scholarly journals 444. County-level COVID-19 Case Fatality Rate in Medicaid Expansion States Compared to Non-Expansion States

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S323-S324
Author(s):  
Walid El-Nahal ◽  
Stephen Berry ◽  
Kevin Psoter ◽  
Kelly Gebo
Keyword(s):  
Case Fatality Rate ◽  
Negative Binomial ◽  
District Of Columbia ◽  
Case Fatality ◽  
County Level ◽  
Medicaid Expansion ◽  
Fatality Rate ◽  
Physician Density ◽  
Related Case ◽  
Significant Difference

Abstract Background Medicaid expansion has been adopted by 38 states and the District of Columbia,1,2 contributing to lower rates of uninsured individuals in the US.3 During the COVID-19 pandemic, Medicaid enrollment offset employer-based insurance losses precipitated by the recession.4 The aim of this study was to evaluate whether Medicaid expansion may have impacted COVID-19 mortality. Methods We conducted an ecologic study that included all US counties in the 50 states and District of Columbia. County-specific Medicaid expansion status was based on whether expansion was adopted within the state. COVID-19 cases and deaths for each county were obtained from the Centers of Disease Control (CDC). Unadjusted and multivariable negative binomial regression with robust standard errors to account for clustering of counties within each state were used to evaluate the association of COVID-19 case fatality rate and Medicaid expansion status. Adjusted models included the addition of four sets of county-level covariates thought to influence the association of Medicaid status and COVID-19 fatality rate: demographics, comorbidities, economic indicators, and physician density. These analyses were then performed in subgroups of counties defined by urbanicity (metro, suburban or rural) and quartiles of poverty rates. Incidence Rate Ratios (IRR) and 95% confidence intervals (CI) are reported. Results A total of 1,814 Medicaid expansion and 1,328 non-expansion counties were included in the analysis. Crude case fatality rates were 2.1% (non-expansion) and 1.8% (expansion). Medicaid expansion was not associated with a significantly lower COVID-19 case fatality rate in either the unadjusted (IRR: 0.86; 95% CI: 0.74, 1.01) or fully adjusted (IRR: 1.02; 95% CI: 0.90, 1.16) models. In adjusted models, Medicaid expansion status was also not associated with differences in COVID-19 case fatality rate when counties were stratified by either urbanicity or percent of individuals living below the poverty line. Conclusion In this county-level analysis, Medicaid expansion status was not associated with a significant difference in county-level COVID-19-related case fatality rates among people of all ages. Future individual-level studies are needed to better characterize the effect of Medicaid on COVID-19 mortality. Disclosures All Authors: No reported disclosures

Phylogenetic group and serotype of E. coli isolates are important risk factors affecting intensity of colibacillosis in broilers

2018 ◽  
Author(s):  
S. Kumar ◽  
R. Gupta ◽  
N. Jindal and Y.C. Bangar
Keyword(s):  
Case Fatality Rate ◽  
Age Groups ◽  
Case Fatality ◽  
Phylogenetic Group ◽  
Fatality Rate ◽  
Phylogenetic Groups ◽  
Factors Affecting ◽  
E Coli ◽  
Significant Difference ◽  
Class 1

The study was conducted on 106 E. coli isolates to determine the phylogenetic group, serotype and carriage of Class 1 integrons in isolates and ascertain their association along with other parameters with vital disease measures in broiler flocks affected with colibacillosis. Out of 32 isolates of which “O” antigen was characterized, serogroup O2 comprising of 12 (37.5%) isolates was most prevalent in the present study. Most of the isolates (85/106; 80.19%) belonged to phylogenetic group B2. Mean apparent morbidity, mortality and case fatality rate (CFR) were 3.77%, 2.32% and 61.49%, respectively. There was significant difference in number of outbreaks reported in different age groups (p less than 0.0001). Also, there was significant association between phylogenetic group and age of outbreak due to E. coli (p=0.024). Comparatively, no significant association was observed between age of outbreaks and serotypes (p=0.980). There was significant association between various disease measures and E. coli isolates affiliated to various phylogenetic groups and serotypes. All the measures (apparent morbidity, mortality and CFR) of disease were highest in outbreaks due to isolates of phylogenetic group B2 and serogroup O20. However, the measures were not significantly affected by the presence of integrons in the E. coli.

scholarly journals COVID-19 Pandemic: Marked Global Disparities in Fatalities According to Geographic Location and Universal Health Care

2020 ◽  
Vol 9 (2) ◽  
pp. 213-216 ◽  
Author(s):  
Deepa Dongarwar ◽  
Hamisu M. Salihu
Keyword(s):  
Health Care ◽  
Universal Health Coverage ◽  
Case Fatality Rate ◽  
Health Care Systems ◽  
Case Fatality ◽  
Geographic Location ◽  
Fatality Rate ◽  
Health Coverage ◽  
Related Case ◽  
Universal Health

Since its outbreak, COVID-19 pandemic has been the biggest global concern with exponentially increasing number of cases and associated deaths across all habitable continents. Various countries around the world with their diverse health care systems, have responded to the pandemic in very distinctive ways. In this paper, we: compared COVID-19 mortality rates across global geographic regions; and assessed differences in COVID-19-related case fatality rate (CFR) based on presence or absence of Universal Health Coverage (UHC). We found that as of May 6, 2020, Europe had experienced the highest CFR globally of 9.6%, followed by 5.9% in North America. Although the pandemic originated in Asia, the continent ranked second to the last in terms of CFR (3.5%). Countries with UHC had lower number of cases of 37.6%, but the CFR of countries with UHC was twice that of countries without UHC (10.5% versus 4.9%). In conclusion, UHC does not appear to protect against mortality in a pandemic environment such as with COVID-19. Key words: • COVID-19 • Global disparity • Universal Health Coverage • Case fatality rate   Copyright © 2020 Dongarwar and Salihu. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Urban Air Pollution May Enhance COVID-19 Case-Fatality and Mortality Rates in the United States

2020 ◽  
Author(s):  
Donghai Liang ◽  
Liuhua Shi ◽  
Jingxuan Zhao ◽  
Pengfei Liu ◽  
Joel Schwartz ◽  
...  
Keyword(s):  
Air Pollution ◽  
Mortality Rate ◽  
Case Fatality Rate ◽  
Urban Air Pollution ◽  
Case Fatality ◽  
Ambient Air ◽  
County Level ◽  
Fatality Rate ◽  
P Values

AbstractBackgroundThe novel human coronavirus disease 2019 (COVID-19) pandemic has claimed more than 240,000 lives worldwide, causing tremendous public health, social, and economic damages. While the risk factors of COVID-19 are still under investigation, environmental factors, such as urban air pollution, may play an important role in increasing population susceptibility to COVID-19 pathogenesis.MethodsWe conducted a cross-sectional nationwide study using zero-inflated negative binomial models to estimate the association between long-term (2010-2016) county-level exposures to NO2, PM2.5 and O3 and county-level COVID-19 case-fatality and mortality rates in the US. We used both single and multipollutant models and controlled for spatial trends and a comprehensive set of potential confounders, including state-level test positive rate, county-level healthcare capacity, phase-of-epidemic, population mobility, sociodemographic, socioeconomic status, behavior risk factors, and meteorological factors.Results1,027,799 COVID-19 cases and 58,489 deaths were reported in 3,122 US counties from January 22, 2020 to April 29, 2020, with an overall observed case-fatality rate of 5.8%. Spatial variations were observed for both COVID-19 death outcomes and long-term ambient air pollutant levels. County-level average NO2 concentrations were positively associated with both COVID-19 case-fatality rate and mortality rate in single-, bi-, and tri-pollutant models (p-values<0.05). Per inter-quartile range (IQR) increase in NO2 (4.6 ppb), COVID-19 case-fatality rate and mortality rate were associated with an increase of 7.1% (95% CI 1.2% to 13.4%) and 11.2% (95% CI 3.4% to 19.5%), respectively. We did not observe significant associations between long-term exposures to PM2.5 or O3 and COVID-19 death outcomes (p-values>0.05), although per IQR increase in PM2.5 (3.4 ug/m3) was marginally associated with 10.8% (95% CI: −1.1% to 24.1%) increase in COVID-19 mortality rate.Discussions and ConclusionsLong-term exposure to NO2, which largely arises from urban combustion sources such as traffic, may enhance susceptibility to severe COVID-19 outcomes, independent of longterm PM2.5 and O3 exposure. The results support targeted public health actions to protect residents from COVID-19 in heavily polluted regions with historically high NO2 levels. Moreover, continuation of current efforts to lower traffic emissions and ambient air pollution levels may be an important component of reducing population-level risk of COVID-19 deaths.

scholarly journals Factors influencing COVID-19 case burden and fatality rates findings from secondary data analysis of major urban agglomerations in India

2020 ◽  
Vol 7 (8) ◽  
pp. 3284
Author(s):  
Deodatt M. Suryawanshi ◽  
Raghuram Venugopal ◽  
Ramchandra Goyal
Keyword(s):  
Data Analysis ◽  
Negative Correlation ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Secondary Data ◽  
Health Financing ◽  
Secondary Data Analysis ◽  
Fatality Rate ◽  
Health Index ◽  
Significant Difference

In December 2019, SARS COV-2 which originated in the Chinese city of Wuhan achieved pandemic proportions and spread rapidly to countries through International air traffic causing acute respiratory infection and deaths. Presence of International airports, demography, health financing and human developments factors were assumed to influence COVID-19 cases burden and case fatality rate (CFR). So, this study was undertaken to find a association between these factors and COVID-19 cases and deaths. The study used 48 districts using purposive sampling as proxy for cities and used secondary data analysis. Data was obtained for various variables like demographic, Health Financing, Indices and Testing infrastructure, COVID cases burden and case fatality from trusted sources. Descriptive statistics correlational statistics using Pearsons coefficient students T was used to describe, correlate and find significant difference in the data. The analysis found a significant difference between COVID cases burden in districts with International Airports (p<0.039) and those without it. Positive correlation of population density (r=0.65) with COVID-19 case burden and negative correlation of case fatality rate with NITI Aayogs health index (r=-0.12), human development index (HDI) (r=-0.18), per-capita expenditure on health (r=-0.072) and a correlation of r=0.16 was observed for gross state domestic product. Decongestion of cities through perspective urban planning is the need of the hour. Stricter quarantine measures in those districts with international airports can help reduce the transmission. Negative correlation of HDI and NITI Aayogs health index with CFR emphasizes the importance of improvements in social determinants of health.

scholarly journals Coronavirus Disease 2019 (COVID-19): A Modeling Study of Factors Driving Variation in Case Fatality Rate by Country

2020 ◽  
Vol 17 (21) ◽  
pp. 8189 ◽  
Author(s):  
Jennifer Pan ◽  
Joseph Marie St. Pierre ◽  
Trevor A. Pickering ◽  
Natalie L. Demirjian ◽  
Brandon K.K. Fields ◽  
...  
Keyword(s):  
Case Fatality Rate ◽  
Smoking Prevalence ◽  
Negative Binomial ◽  
Case Fatality ◽  
Potential Interaction ◽  
Fatality Rate ◽  
Social Distancing ◽  
Interaction Terms ◽  
Hospital Beds ◽  
Ct Scanners

Background: The novel Severe Acute Respiratory Syndrome Coronavirus-2 has led to a global pandemic in which case fatality rate (CFR) has varied from country to country. This study aims to identify factors that may explain the variation in CFR across countries. Methods: We identified 24 potential risk factors affecting CFR. For all countries with over 5000 reported COVID-19 cases, we used country-specific datasets from the WHO, the OECD, and the United Nations to quantify each of these factors. We examined univariable relationships of each variable with CFR, as well as correlations among predictors and potential interaction terms. Our final multivariable negative binomial model included univariable predictors of significance and all significant interaction terms. Results: Across the 39 countries under consideration, our model shows COVID-19 case fatality rate was best predicted by time to implementation of social distancing measures, hospital beds per 1000 individuals, percent population over 70 years, CT scanners per 1 million individuals, and (in countries with high population density) smoking prevalence. Conclusion: Our model predicted an increased CFR for countries that waited over 14 days to implement social distancing interventions after the 100th reported case. Smoking prevalence and percentage population over the age of 70 years were also associated with higher CFR. Hospital beds per 1000 and CT scanners per million were identified as possible protective factors associated with decreased CFR.

scholarly journals Economic development and road traffic injuries and fatalities in Thailand: an application of spatial panel data analysis, 2012–2016

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rapeepong Suphanchaimat ◽  
Vorasith Sornsrivichai ◽  
Supon Limwattananon ◽  
Panithee Thammawijaya
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Negative Binomial ◽  
Road Traffic ◽  
Statistical Significance ◽  
Case Fatality ◽  
Gdp Per Capita ◽  
Fatality Rate ◽  
Incidence Proportion ◽  
Per Capita

Abstract Background Road traffic injuries (RTIs) have been one of the most critical public health problems in Thailand for decades. The objective of this study was to examine to what extent provincial economy was associated with RTIs, road traffic deaths and case fatality rate in Thailand. Methods A secondary data analysis on time-series data was applied. The unit of analysis was a panel of 77 provinces during 2012–2016. Data were obtained from relevant public authorities, including the Ministry of Public Health. Descriptive statistics and econometric models, using negative binomial (NB) regression, negative binomial regression with random-effects (RE) model, and spatial Durbin model (SDM) were employed. The main predictor variable was gross domestic product (GDP) per capita and the outcome variables were incidence proportion of RTIs, traffic deaths and case fatality rate. The analysis was adjusted for key covariates. Results The incidence proportion of RTIs rose from 449.0 to 524.9 cases per 100,000 population from 2012 till 2016, whereas the incidence of traffic fatalities fluctuated between 29.7 and 33.2 deaths per 100,000 population. Case fatality rate steadily stood at 0.06–0.07 deaths per victim. RTIs and traffic deaths appeared to be positively correlated with provincial economy in the NB regression and the RE model. In the SDM, a log-Baht increase in GDP per capita (equivalent to a growth of GDP per capita by about 2.7 times) enlarged the incidence proportion of injuries and deaths by about a quarter (23.8–30.7%) with statistical significance. No statistical significance was found in case fatality rate by the SDM. The SDM also presented the best model fitness relative to other models. Conclusion The incidence proportion of traffic injuries and deaths appeared to rise alongside provincial prosperity. This means that RTIs-preventive measures should be more intensified in economically well-off areas. Furthermore, entrepreneurs and business sectors that gain economic benefit in a particular province should share responsibility in RTIs prevention in the area where their businesses are running. Further studies that explore others determinants of road safety, such as patterns of vehicles used, attitudes and knowledge of motorists, investment in safety measures, and compliance with traffic laws, are recommended.

scholarly journals Covid-19 High Attack Rate Can Lead to High Case Fatality Rate

2021 ◽  
Author(s):  
Tareef Fadhil Raham
Keyword(s):  
Mortality Rate ◽  
Attack Rate ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Positive Influence ◽  
P Value ◽  
Fatality Rate ◽  
Mean Values ◽  
Paired Samples ◽  
Significant Difference

Background: During the current Covid-19 pandemic case fatality rate (CFR) estimates were subjected to a lot of debates regarding the accuracy of its estimations, predictions, and the reason of across countries variances. In this context, we conduct this study to see the relationship between attack rate (AR) and CFR. The study hypothesis is based on two: 1- evidence suggests that the mortality rate (MR) has a positive influence on case fatality ratio (CFR), 2- and increase number of Covid-19 cases leads to increased mortality rate (MR). Material and methods: Thirty countries and territories were chosen. Inclusion criterion was > 500 Covid-19 reported cases per 10,000 population inhabitants. Data on covid-19 cases and deaths was selected as it was on March 10, 2021. Statistical methods used are descriptive and one-sample Kolmogorov-Smirnov (K-S), the one-way ANOVA, Levene, least significant different (LSD), and matched paired-samples T-tests. Results: ANOVA test showed a significant difference at P<0.01 among all studied groups concerning AR and CFR mean values. Group of countries with MR ≥ 15 death / 104 inhabitants recorded the highest level of crude mean CFR and AR values, and recorded the highest gap with leftover groups, especially with countries reported MR of <10 death/ 104 inhabitants. There were independence 95% confidence intervals of mean CFR and AR values between countries with ≥ 15 death / 104 MR and countries with MR of <10 death /104. There was a significant difference between countries with MR ≥ 15 death / 104 inhabitants and countries with MR of <10 death / 10 4 inhabitants groups through least significant difference (LSD) test for CFR%( 0.042 p-values) and Games Howell (GH) test for AR/104 (p-value 0.000). Conclusions: CFR has a positive significant association with AR.

scholarly journals Impact of Social Vulnerability on COVID-19 Incidence and Outcomes in the United States

2020 ◽  
Author(s):  
Aditi Nayak ◽  
Shabatun J. Islam ◽  
Anurag Mehta ◽  
Yi-An Ko ◽  
Shivani A. Patel ◽  
...  
Keyword(s):  
Social Vulnerability ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Vulnerability Index ◽  
County Level ◽  
Fatality Rate ◽  
Minority Status ◽  
Social Vulnerability Index ◽  
Unit Increase ◽  
The U.S

ABSTRACTImportancePrior pandemics have disparately affected socially vulnerable communities. Whether regional variations in social vulnerability to disasters influence COVID-19 outcomes and incidence in the U.S. is unknown.ObjectiveTo examine the association of Social Vulnerability Index (SVI), a percentile-based measure of county-level social vulnerability to disasters, and its sub-components (socioeconomic status, household composition, minority status, and housing type/transportation accessibility) with the case fatality rate (CFR) and incidence of COVID-19.DesignEcological study of counties with at least 50 confirmed COVID-19 cases as of April 4th, 2020. Generalized linear mixed-effects models with state-level clustering were applied to estimate county-level associations of overall SVI and its sub-component scores with COVID-19 CFR (deaths/100 cases) and incidence (cases/1000 population), adjusting for population percentage aged ≥65 years, and for comorbidities using the average Hierarchical Condition Category (HCC) score. Counties with high SVI (≥median) and high CFR (≥median) were identified.SettingPopulation-based study of U.S. county-level data.ParticipantsU.S. counties with at least 50 confirmed COVID-19 cases.Main outcomes and measuresCOVID-19 CFR and incidence.ResultsData from 433 counties including 283,256 cases and 6,644 deaths were analyzed. Median SVI was 0.46 [Range: 0.01-1.00], and median CFR and incidence were 1.9% [Range: 0-13.3] and 1.2 per 1000 people [Range: 0.6-38.8], respectively. Higher SVI, indicative of greater social vulnerability, was associated with higher CFR (RR: 1.19 [1.05, 1.34], p=0.005, per-1 unit increase), an association that strengthened after adjustment for age≥65 years and comorbidities (RR: 1.63 [1.38, 1.91], p<0.001), and was further confirmed in a sensitivity analysis limited to six states with the highest testing levels. Although the association between overall SVI and COVID-19 incidence was not significant, the SVI sub-components of socioeconomic status and minority status were both predictors of higher incidence and CFR. A combination of high SVI (≥0.46) and high adjusted CFR (≥2.3%) was observed in 28.9% of counties.Conclusions and RelevanceSocial vulnerability is associated with higher COVID-19 case fatality. High social vulnerability and CFR coexist in more than 1 in 4 U.S. counties. These counties should be targeted by public policy interventions to help alleviate the pandemic burden on the most vulnerable population.KEY POINTSQuestionIs county-level social vulnerability to disasters associated with the case fatality rate (CFR) and incidence of SARS-CoV-2 infection during the COVID-19 pandemic in the U.S.?FindingsEach unit increase in county-level social vulnerability, measured using the Social Vulnerability Index (SVI), was associated with a 63% higher CFR after adjusting for age and comorbidities. Both CFR and incidence of COVID-19 were significantly higher in counties with lower socio-economic status and higher proportion of minority populations.MeaningU.S. counties with higher social vulnerability are experiencing greater mortality rates during the COVID-19 pandemic.

scholarly journals Morbidity, mortality and case fatality rate from chronic hepatitis B with and without a delta agent in Kyrgyzstan for the period 2010–2017

2020 ◽  
Vol 1 (10) ◽  
pp. 39-44
Author(s):  
K. A. Nogoibaeva ◽  
S. T. Tobokalova ◽  
K. T. Kasymbekova ◽  
S. I. Umarova
Keyword(s):  
Hepatitis B ◽  
Viral Hepatitis ◽  
Case Fatality Rate ◽  
Age Groups ◽  
Case Fatality ◽  
Chronic Viral Hepatitis ◽  
Fatality Rate ◽  
Significant Difference ◽  
Viral Hepatitis B ◽  
Microsoft Office

The purpose of the study is to research the morbidity, mortality and case fatality rate y of chronic viral hepatitis B without and with a delta agent from 2010–2017. in Kyrgyzstan.Materials and methods: analyzed state reporting forms No. 12 “Report on morbidity and preventive work (family medicine center, dispensary)” and “C51 — Distribution of deaths by sex, age groups and causes of death” from 2010–2017. Data processed by Microsoft Office Excel.Results: In the country from 2010–2017 3292 cases of chronic viral hepatitis B were detected, 1738 patients of them verified an independent course (СhHBV), and 1,554 patients combined with a delta agent (СhHDV), while the incidence did not have a statistically significant difference (3.80/0000, 95% CI 2.4–4.0 and 3.40/0000, 95% CI 2.2–3.4, СhHBV and СhHDV, respectively) were 20 times lower compared to the HBV Carrier (60 40/0000). There was no statistically significant difference between the cumulative morbidity, mortality, case fatality rate and the proportion of deaths in СhHBV and СhHDV. The death rate СhHBV increased by 4.7 times (0.090/0000 and 0.410/0000), case fatality rate — by 11.8 times (1355.00/0000 and 16025.60/0000) amid a decrease the incidence is 2.5 times (6.40/0000 and 2.50/0000) from 2014 to 2017, respectively. At СhHDV, the mortality rate was also increased by 4.7 times (0.030/0000 and 0.160/0000), case fatality rate — by 32.3 times (793.70/0000 and 25641.80/0000) against the background of a decrease in incidence by 6.9 times (4.40/0000 and 0.60/0000) from 2014 to 2017, respectively.Conclusion: In Kyrgyzstan from 2010–2017, relatively low detectability of chronic forms of HBV infection with and without delta agent was found, compared with the “HBV carrier”. There has been an increase in mortality and case fatality rate over the past 4 years, with a sharp rise in 2017 against the background of a downward trend in the incidence of СhHBV and СhHDV.

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