Crude Case Fatality Rate Research Articles

A low burden of severe illness: the COVID-19 Omicron outbreak in the remote Torres and Cape region of Far North Queensland.

A coronavirus disease 2019 (COVID-19) outbreak was declared in the remote Torres and Cape region of Far North Queensland soon after the Queensland border opened for quarantine-free domestic travel in December 2021, with a total of 7,784 cases notified during the first ten-month outbreak period. We report a crude attack rate among residents of 25.6% (95% confidence interval [95% CI]: 25.1-26.1%), a hospitalisation rate of 1.6% (95% CI: 1.3-1.9%) and a crude case fatality rate of 0.05% (95% CI: 0.01-0.13%). Hospitalisation and case fatality rates were similar among First Nations and non-Indigenous people, with double dose COVID-19 vaccination rates higher among First Nations than non-Indigenous people by the end of the outbreak period. We attribute the low burden of severe illness to local community leadership, community engagement, vaccination coverage and recency, and community participation in a local culturally considered COVID-19 care-in-the-home program.

Geographic Disparities in Case Fatality and Discharge Disposition Among Patients With Primary Intracerebral Hemorrhage

Background We evaluate nationwide trends and urban-rural disparities in case fatality (in-hospital mortality) and discharge dispositions among patients with primary intracerebral hemorrhage (ICH). Methods and Results In this repeated cross-sectional study, we identified adult patients (≥18 years of age) with primary ICH from the National Inpatient Sample (2004-2018). Using a series of survey design Poisson regression models, with hospital location-time interaction, we report the adjusted risk ratio (aRR), 95% CI, and average marginal effect (AME) for factors associated with ICH case fatality and discharge dispositions. We performed a stratified analysis of each model among patients with extreme loss of function and minor to major loss of function. We identified 908 557 primary ICH hospitalizations (overall mean age [SD], 69.0 [15.0] years; 445 301 [49.0%] women; 49 884 [5.5%] rural ICH hospitalizations). The crude ICH case fatality rate was 25.3% (urban hospitals: 24.9%, rural hospitals:32.5%). Urban (versus rural) hospital patients had a lower likelihood of ICH case fatality (aRR, 0.86 [95% CI, 0.83-0.89]). ICH case fatality is declining over time; however, it is declining faster in urban hospitals (AME, -0.049 [95% CI, -0.051 to -0.047]) compared with rural hospitals (AME, -0.034 [95% CI, -0.040 to -0.027]). Conversely, home discharge is increasing significantly among urban hospitals (AME, 0.011 [95% CI, 0.008-0.014]) but not significantly changing in rural hospitals (AME, -0.001 [95% CI, -0.010 to 0.007]). Among patients with extreme loss of function, hospital location was not significantly associated with ICH case fatality or home discharge. Conclusions Improving access to neurocritical care resources, particularly in resource-limited communities, may reduce the ICH outcomes disparity gap.

The impact of COVID-19 on residents of long-term care facilities with learning disabilities and/or autism.

The COVID-19 pandemic has had disproportionate impact on vulnerable populations including those with learning disabilities. Assessing the incidence and risk of death in such settings can improve the prevention of COVID-19. We describe individuals who tested positive for SARS-CoV-2 while residing in care homes for learning disabilities and/or autism and investigate the risk of death compared with individuals living in their own homes. Surveillance records for COVID-19 infections in England from 02 February 2020 to 31 March 2022 were extracted. Data on property type, variant wave, vaccination, hospitalisation and death were derived through data linkage and enrichment. Care home residents with learning disabilities and/or autism and diagnosed with COVID-19 were identified and analysed, and logistic regression analyses compared the risk of death of individuals living in private residence. We assessed interaction parameters by post-estimation analyses. A total of 3501 individuals were identified as diagnosed with SARS-CoV-2 whilst living in 632 care home properties for learning disabilities and/or autism. Of the 3686 episodes of infection, 80.4% were part of an outbreak. The crude case fatality rate was 2.6% and 0.6% among care home residents with autism and/or learning disabilities and their counterparts in households, respectively.The post-estimation analyses found over eight times the odds of death among care home residents in 60 years old compared with their counterparts living in private homes. Care home residents with learning disabilities and/or autism have a greater risk of death from COVID-19. Optimising guidance to meet their needs is of great importance.

Complication experience during pregnancy and place of delivery among pregnant women: a cross-sectional study

BackgroundUnlike other causes such as abortion, obstetric complications like hemorrhage, and hypertensive disorders of pregnancy, which are difficult to resolve for women who give birth out of health facilities are persisted or increased to be the cause of maternal mortality in Ethiopia. Direct obstetric complications resulted in the crude direct obstetric case fatality rate in this country. This study aimed to assess the relationship between Complication Experience during Pregnancy and Place of Delivery among Pregnant Women.MethodA community-based cross-sectional study was conducted to assess the baseline information as a part of a randomized control trial study. The sample size that was calculated for the cohort study with the assumptions to detect an increase in a minimum acceptable diet from 11 to 31%, with 95% CIs and 80% power, an intra-cluster correlation coefficient of 0·2 for a cluster size of 10 was used for this study. Statistical analysis was done using SPSS version 22.ResultThe prevalence of self-reported pregnancy-related complications and home delivery were 79(15.9%, CI; 12.7–19.1) and 46.90% (95%CI; 42.5–51.1) respectively. Women who did not face vaginal bleeding were five times AOR 5.28(95% CI: 1.79–15.56) more like to give birth at home than those who faced this problem. Women who did not face severe headache were nearly three AOR 2.45(95%CI:1.01–5.97) times more like to give birth at home.ConclusionThis study concluded that home delivery was high among the study participants whereas pregnancy-related complications such as vaginal bleeding and severe headache were identified as protective factors for facility delivery. Hence, the researchers recommended the incorporation of “storytelling” into the existing health extension program packages to improve facility delivery which shall be applied after the approval of its effectiveness by further research.

Prevalence and epidemiological trends in mortality due to COVID-19 in Saudi Arabia

ObjectivesThis article describes the prevalence and epidemiological trends of COVID-19 mortality in the largest registry in the Kingdom of Saudi Arabia (KSA). Study designA prospective epidemiological cohort study using data from all healthcare facilities in KSA collected between March 23, 2020, and April 30, 2022. Data on the number of daily deaths directly related to COVID-19 were gathered, analyzed, and reported. MethodData analysis was carried out using national and regional crude case fatality rate and death per 100,000 population. Descriptive statistics using numbers and proportions were used to describe age, gender, nationality, and comorbidities. The mortality trend was plotted and compared with international figures. In addition, the most common comorbidities associated with mortality and the proportion of patients who received COVID-19 vaccine were reported. ResultsThe total reported number of deaths between March 23, 2020, and April 30, 2022, was 9085. Crude case fatality rate was 1.21%, and death per 100,000 population was 25.38, which compared favorably to figures reported by several developed countries. The highest percentages of deaths were among individuals aged between 60 and 69 years, males (71%), and individuals with diabetes (60%). Only 2.8% of mortalities occur in patients who received COVID-19 vaccine. Diabetes, hypertension, and heart failure had the highest attributable risk of mortality among patients who died due to COVID-19. ConclusionCase fatality rate and death per 100,000 population in KSA are among the lowest in the world due to multiple factors. Several comorbidities have been identified, namely, diabetes, hypertension, obesity, and cardiac arrhythmias.

Time-series comparison of COVID-19 case fatality rates across 21 countries with adjustment for multiple covariates.

Although it is widely used as a measure for mortality, the case fatality rate (CFR) ofcoronavirus disease 2019 (COVID-19) can vary over time and fluctuate for many reasons otherthan viral characteristics. To compare the CFRs of different countries in equal measure, weestimated comparable CFRs after adjusting for multiple covariates and examined the mainfactors that contributed to variability in the CFRs among 21 countries. For statistical analysis, time-series cross-sectional data were collected from OurWorld in Data, CoVariants.org, and GISAID. Biweekly CFRs of COVID-19 were estimated bypooled generalized linear squares regression models for the panel data. Covariates includedthe predominant virus variant, reproduction rate, vaccination, national economic status,hospital beds, diabetes prevalence, and population share of individuals older than age 65. Intotal, 21 countries were eligible for analysis. Adjustment for covariates reduced variation in the CFRs of COVID-19 across countriesand over time. Regression results showed that the dominant spread of the Omicron variant,reproduction rate, and vaccination were associated with lower country-level CFRs, whereasage, the extreme poverty rate, and diabetes prevalence were associated with higher countrylevel CFRs. A direct comparison of crude CFRs among countries may be fallacious, especiallyin a cross-sectional analysis. Our study presents an adjusted comparison of CFRs over timefor a more proper comparison. In addition, our findings suggest that comparing CFRs amongdifferent countries without considering their context, such as the epidemic phase, medicalcapacity, surveillance strategy, and socio-demographic traits, should be avoided.

Sex-Based Differences in 30-Day Readmissions After Cardiac Arrest: Analysis of the Nationwide Readmissions Database.

Background There are limited data on the sex-based differences in the outcome of readmission after cardiac arrest. Methods and Results Using the Nationwide Readmissions Database, we analyzed patients hospitalized with cardiac arrest between 2010 and 2015. Based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, we identified comorbidities, therapeutic interventions, and outcomes. Multivariable logistic regression was performed to assess the independent association between sex and outcomes. Of 835 894 patients, 44.4% (n=371 455) were women, of whom 80.7% presented with pulseless electrical activity (PEA)/asystole. Women primarily presented with PEA/asystole (80.7% versus 72.4%) and had a greater comorbidity burden than men, as assessed using the Elixhauser Comorbidity Score. Thirty-day readmission rates were higher in women than men in both PEA/asystole (20.8% versus 19.6%) and ventricular tachycardia/ventricular fibrillation arrests (19.4% versus 17.1%). Among ventricular tachycardia/ventricular fibrillation arrest survivors, women were more likely than men to be readmitted because of noncardiac causes, predominantly infectious, respiratory, and gastrointestinal illnesses. Among PEA/asystole survivors, women were at higher risk for all-cause (adjusted odds ratio [aOR], 1.07; [95% CI, 1.03-1.11]), cardiac-cause (aOR, 1.15; [95% CI, 1.06-1.25]), and noncardiac-cause (aOR, 1.13; [95% CI, 1.04-1.22]) readmission. During the index hospitalization, women were less likely than men to receive therapeutic procedures, including coronary angiography and targeted therapeutic management. While the crude case fatality rate was higher in women, in both ventricular tachycardia/ventricular fibrillation (51.8% versus 47.4%) and PEA/asystole (69.3% versus 68.5%) arrests, sex was not independently associated with increased crude case fatality after adjusting for differences in baseline characteristics. Conclusions Women are at increased risk of readmission following cardiac arrest, independent of comorbidities and therapeutic interventions.

Comparing COVID-19 fatality across countries: a synthetic demographic indicator.

The case fatality rate (CFR) is one of the most important measures for monitoring disease progression and evaluating appropriate policy health measures over the course of the COVID-19 pandemic. To remove biases arising from the age structure of COVID-19 cases in international comparisons of the CFR, existing studies have relied mainly on direct standardisation. We propose and validate a synthetic indicator of COVID-19 fatality (SCFR) that improves its comparability across countries by adjusting for the age and sex structure of COVID-19 cases without relying on the arbitrary choice of a standard population. Contrary to what comparisons of the crude CFR suggest, differences in COVID-19 fatality across countries according to the proposed SCFR are not very stark. Importantly, once we adjust for the age structure of COVID-19 cases, the higher case fatality among men emerges as the main driver of international differences in COVID-19 CFR. The SCFR is a simple indicator that is useful for monitoring the fatality of SARS-CoV-2 mutations and the efficacy of health policy measures for COVID-19, including vaccination. (1) A simple synthetic indicator of COVID-19 fatality that improves its comparability across countries by adjusting for the age and sex structure of COVID-19 cases; (2) Evidence that sex differences in COVID-19 fatality drive international differences in the overall CFR.

Chronic hemodialysis patients with COVID-19 cared for by the public health system have higher mortality than those treated in private facilities: analysis of the Brazilian dialysis registry.

PurposeBrazil is the third country globally in dialysis patients. Little is known about the impact of the type of health insurance on the outcome of these patients after COVID-19. MethodsWe analyzed comorbidities, sociodemographic factors, and dialysis-related parameters from a retrospective cohort study of 1866 Brazilian chronic hemodialysis patients with COVID-19 from Feb 2020–July 2021. We evaluated the influence of health insurance (private vs. public) on the intensive care unit admission and 90 day fatality risk. ResultsFrom 1866 hemodialysis patients, 455 (24%) were admitted to the intensive care unit, and 350 (19%) died. The mean age was 57.5 years, 88% had public health insurance. Crude case-fatality rate was not different between groups (private vs. public risk ratio 1.11; 95% CI 0.82–1.52, p = 0.498). In fully adjusted multivariate models, patients with private health insurance did not have a higher chance to be admitted to an intensive care unit (odds ratio 0.97; 95% CI 0.63–1.50, p = 0.888), but they presented a lower death risk (hazard ratio 0.56; 95% CI 0.37–0.85, p = 0.006).ConclusionThe type of health insurance did not influence the access of hemodialysis patients with COVID-19 to an intensive care unit, but patients with private health insurance had a lower mortality risk. Supplementary InformationThe online version contains supplementary material available at 10.1007/s11255-022-03289-z.

Comparison of the Characteristics and Outcomes of COVID-19 Patients Treated by a Hospital-at-Home Service in Japan during the Alpha and Delta Waves.

Coronavirus infections occurred in repeated waves caused by different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with the number of patients increasing during each wave. A private after-hours house-call (AHHC) service provides hospital-at-home (HaH) services to patients in Japan requiring oxygen when hospital beds are in short supply. This retrospective study aimed to compare the characteristics of COVID-19 patients treated by the AHHC service during the COVID-19 waves caused by the Alpha (March–June 2021) and Delta (July–December 2021) SARS-CoV-2 variants. All patients with COVID-19 treated by the AHHC service from March to December 2021 while awaiting hospitalization were included. The data were collected from medical records and follow-up telephone interviews. The AHHC service treated 55 and 273 COVID-19 patients during the Alpha and Delta waves, respectively. The patients treated during the Delta wave were significantly younger than those treated during the Alpha wave (median: 63 years and 47 years, respectively; p < 0.001). Disease severity did not differ significantly between the two waves, but the crude case-fatality rate was significantly higher during the Alpha wave (10/55, 18.2%) than during the Delta wave (4/273, 1.4%; p < 0.001). The patient characteristics and outcomes differed between the Alpha and Delta waves.

COVID-19 case-fatality variations with application to the Middle East countries.

During a pandemic outbreak, it is important for health officials to know the proportions of deaths among infected individuals and to understand how these proportions change overtime, to accurately predict the impact of the pandemic and to implement effectively new intervention policies and health protocols and to adjust them accordingly. However, most studies where efforts have been made to estimate accurately the case fatality rates did not address the issue of measuring the dynamics of the pandemic deadliness during its course. Daily data on COVID-19 cases and deaths were collected from selected MENA countries. In this paper, two new measures of the pandemic fatality are developed based on the estimated time it takes hospitalized infected patients to eventually die from the disease. The first measure assigns COVID-19 deaths to its most significant lagged number of cases based on a fixed-effects panel data model. The second fatality measure relates pandemic deaths and cases based on their respective change points. The results find notable variations of the pandemic lethality between the Middle East countries, likely due to the difference in the quality of health care. Although crude case-fatality rate does not identify the pandemic lethality variations during the ongoing of the disease, this paper develops two novel measures for COVID-19 case fatality which can identify the dynamics and the variations of the pandemic deadliness.

The age structure of cases as the key of COVID-19 severity: Longitudinal population-based analysis of European countries during 150 days.

Over a million confirmed cases of the coronavirus disease (COVID-19) across 16 European countries were observed during the first wave of the pandemic. Epidemiological measures like the case fatality rate (CFR) are generally used to determine the severity of the illness. The aim is to investigate the impact of the age structure of reported cases on the reported CFR and possibilities of its demographic adjustment for a better cross-country comparison (age-standardized CFRs, time delay between cases detection and death). This longitudinal study uses prospective, population-based data covering 150 days, starting on the day of confirmation of the 100th case in each country. COVerAGE-DB and the Human Mortality Database were used in this regard. The age-standardized CFRs were calculated with and without the time delay of the number of deaths after the confirmation of the cases. The observed decline in the CFRs at the end of the first wave is partly given by the changes in the age structure of confirmed cases. Using the adjusted (age-standardized) CFRs with time delay, the risk of death among confirmed cases is much more stable in comparison to crude (observed) CFRs. Preventing the spread of COVID-19 among the elderly is an important way to positively influence the overall fatality rate, decrease the number of deaths, and not overload the health systems. The crude CFRs (still often presented) are not sufficient for a proper evaluation of the development across populations nor as a means of identifying the influencing factors.

Neonatal multidrug-resistant bacterial meningitis: a 29-year study from a tertiary hospital in Thailand.

This study aimed to compare the risks and case fatality rate (CFR) between neonatal multidrug-resistant (MDR) and non-MDR meningitis. a secondary analysis of a case-control studies in a Thai neonatal intensive care unit between 1990 and 2018 was performed. The pathogenic organisms causing neonatal meningitis were Staphylococcus aureus, Enterococcus spp., Enterobacteriaceae, Acinetobacter spp., and Pseudomonas aeruginosa. A MDR organism was defined as an isolate that was non-susceptible to at least 1 agent in at least 3 antimicrobial categories. The multivariate regression was analyzed for MDR and non-MDR samples of neonatal meningitis. Over a period of 29 years, the number of neonatal MDR and non-MDR meningitis cases were 17 and 21, respectively. The medians (interquartile ranges) of gestational age, birthweight and onset of meningitis were 35 (29.5-38) weeks, 1,945 (1,218-2,859) grams and 6.5 (2.8-17.9) days, respectively. The most common organism was Acinetobacter baumannii (32%). By multivariate analysis, neonates who had MDR meningitis were more likely to have a lower Apgar score at 5 minutes (adjusted odds ratio: 95% confidence intervals = 0.66 [0.44-0.99], p = 0.04). The crude CFR of neonatal meningitis was 32%. Non-survivors in MDR meningitis (58.8%) were significantly higher than non-MDR meningitis (9.5%, p = 0.004). The most common pathogen in non-survivors was carbapenem-resistant Acinetobacter baumannii. Neonatal MDR meningitis has an association with lower APGAR scores, and higher CFR as well as Acinetobacter baumannii. Multifaceted infection prevention, and control programs for MDR organisms are crucial, and must be strictly implemented in high MDR areas.

Finding the real COVID-19 case-fatality rates for SAARC countries

The crude case fatality rate (CFR), because of the calculation method, is the most accurate when the pandemic is over since there is a possibility of the delay between disease onset and outcomes. Adjusted crude CFR measures can better explain the pandemic situation by improving the CFR estimation. However, no study has thoroughly investigated the COVID-19 adjusted CFR of the South Asian Association For Regional Cooperation (SAARC) countries. This study estimated both survival interval and underreporting adjusted CFR of COVID-19 for these countries. Moreover, we assessed the crude CFR between genders and across age groups and observed the CFR changes due to the imposition of fees on COVID-19 tests in Bangladesh. Using the daily records up to October 9, we implemented a statistical method to remove the delay between disease onset and outcome bias, and due to asymptomatic or mild symptomatic cases, reporting rates lower than 50% (95% CI: 10%–50%) bias in crude CFR. We found that Afghanistan had the highest CFR, followed by Pakistan, India, Bangladesh, Nepal, Maldives, and Sri Lanka. Our estimated crude CFR varied from 3.708% to 0.290%, survival interval adjusted CFR varied from 3.767% to 0.296% and further underreporting adjusted CFR varied from 1.096% to 0.083%. Furthermore, the crude CFRs for men were significantly higher than that of women in Afghanistan (4.034% vs. 2.992%) and Bangladesh (1.739% vs. 1.337%) whereas the opposite was observed in Maldives (0.284% vs. 0.390%), Nepal (0.006% vs. 0.007%), and Pakistan (2.057% vs. 2.080%). Besides, older age groups had higher risks of death. Moreover, crude CFR increased from 1.261% to 1.572% after imposing the COVID-19 test fees in Bangladesh. Therefore, the authorities of countries with higher CFR should be looking for strategic counsel from the countries with lower CFR to equip themselves with the necessary knowledge to combat the pandemic. Moreover, caution is needed to report the CFR.

Spatiotemporal visualization for the global COVID-19 surveillance by\xa0balloon chart

BackgroundConsidering the widespread of coronavirus disease 2019 (COVID-19) pandemic in the world, it is important to understand the spatiotemporal development of the pandemic. In this study, we aimed to visualize time-associated alterations of COVID-19 in the context of continents and countries.MethodsUsing COVID-19 case and death data from February to December 2020 offered by Johns Hopkins University, we generated time-associated balloon charts with multiple epidemiological indicators including crude case fatality rate (CFR), morbidity, mortality and the total number of cases, to compare the progression of the pandemic within a specific period across regions and countries, integrating seven related dimensions together. The area chart is used to supplement the display of the balloon chart in daily new COVID-19 case changes in UN geographic regions over time. Javascript and Vega-Lite were chosen for programming and mapping COVID-19 data in browsers for visualization.ResultsFrom February 1st to December 20th 2020, the COVID-19 pandemic spread across UN subregions in the chronological order. It was first reported in East Asia, and then became noticeable in Europe (South, West and North), North America, East Europe and West Asia, Central and South America, Southern Africa, Caribbean, South Asia, North Africa, Southeast Asia and Oceania, causing several waves of epidemics in different regions. Since October, the balloons of Europe, North America and West Asia have been rising rapidly, reaching a dramatically high morbidity level ranging from 200 to 500/10 000 by December, suggesting an emerging winter wave of COVID-19 which was much bigger than the previous ones. By late December 2020, some European and American countries displayed a leading mortality as high as or over 100/100 000, represented by Belgium, Czechia, Spain, France, Italy, UK, Hungary, Bulgaria, Peru, USA, Argentina, Brazil, Chile and Mexico. The mortality of Iran was the highest in Asia (over 60/100 000), and that of South Africa topped in Africa (40/100 000). In the last 15 days, the CFRs of most countries were at low levels of less than 5%, while Mexico had exceptional high CFR close to 10%.ConclusionsWe creatively used visualization integrating 7-dimensional epidemiologic and spatiotemporal indicators to assess the progression of COVID-19 pandemic in terms of transmissibility and severity. Such methodology allows public health workers and policy makers to understand the epidemics comparatively and flexibly.

Regional Variability in COVID-19 Case Fatality Rate in Canada, February-December 2020.

A total of 475,214 COVID-19 cases, including 13,659 deaths, had been recorded in Canada as of 15 December 2020. The daily reports of confirmed cases and deaths in Canada prior to 15 December 2020 were obtained from publicly available sources and used to examine regional variations in case fatality rate (CFR). Based on a factor of underestimation and the duration of time from symptom onset to death, the time-delay adjusted CFR for COVID-19 was estimated in the four most affected provinces (Quebec, Ontario, Alberta, and British Columbia) and nationwide. The model-based adjusted CFR was higher than the crude CFR throughout the pandemic, primarily owing to the incorporation in our estimation of the delay between case reports and deaths. The adjusted CFR in Canada was estimated to be 3.36% nationwide. At the provincial level, the adjusted CFR was the highest in Quebec (5.13%)—where the proportion of deaths among older individuals was also the highest among the four provinces—followed by Ontario (3.17%), British Columbia (1.97%), and Alberta (1.13%). Provincial-level variations in CFR were considerable, suggesting that public health interventions focused on densely populated areas and elderly individuals can ameliorate the mortality burden of the COVID-19 pandemic.

Prevalence and Epidemiological Trends in Mortality Due to COVID-19 in Saudi Arabia

Background: Coronavirus disease of 2019 (COVID-19) created a major public health emergency and an international concern. It is an infectious respiratory illness caused by acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The international mortality rates due to COVID-19 reached 2,748,763 on March 24, 2021. We describe the prevalence, case fatality rate, and epidemiological trends of COVID-19 mortality in Saudi Arabia in this paper.Method: A systematic approach of evaluating COVID-19 related mortalities was established in Saudi Arabia. A scientific committee that evaluated all reported cases with suspicious or confirmed COVID-19 disease using a standardized electronic form. A data registry of all deaths with all clinical parameters was built based on active reporting from all healthcare facilities in Saudi Arabia. Analysis of data using national and regional crude case fatality rate (cCFR) and death per 100,000 population was carried. Descriptive analysis of age, gender, nationality, and comorbidities. Mortality trend was plotted per week and compared to international figures.Results: The total reported number of deaths between March 23rd until April 9, 2021 was 6,737. cCFR was reported as 1.70%, and death per 100,000 population was reported as 19.24 which compared favourably to figures reported by several developed countries. Highest percentages of deaths were among individuals aged between 60-69 years, males (74%), individuals with diabetes (60%), and Hypertension (50%).Conclusion: Case fatality rate and death per 100,000 population in Saudi Arabia is among the lowest in the world due to multiple factors. Several comorbidities have been identified namely diabetes, hypertension, obesity, and cardiac arrhythmias.Funding Statement: This research project was not funded by any commercial or non-commercial organization.Declaration of Interests: The authors of this manuscript have no conflicts of interest.Ethics Approval Statement: This study was approved by the central IRB of the Saudi Ministry ofHealth.

An assessment of case-fatality and infection-fatality rates of first and second COVID-19 waves in Italy.

Background and aim:The exact COVID-19 severity is still not well defined and it is hotly debated due to a few methodological issues such as the uncertainties about the spread of the SARS-CoV-2 infection.Methods:We investigated COVID-19 case-fatality rate and infection-fatality rate in 2020 in Italy, a country severely affected by the pandemic, basing our assessment on publicly available data, and calculating such measures during the first and second waves.Results:We found that province-specific crude case-fatality rate in the first wave (February-July 2020) had a median value of 12.0%. Data about infection-fatality rate was more difficult to compute, due to large underestimation of SARS-CoV-2 infection during the first wave when asymptomatic individuals were very rarely tested. However, when using reference population-based seroprevalence data for anti-SARS-CoV-2 antibodies collected in May-July 2020, we computed an infection-fatality rate of 2.2%. During the second wave (Sep-Dec 2020), when SARS-CoV-2 testing was greatly increased and extended to many asymptomatic individuals, we could only compute a ‘hybrid’ case/infection-fatality rate with a value of 2.2%, similar to the infection-fatality rate of the first wave.Conclusions:Overall, this study allowed to assess the COVID-19 case- and infection-fatality rates in Italy before of variant spread and vaccine availability, confirming their high values compared with other airborne infections like influenza. Our findings for Italy were similar to those characterizing other Western European countries.

Transmission Dynamics and Contact Tracing Assessment of COVID-19 in Chattogram, Bangladesh and Potential Risk of Close Contacts at Different Exposure Settings

Background: Given the limited understanding of the behaviors of the virus it is crucial to decipher the transmission dynamics for the development of strategic plans and evaluation of effective control measures. We aimed to estimate the key components of disease transmission and secondary attack rate from different exposure settings and highlight the measures of control of the virus.Methods: In this study, we used COVID-19 symptomatic surveillance cases and their close contacts from April 3 to June 2, 2020. From this pool of cases, we compared the time from symptom onset and serial intervals. We also estimated disease transmission in different exposure settings and factors leading to transmission risk.Findings: The mean age was 41.5 years, including 159 (87.85%) of males and 22 (12.15%) females. At the initial case assessment, 53 (29.28%) were mild, 114 (62.30%) were moderate and 14 (7.7%) were severe cases. The median time to recovery was 21.09 days (95% CI 19.44-22.9). The crude case fatality rate amongst all cases was 6.08% (95% CI 4.62-7.54), relatively higher in age over 60 (17.78, 95% CI 14.85-20.70). Patients who were admitted to hospitals were treated with intravenous fluids and antibiotics and severe cases were given supplemental oxygen therapy. Median time from symptom onset to death was 15.7 days (95% CI 13.83-17.91). Among 319 close contacts, there were 13 secondary cases having an overall secondary attack rate of 4.08 (95% CI 1.95-6.20). The secondary attack rate among household contacts was at the highest risk of attack (13.04%, 95% CI 9.67-16.41) followed by funeral ceremonies (8.33%, 95% CI 3.99-12.66) and family contacts (6.52%, 95% CI 4.02-9.02). The attack rate was higher in age groups 50-59 (10.89%, 95% CI 7.05-14.66) and 60-69 (9.09%, 95% CI 5.08-13.09).Interpretation: Considering the demographic interactions, our data on index cases as well as their close contacts suggest critical insights into the epidemiological characteristics of COVID-19. Our analyses suggest that prompt isolation, physical distancing and contact tracing of symptomatic cases significantly reduce the spread of virus and thereby reduce the overall secondary infection in the community.Funding Statement: This study was supported by Bangladesh Medical Research Council (BMDC).Declaration of Interests: The authors declare no competing interests.Ethics Approval Statement: This work was conducted as part of the ongoing public health response, therefore institutional or regional review board approval and individual cases consent approval was waived. This study was approved by ethics committee of the Bangladesh Medical Research Council (BMDC).

COVID-19, Australia: Epidemiology Report 21 (Fortnightly reporting period ending 19 July 2020).

Confirmed cases in Australia: 12,636 notifications and 147 deaths as at 19 July 2020; during the latest reporting fortnight (6 to 19 July 2020) there have been 3,791 notifications and 37 deaths. The number of new cases reported nationally increased from 897 in the previous fortnight (22 June to 5 July) to 3,791 (6 to 19 July). The large increase in cases is due to multiple epidemiologically-linked outbreaks across a range of settings and locations in Victoria (94%; 3,575 cases), with very few cases reported by other jurisdictions (216) in this reporting period. Of the 3,575 cases reported in Victoria, all except one were reported as locally acquired. The majority of these cases were linked to several outbreaks. Of the 216 cases reported from other jurisdictions, approximately 55% (119 cases) were locally acquired. A total of 37 deaths were reported, all from Victoria. On average, 271 cases were reported each day over the reporting period, an increase from 54 cases per day over the previous reporting period. Testing rates have increased across all jurisdictions, predominantly in Victoria, with the nationwide cumulative positivity rate remaining very low at less than 0.5%. As at 19 July, a small proportion of cases have experienced severe disease, requiring hospitalisation or intensive care, with some fatalities. The cumulative crude case fatality rate amongst Australian cases is 1.2%. People who are older and have one or more comorbidity are more likely to experience severe disease.