a significant misunderstanding on behalf of the population.

Effect of Nosocomial Vancomycin-Resistant Enterococcal Bacteremia on Mortality, Length of Stay, and Costs

2003 ◽  
Vol 24 (4) ◽  
pp. 251-256 ◽  
Author(s):  
Xiaoyan Song ◽  
Arjun Srinivasan ◽  
David Plaut ◽  
Trish M. Perl
Keyword(s):  
Mortality Rate ◽  
Length Of Stay ◽  
Severity Of Illness ◽  
Attributable Mortality ◽  
Crude Mortality Rate ◽  
Crude Mortality ◽  
Vancomycin Resistant ◽  
And Control ◽  
The Impact ◽  
Enterococcal Bacteremia

AbstractObjective:To determine the impact of vancomycin-resistant enterococcal bacteremia on patient outcomes and costs by assessing mortality, excess length of stay, and charges attributable to it.Design:A population-based, matched, historical cohort study.Setting:A 1,025-bed, university-based teaching facility and referral hospital.Patients:Two hundred seventy-seven vancomycin-resistant enterococcal bacteremia case-patients and 277 matched control-patients identified between 1993 and 2000.Results:The crude mortality rate was 50.2% and 19.9% for case-patients and control-patients, respectively, yielding a mortality rate of 30.3% attributable to vancomycin-resistant enterococcal bacteremia. The excess length of hospital stay attributable to vancomycin-resistant enterococcal bacteremia was 17 days, of which 12 days were spent in intensive care units. On average, $77,558 in extra charges was attributable to each vancomycin-resistant enterococcal bacteremia. To adjust for severity of illness, 159 pairs of case-patients and control-patients, who had the same severity of illness (All Patient Refined-Diagnosis Related Group complexity level), were further analyzed. When patients were stratified by severity of illness, the crude mortality rate was 50.3% among case-patients compared with 27.7% among control-patients, accounting for an attributable mortality rate of 22.6%. Attributable excess length of stay and charges were 17 days and $81,208, respectively.Conclusion:Vancomycin-resistant enterococcal bacteremia contributes significantly to excess mortality and economic loss, once severity of illness is considered. Efforts to prevent these infections will likely be cost-effective.

Effect of Parental Modernity on Rejection Sensitivity and Self-Esteem of Adolescents

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Ritu ◽  
Madhu Anand
Keyword(s):  
Social Development ◽  
Rejection Sensitivity ◽  
Self Esteem ◽  
The Self ◽  
Negatively Associated ◽  
Individual Modernity ◽  
The Impact ◽  
The Relationship

Parental Modernity is an important aspect for the psycho-social development of the child. The present study aims to study the effect of parental modernity on rejection sensitivity and self-esteem of adolescents and the relationship between rejection sensitivity and self-esteem. The research is carried out on a sample of 240 parents (including 120 fathers and 120 mothers) and their 120 children. For observing the impact of modernity of parents on their children, Individual Modernity Scale was used and administered on father and mother. Rejection Sensitivity Questionnaire and Self-Esteem Inventory were used to measure the rejection sensitivity and self-esteem of children (age ranges from 14 to 19 years). The results suggest that parental modernity has an effect on the rejection sensitivity and personally perceived self of the self – esteem of adolescents. Furthermore, the rejection sensitivity has been found negatively associated with self-esteem.

Abstract 279: The Impact of Heart Failure on Depression and Quality of Life is Greater in Men than Women

2012 ◽  
Vol 5 (suppl_1) ◽  
Author(s):  
Rory Hachamovitch ◽  
Brian Griffin ◽  
Alan Klein ◽  
Benjamin Nutter ◽  
Irene Katzan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Demographic Data ◽  
Cardiovascular Assessment ◽  
Related Quality ◽  
Health Related ◽  
The Difference ◽  
The Impact ◽  
The Relationship

Background. Patients (pts) diagnosed with congestive heart failure (HF) have been reported to have more frequent depression and worsened health related quality of life (HRQOL). Although depression is more common in women than men in this condition, the impact of HF on depression and HRQOL in men versus women is unclear. We sought to examine the relationship between pt sex, HF diagnosis, and pt-perceived depression and HRQOL. Methods. Depression (PHQ-9) and HRQOL (EQ5D) data were collected using tablet computers from pts presenting for routine outpatient cardiovascular assessment at our institution between November, 2010 and December, 2011. Demographic, clinical, and historical data was collected as per routine. We examined the association of pt sex and clinical diagnosis of HF with instrument results after adjusting for potential confounding information using mutliple linear regression. Results. Of 3046 pts (age 61±15), 39% were female and 8.7% were diagnosed with HF. Overall, PHQ-9 was greater, and minor or major depression (PHQ-9≥10) was more frequent, in women than men (4.6±4.6 vs. 3.3±4.4; 14.0% vs. 8.9%, both p<0.05) and in HF pts than pts without HF (5.9±5.6 vs. 3.6±4.3, 22.0% versus 9.6%; both p<0.05). Similarly, HRQOL was worse in women than men (EQ-5D 0.80±0.18 vs. 0.87±0.16; p<0.01) and in HF pts than no HF (EQ-5D 0.76±0.18 vs. 0.85±0.17; p<0.01). However, the difference in PHQ-9 between pts with versus without HF was greater in men (6.23±6.06 vs. 3.02±4.06, p<0.01) than women (5.43±4.85 vs. 4.55±4.58, p=0.09). After adjusting for cardiovascular diagnoses, comorbidities, clinical and demographic data, multivariable modeling of PHQ-9 revealed a significant interaction between pt sex and HF diagnosis (p=0.001; see Figure) such that women had greater PHQ-9 scores compared to men without HF, but in the setting of HF, mens' PHQ-9 scores were greater. Modeling of EQ-5D also revealed that after risk-adjustment an interaction between HF diagnosis and sex was present with a similar pattern of findings. Conclusion. Although depression is more frequent and severe in women compared to men, and in pts with versus without HF, HF appears to impact depression severity more in men compared to women.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

scholarly journals Analysis of death causes of residents in poverty-stricken Areas in 2020: take Liangshan Yi Autonomous Prefecture in China as an example

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Rujun Liao ◽  
Lin Hu ◽  
Qiang Liao ◽  
Tianyu Zhu ◽  
Haiqun Yang ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Life Expectancy ◽  
Malignant Tumors ◽  
Heart Diseases ◽  
Health Policies ◽  
Years Of Life Lost ◽  
Crude Mortality Rate ◽  
Crude Mortality ◽  
Standardized Mortality Rate ◽  
Death Causes

Abstract Background Continuous surveillance of death can measure health status of the population, reflect social development of a region, thus promote health service development in the region and improve the health level of local residents. Liangshan Yi Autonomous Prefecture was a poverty-stricken region in Sichuan province, China. While at the end of 2020, as the announcement of its last seven former severely impoverished counties had shaken off poverty, Liangshan declared victory against poverty. Since it is well known that the mortality and cause of death structure will undergo some undesirable changes as the economy develops, this study aimed to reveal the distribution of deaths, as well as analyze the latest mortality and death causes distribution characteristics in Liangshan in 2020, so as to provide references for the decision-making on health policies and the distribution of health resources in global poverty-stricken areas. Methods Liangshan carried out the investigation on underreporting deaths among population in its 11 counties in 2018, and combined with the partially available data from underreporting deaths investigation data in 2020 and the field experience, we have estimated the underreporting rates of death in 2020 using capture-recapture (CRC) method. The crude mortality rate, age-standardized mortality rate, proportion and rank of the death causes, potential years of life lost (PYLL), average years of life lost (AYLL), potential years of life lost rate (PYLLR), standardized potential years of life lost (SPYLL), premature mortality from non-communicable diseases (premature NCD mortality), life expectancy and cause-eliminated life expectancy were estimated and corrected. Results In 2020, Liangshan reported a total of 16,850 deaths, with a crude mortality rate of 608.75/100,000 and an age-standardized mortality rate of 633.50/100,000. Male mortality was higher than female mortality, while 0-year-old mortality of men was lower than women’s. The former severely impoverished counties’ age-standardized mortality and 0-year-old mortality were higher than those of the non-impoverished counties. The main cause of death spectrum was noncommunicable diseases (NCDs), and the premature NCD mortality of four major NCDs were 14.26% for the overall population, 19.16% for men and 9.27% for women. In the overall population, the top five death causes were heart diseases (112.07/100,000), respiratory diseases (105.85/100,000), cerebrovascular diseases (87.03/100,000), malignant tumors (73.92/100,000) and injury (43.89/100,000). Injury (64,216.78 person years), malignant tumors (41,478.33 person years) and heart diseases (29,647.83 person years) had the greatest burden on residents in Liangshan, and at the same time, the burden of most death causes on men were greater than those on women. The life expectancy was 76.25 years for overall population, 72.92 years for men and 80.17 years for women, respectively, all higher than the global level (73.3, 70.8 and 75.9 years). Conclusions Taking Liangshan in China as an example, this study analyzed the latest death situation in poverty-stricken areas, and proposed suggestions on the formulation of health policies in other poverty-stricken areas both at home and abroad.

Kwantitatieve en kwalitatieve baanonzekerheid: samenhangen met arbeidstevredenheid en psychisch welzijn

2007 ◽  
Vol 20 (2) ◽  
Author(s):  
Yasmin Handaja ◽  
Hans De Witte
Keyword(s):  
Job Satisfaction ◽  
Working Conditions ◽  
Social Relations ◽  
Job Insecurity ◽  
Well Being ◽  
Negatively Associated ◽  
Bank Employees ◽  
Job Content ◽  
The Impact ◽  
The Relationship

Quantitative and qualitative job insecurity: associations with job satisfaction and well-being Quantitative and qualitative job insecurity: associations with job satisfaction and well-being Y. Handaja & H. De Witte, Gedrag & Organisatie, volume 20, June 2007, nr. 2, pp. 137-159 This study analyses the associations between both quantitative and qualitative job insecurity and job satisfaction and psychological ill-being. We also analyse whether the relationship between job insecurity and psychological ill-being is mediated by job satisfaction. A more subtle and differentiated measurement of qualitative job insecurity is used, in which insecurity is measured regarding four aspects: the job content, working circumstances, working conditions and social relations. Data gathered among Belgian bank employees are used to test the hypotheses. The results show that both quantitative and qualitative job insecurity are negatively associated with job satisfaction and positively associated with psychological ill-being. The relationship between job insecurity and psychological ill-being is only partially mediated by job satisfaction. This signifies that the impact of job insecurity exceeds the boundaries of work, since it exerts an autonomous impact on the psychological well-being of individual workers. Limitations of the research and recommendations for further research are discussed.  

scholarly journals COVID-19 mortality among Indigenous people in Brazil: a nationwide register-based study

2020 ◽  
Author(s):  
Victor Santana Santos ◽  
Adriano Antunes Souza Araújo ◽  
Jarbas Ribeiro de Oliveira ◽  
Lucindo José Quintans-Júnior ◽  
Paulo Ricardo Martins-Filho
Keyword(s):  
Mortality Rate ◽  
Incidence Rate ◽  
Indigenous People ◽  
Social Protection ◽  
Black People ◽  
Indigenous Population ◽  
Case Fatality ◽  
The North ◽  
Minority Ethnic Groups ◽  
The Impact

Abstract Coronavirus disease 2019 (COVID-19) has disproportionately affected Black people and minority ethnic groups, but there are limited data regarding the impact of disease on Indigenous people. Herein, we investigated the burden of COVID-19 on the Indigenous population in Brazil. We performed a populational-based study including all cases and deaths from COVID-19 among Brazilian Indigenous people from 26 February to 28 August 2020. Data were obtained from official Brazilian information systems. We calculated incidence, mortality and fatality rates for the Indigenous population for each of the five Brazilian regions. Brazil had an incidence and a mortality rate of 3546.4 cases and 65.0 deaths per 100 000 population, respectively. The case fatality rate (CFR) was 1.8%. The Central-West had the higher estimates of disease burden among Brazilian Indians (incidence rate: 3135.0/100 000; mortality rate: 101.2/100 000 and CFR: 3.2%) followed by the North region (incidence rate: 5664.4/100 000; mortality rate: 92.2/100 000 and CFR: 1.6%). Governmental actions should guarantee the isolation, monitoring and testing capabilities of Indigenous people and rapidly to provide social protection and health facilities.

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