scholarly journals Temporal Association Between Particulate Matter Pollution and Case Fatality Rate of COVID-19 in Wuhan, China

2020 ◽  
Author(s):  
Ye Yao ◽  
Jinhua Pan ◽  
Zhixi Liu ◽  
Xia Meng ◽  
Weidong Wang ◽  
...  
Keyword(s):  
Time Series ◽  
Particulate Matter ◽  
Time Series Analysis ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Temporal Scale ◽  
Temporal Association ◽  
Fatality Rate ◽  
Day By Day ◽  
Particulate Matter Pollution

AbstractThe Coronavirus (COVID-19) epidemic, which was first reported in December 2019 in Wuhan, China, has caused 3,314 death as of March 31, 2020 in China. This study aimed to investigate the temporal association between case fatality rate (CFR) of COVID-19 and particulate matter (PM) in Wuhan. We conducted a time series analysis to explore the temporal day-by-day associations. We found COVID-19 held higher case fatality rate with increasing concentrations of PM2.5 and PM10 in temporal scale, which may affect the process of patients developed from mild to severe and finally influence the prognosis of COVID-19 patients.

scholarly journals Temporal association between particulate matter pollution and case fatality rate of COVID-19 in Wuhan

2020 ◽  
Vol 189 ◽  
pp. 109941 ◽  
Author(s):  
Ye Yao ◽  
Jinhua Pan ◽  
Zhixi Liu ◽  
Xia Meng ◽  
Weidong Wang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Temporal Association ◽  
Fatality Rate ◽  
Particulate Matter Pollution

scholarly journals The Global Case-Fatality Rate of COVID-19 Has Been Declining Since May 2020

2021 ◽  
Author(s):  
Mohammad Nayeem Hasan ◽  
Najmul Haider ◽  
Florian L. Stigler ◽  
Rumi Ahmed Khan ◽  
David McCoy ◽  
...  
Keyword(s):  
Time Series ◽  
Case Fatality Rate ◽  
Moving Average ◽  
Case Fatality ◽  
Mortality Data ◽  
Fatality Rate ◽  
Peak Period ◽  
Prevalence Of Obesity ◽  
Simple Exponential Smoothing ◽  
Rate Ratios

The objective of this study was to evaluate the trend of reported case fatality rate (rCFR) of COVID-19 over time, using globally reported COVID-19 cases and mortality data. We collected daily COVID-19 diagnoses and mortality data from the WHO’s daily situation reports dated January 1 to December 31, 2020. We performed three time-series models [simple exponential smoothing, auto-regressive integrated moving average, and automatic forecasting time-series (Prophet)] to identify the global trend of rCFR for COVID-19. We used beta regression models to investigate the association between the rCFR and potential predictors of each country and reported incidence rate ratios (IRRs) of each variable. The weekly global cumulative COVID-19 rCFR reached a peak at 7.23% during the 17th week (April 22–28, 2020). We found a positive and increasing trend for global daily rCFR values of COVID-19 until the 17th week (pre-peak period) and then a strong declining trend up until the 53rd week (post-peak period) toward 2.2% (December 29–31, 2020). In pre-peak of rCFR, the percentage of people aged 65 and above and the prevalence of obesity were significantly associated with the COVID-19 rCFR. The declining trend of global COVID-19 rCFR was not merely because of increased COVID-19 testing, because COVID-19 tests per 1,000 population had poor predictive value. Decreasing rCFR could be explained by an increased rate of infection in younger people or by the improvement of health care management, shielding from infection, and/or repurposing of several drugs that had shown a beneficial effect on reducing fatality because of COVID-19.

Impact of a multifaceted intervention to improve emergency care on newborn and child health outcomes in Rwanda

2021 ◽  
Author(s):  
Celestin Hategeka ◽  
Larry D Lynd ◽  
Cynthia Kenyon ◽  
Lisine Tuyisenge ◽  
Michael R Law
Keyword(s):  
Time Series ◽  
Confidence Interval ◽  
Hospital Mortality ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Mortality Rates ◽  
Fatality Rate ◽  
Paediatric Hospital ◽  
Child Health Outcomes ◽  
And Child Health

Abstract Implementing context-appropriate neonatal and paediatric advanced life support management interventions has increasingly been recommended as one of the approaches to reduce under-five mortality in resource-constrained settings like Rwanda. One such intervention is ETAT+, which stands for Emergency Triage, Assessment and Treatment plus Admission care for severely ill newborns and children. In 2013, ETAT+ was implemented in Rwandan district hospitals. We evaluated the impact of the ETAT+ intervention on newborn and child health outcomes. We used monthly time-series data from the DHIS2-enabled Rwanda Health Management Information System from 2012 to 2016 to examine neonatal and paediatric hospital mortality rates. Each hospital contributed data for 12 and 36 months before and after ETAT+ implementation, respectively. Using controlled interrupted time-series analysis and segmented regression model, we estimated longitudinal changes in neonatal and paediatric hospital mortality rates in intervention hospitals relative to matched concurrent control hospitals. We also studied changes in case fatality rate specifically for ETAT+-targeted conditions. Our study cohort consisted of 7 intervention hospitals and 14 matched control hospitals contributing 142 424 neonatal and paediatric hospital admissions. After controlling for secular trends and autocorrelations, we found that the ETAT+ implementation had no statistically significant impact on the rate of all-cause neonatal and paediatric hospital mortality in intervention hospitals relative to control hospitals. However, the case fatality rate for ETAT+-targeted neonatal conditions decreased immediately following implementation by 5% (95% confidence interval: −9.25, −0.77) and over time by 0.8% monthly (95% confidence interval: −1.36, −0.25) in intervention hospitals compared with control hospitals. Case fatality rate for ETAT+-targeted paediatric conditions did not decrease following the ETAT+ implementation. While ETAT+ focuses on improving the quality of hospital care for both newborns and children, we only found an impact on neonatal hospital mortality for ETAT+-targeted conditions that should be interpreted with caution given the relatively short pre-intervention period and potential regression to the mean.

scholarly journals Analisis Survival pada Data Pasien Covid 19 di Kabupaten Jember

2020 ◽  
Vol 8 (4) ◽  
pp. 118
Author(s):  
Bella Audina ◽  
Mohamat Fatekurohman
Keyword(s):  
Case Fatality Rate ◽  
Case Fatality ◽  
Test Method ◽  
Rank Test ◽  
Fatality Rate ◽  
Log Rank Test ◽  
Kaplan Meier ◽  
Curve Method ◽  
Male Sex ◽  
Day By Day

The confirmed number of positive Covid 19 cases in Indonesia until June 15th, 2020 was 38.227 people with 3.134 dead, case fatality rate 5,9%. Case fatality rate is the percentage of the number of dead people from all confirmed and reported positive cases . Particularly, in Jember Regency, the spreading of Covid 19 is still underway day by day with the increasing of number of patient so that appropriate preventive and treatment should be done precisely. The problem of the paper is the survival analysis of Covid 19 patient by using Kaplan Meier and Log Rank test method. The result of this paper, the result of the analysis using Kaplan Meier Curve method, patients with male sex have a chance of recovering faster compared with female patients and patients with age interval of 40-49 years have a chance of recovering faster than any other age intervals, meanwhile Log rank test did not provide significant results. So the Kaplan Meier Curve method is more appropriate to analyze Covid 19 patient data in Jember compared to the Log rank test.

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