Covid19-Sources

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Belgian COVID-19 Mortality, Excess Deaths, Number of Deaths per Million, and Infection Fatality Rates (9 March — 28 June 2020) | medRxiv
Belgian COVID-19 Mortality, Excess Deaths, Number of Deaths per Million, and Infection Fatality Rates (9 March — 28 June 2020) | medRxiv
Background COVID-19 mortality and its relation to excess deaths, the number of Deaths Per Million (DPM), Infection Fatality Rates (IFRs) and Case Fatality Rates (CFRs) are constantly being reported and compared for a large number of countries globally. These measures may appear objective, however they should be interpreted with the necessary care. Objective Scrutiny of COVID-19 mortality in Belgium over the period 9 March – 28 June 2020 (Weeks 11–26), using the relation between COVID-19 mortality and excess death rates, the number of deaths per million, and infection fatality rates. Methods...
·medrxiv.org·
Belgian COVID-19 Mortality, Excess Deaths, Number of Deaths per Million, and Infection Fatality Rates (9 March — 28 June 2020) | medRxiv
Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic | Science
Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic | Science
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incidence peaked in Manaus, Brazil, in May 2020 with a devastating toll on the city's inhabitants, leaving its health services shattered and cemeteries overwhelmed. Buss et al. collected data from blood donors from Manaus and São Paulo, noted when transmission began to fall, and estimated the final attack rates in October 2020 (see the Perspective by Sridhar and Gurdasani). Heterogeneities in immune protection, population structure, poverty, modes of public transport, and uneven adoption of nonpharmaceutical interventions mean tha...
·science.sciencemag.org·
Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic | Science
(1) Kai Kupferschmidt auf Twitter: "Why is it concerning? Three main reasons: 1. The place: P.1 is spreading in Manaus, which is experiencing a devastating surge after already experiencing a terrible wave of infections in March/April. @DrMikeRyan described the dire situation yesterday: https://t.co/P0qxjdFTMQ" / Twitter
(1) Kai Kupferschmidt auf Twitter: "Why is it concerning? Three main reasons: 1. The place: P.1 is spreading in Manaus, which is experiencing a devastating surge after already experiencing a terrible wave of infections in March/April. @DrMikeRyan described the dire situation yesterday: https://t.co/P0qxjdFTMQ" / Twitter
Why is it concerning? Three main reasons:1. The place: P.1 is spreading in Manaus, which is experiencing a devastating surge after already experiencing a terrible wave of infections in March/April. @DrMikeRyan described the dire situation yesterday: https://t.co/P0qxjdFTMQ— Kai Kupferschmidt (@kakape) January 16, 2021
·twitter.com·
(1) Kai Kupferschmidt auf Twitter: "Why is it concerning? Three main reasons: 1. The place: P.1 is spreading in Manaus, which is experiencing a devastating surge after already experiencing a terrible wave of infections in March/April. @DrMikeRyan described the dire situation yesterday: https://t.co/P0qxjdFTMQ" / Twitter
Coronavirus Update (Live): 92,642,178 Cases and 1,983,695 Deaths from COVID-19 Virus Pandemic - Worldometer
Coronavirus Update (Live): 92,642,178 Cases and 1,983,695 Deaths from COVID-19 Virus Pandemic - Worldometer
Live statistics and coronavirus news tracking the number of confirmed cases, recovered patients, tests, and death toll due to the COVID-19 coronavirus from Wuhan, China. Coronavirus counter with new cases, deaths, and number of tests per 1 Million population. Historical data and info. Daily charts, graphs, news and updates
·worldometers.info·
Coronavirus Update (Live): 92,642,178 Cases and 1,983,695 Deaths from COVID-19 Virus Pandemic - Worldometer
On the relationship between serial interval, infectiousness profile and generation time | Journal of The Royal Society Interface
On the relationship between serial interval, infectiousness profile and generation time | Journal of The Royal Society Interface
The timing of transmission plays a key role in the dynamics and controllability of an epidemic. However, observing generation times—the time interval between the infection of an infector and an inf...
·royalsocietypublishing.org·
On the relationship between serial interval, infectiousness profile and generation time | Journal of The Royal Society Interface
Corona children studies "Co-Ki": First results of a Germany-wide registry on mouth and nose covering (mask) in children | Research Square
Corona children studies "Co-Ki": First results of a Germany-wide registry on mouth and nose covering (mask) in children | Research Square
Background: Narratives about complaints in children and adolescents caused by wearing a mask are accumulating. There is, to date, no registry for side effects of masks.Methods: At the University of Witten/Herdecke an online registry has been set up wher...
·researchsquare.com·
Corona children studies "Co-Ki": First results of a Germany-wide registry on mouth and nose covering (mask) in children | Research Square
Sliding SIR Model for Rt Estimation during COVID Pandemic
Sliding SIR Model for Rt Estimation during COVID Pandemic
One of the main characteristics of an epidemic is the effective reproduction number (Rt), which indicates the number of people each infected individual will further infect at any given time. Being able to estimate Rt is an important task, because this number defines whether the epidemic is expected to grow (Rt>1), or will start declining (Rt
·soshnikov.com·
Sliding SIR Model for Rt Estimation during COVID Pandemic
5 Std.
5 Std.
Long Covid: Girl, 16, off school for four months | #LongCovidKids #LongCovidThread @Long_Recovery |https://t.co/NIAzx8kHHx— Long Covid Support 🌍 (@long_covid) January 15, 2021
·twitter.com·
5 Std.
COVID-19 Zahlen interpretiert
COVID-19 Zahlen interpretiert
RKI Saldo Data,Week Smooth Total,New,Ratio,Estimate,Delta,smooth,grow,progno 20-02-24,16 20-02-25,18,2,1.125,16,-0.10 20-02-26,21,3,1.167,18,-0.13 20-02-27,26,5,1.238,21,-0.18 20-02-28,53,27,2.038,26,-0.50 20-02-29,66,13,1.245,54,-0.19,10.0 20-03-01,117,51,1.773,67,-0.43,16.8,1.683,0.0,-1.00 20-...
·docs.google.com·
COVID-19 Zahlen interpretiert
Economy vs Covid Deaths in EU+GB 2020
Economy vs Covid Deaths in EU+GB 2020
Sheet1 Region,2020,2019,Death/Mio Belgien,-8.40%,1.70%,-10.10%,1,684.96 Deutschland,-5.60%,0.60%,-6.20%,403.31 Estland,-4.60%,5%,-9.60%,172.63 Irland,-2.30%,5.60%,-7.90%,453.04 Griechenland,-9%,1.90%,-11%,464.16 Spanien,-12.40%,2%,-14.40%,1,087.31 Frankreich,-9.40%,1.50%,-10.90%,992.12 Italien,-...
·docs.google.com·
Economy vs Covid Deaths in EU+GB 2020
Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-Analysis, and Public Policy Implications | medRxiv
Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-Analysis, and Public Policy Implications | medRxiv
Objective Determine age-specific infection fatality rates for COVID-19 to inform public health policies and communications that help protect vulnerable age groups. Methods Studies of COVID-19 prevalence were collected by conducting an online search of published articles, preprints, and government reports that were publicly disseminated prior to 18 September 2020. The systematic review encompassed 113 studies, of which 27 studies (covering 34 geographical locations) satisfied the inclusion criteria and were included in the meta-analysis. Age-specific IFRs were computed using the prevalence d...
·medrxiv.org·
Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-Analysis, and Public Policy Implications | medRxiv
Adaptation of SARS-CoV-2 in BALB/c mice for testing vaccine efficacy | Science
Adaptation of SARS-CoV-2 in BALB/c mice for testing vaccine efficacy | Science
Among the research tools necessary to develop medical interventions to treat severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, high on the list are informative animal models with which to study viral pathogenesis. Gu et al. developed a mouse model in which a SARS-CoV-2 strain was infectious and could cause an inflammatory response and moderate pneumonia. Adaptation of this viral strain in the mouse appeared to be dependent on a critical amino acid change, Asn501 to Tyr (N501Y), within the receptor-binding domain of the viral spike protein. The new mouse model was used...
·science.sciencemag.org·
Adaptation of SARS-CoV-2 in BALB/c mice for testing vaccine efficacy | Science
(1) Jimmy Nelson auf Twitter: "@thereal_truther @FaceLikeTheSun You're flat out wrong mate, you're citing the controllers State Propoganda designed to control your reality and perception, you need to break free from the chains" / Twitter
(1) Jimmy Nelson auf Twitter: "@thereal_truther @FaceLikeTheSun You're flat out wrong mate, you're citing the controllers State Propoganda designed to control your reality and perception, you need to break free from the chains" / Twitter
You're flat out wrong mate, you're citing the controllers State Propoganda designed to control your reality and perception, you need to break free from the chains— Jimmy Nelson (@robinsonjre53) January 4, 2021
·twitter.com·
(1) Jimmy Nelson auf Twitter: "@thereal_truther @FaceLikeTheSun You're flat out wrong mate, you're citing the controllers State Propoganda designed to control your reality and perception, you need to break free from the chains" / Twitter