SARS-CoV-2 und HIV: Entscheidende Unterschiede - myPoint
Covid19-Sources
Increased infections, but not viral burden, with a new SARS-CoV-2 variant | medRxiv
Background A new variant of SARS-CoV-2, B.1.1.7/VOC202012/01, was identified in the UK in December-2020. Direct estimates of its potential to enhance transmission are limited. Methods Nose and throat swabs from 28-September-2020 to 2-January-2021 in the UK’s nationally representative surveillance study were tested by RT-PCR for three genes (N, S and ORF1ab). Those positive only on ORF1ab+N, S-gene target failures (SGTF), are compatible with B.1.1.7/VOC202012/01. We investigated cycle threshold (Ct) values (a proxy for viral load), percentage of positives, population positivity and growth ra...
(11) David Weissflog auf Twitter: "Jetzt mal ein Thread warum es aus fachlicher Sicht keine Begründung für eine FFP2-Masken-Pflicht gibt. ...und dies nach meiner fachlichen Bewertung von jedem Gericht gekippt werden müsste." / Twitter
Jetzt mal ein Thread warum es aus fachlicher Sicht keine Begründung für eine FFP2-Masken-Pflicht gibt....und dies nach meiner fachlichen Bewertung von jedem Gericht gekippt werden müsste.— David Weissflog (@infect_prevent) January 18, 2021
Effectiveness of Masks and Respirators Against Respiratory Infections in Healthcare Workers: A Systematic Review and Meta-Analysis
This systematic review and meta-analysis quantified the protective effect of facemasks and respirators against respiratory infections among healthcare workers. Relevant articles were retrieved from Pubmed, EMBASE, and Web of Science. Meta-analyses were ...
A rapid systematic review of the efficacy of face masks and respirators against coronaviruses and other respiratory transmissible viruses for the community, healthcare workers and sick patients - ScienceDirect
The pandemic of COVID-19 is growing, and a shortage of masks and respirators has been reported globally. Policies of health organizations for healthca…
Low-cost measurement of face mask efficacy for filtering expelled droplets during speech | Science Advances
Mandates for mask use in public during the recent coronavirus disease 2019 (COVID-19) pandemic, worsened by global shortage of commercial supplies, have led to widespread use of homemade masks and mask alternatives. It is assumed that wearing such masks reduces the likelihood for an infected person to spread the disease, but many of these mask designs have not been tested in practice. We have demonstrated a simple optical measurement method to evaluate the efficacy of masks to reduce the transmission of respiratory droplets during regular speech. In proof-of-principle studies, we compared a...
Efficacy of masks and face coverings in controlling outward aerosol particle emission from expiratory activities | Scientific Reports
The COVID-19 pandemic triggered a surge in demand for facemasks to protect against disease transmission. In response to shortages, many public health authorities have recommended homemade masks as acceptable alternatives to surgical masks and N95 respirators. Although mask wearing is intended, in part, to protect others from exhaled, virus-containing particles, few studies have examined particle emission by mask-wearers into the surrounding air. Here, we measured outward emissions of micron-scale aerosol particles by healthy humans performing various expiratory activities while wearing diff...
School risk calculations scrambled by fast-spreading virus strains | Science | AAAS
The Netherlands saw rapid spread through a school and into the community
Epidemiology of post-COVID syndrome following hospitalisation with coronavirus: a retrospective cohort study | medRxiv
Objectives The epidemiology of post-COVID syndrome (PCS) is currently undefined. We quantified rates of organ-specific impairment following recovery from COVID-19 hospitalisation compared with those in a matched control group, and how the rate ratio (RR) varies by age, sex, and ethnicity. Design Observational, retrospective, matched cohort study. Setting NHS hospitals in England. Participants 47,780 individuals (mean age 65 years, 55% male) in hospital with COVID-19 and discharged alive by 31 August 2020, matched to controls on demographic and clinical characteristics. Outcome measures Rate...
(12) Hannah 🦈 auf Twitter: "A doctor in Ireland: "We will inevitably lose a significant proportion of the health care workforce due to #LongCovid...We have doctors off on long-term sick leave because of long Covid...we may lose anywhere up to 15% of doctors in Northern Ireland by the time this is over." 1/" / Twitter
A doctor in Ireland: "We will inevitably lose a significant proportion of the health care workforce due to #LongCovid...We have doctors off on long-term sick leave because of long Covid...we may lose anywhere up to 15% of doctors in Northern Ireland by the time this is over." 1/— Hannah 🦈 (@ahandvanish) January 18, 2021
Full article: SARS-CoV-2 Antigen Rapid Immunoassay for Diagnosis of COVID-19 in the Emergency Department
SARS-CoV-2 Antigen Rapid Immunoassay for Diagnosis of COVID-19 in the Emergency Department. Biomarkers. Accepted 9 January 2021.
StefFun on Twitter
Also technisch gesehen können auch Geimpfte nach der zweiten Impfung symptomatisch erkranken. Ich würde annehmen, dass diese Personengruppe dann neue Infektionsketten —insbesondere bei der nicht geimpften Bevölkerung — starten kann. #Maas pic.twitter.com/awrs5Zm0Ap— StefFun (@StefFun) January 17, 2021
RKI COVID-19 Germany
Mobility network models of COVID-19 explain inequities and inform reopening | Nature
Meta-analysis of the SARS-CoV-2 serial interval and the impact of parameter uncertainty on the COVID-19 reproduction number | medRxiv
The serial interval of an infectious disease, commonly interpreted as the time between onset of symptoms in sequentially infected individuals within a chain of transmission, is a key epidemiological quantity involved in estimating the reproduction number. The serial interval is closely related to other key quantities, including the incubation period, the generation interval (the time between sequential infections) and time delays between infection and the observations associated with monitoring an outbreak such as confirmed cases, hospital admissions and deaths. Estimates of these quantitie...
Time between Symptom Onset, Hospitalisation and Recovery or Death: a Statistical Analysis of Different Time-Delay Distributions in Belgian COVID-19 Patients - 2020.07.18.20156307v1.full.pdf
The Epidemiology of Severe Acute Respiratory Syndrome in the 2003 Hong Kong Epidemic: An Analysis of All 1755 Patients | Annals of Internal Medicine
This analysis of 1755 cases from the Hong Kong epidemic of severe acute respiratory syndrome (SARS) found that most patients became infected in hospitals and residential buildings. The observed pat...
Simulating the pandemic: What COVID forecasters can learn from climate models
Methods that are routine in computation-heavy fields could lead to more reliable pandemic predictions.
Reproduction number (R) and growth rate (r) of the COVID-19 epidemic in the UK - set-covid-19-R-estimates.pdf
GitHub - openZH/covid_19: COVID19 case numbers Cantons of Switzerland and Principality of Liechtenstein (FL). The data is updated at best once a day (times of collection and update may vary). Start with the README.
COVID19 case numbers Cantons of Switzerland and Principality of Liechtenstein (FL). The data is updated at best once a day (times of collection and update may vary). Start with the README. - openZH...
COVID-19 Data Hub • COVID-19 Data Hub
Unified dataset for a better understanding of COVID-19.
Helmholtz SICAR Model
Hinter den Zahlen: das epidemiologische Modell — DunkelzifferRadar - Covid19
Modellierung des Verlaufs von COVID-19
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons - 2003.00122
Modeling COVID-19 – The Confounder
From Dr. Samuel Jenness, Assistant Professor, Department of Epidemiology: The global pandemic of COVID-19 has raised the profile of mathematical modeling, a core epidemiological approach to investigate the transmission dynamics of infectious diseases. Infectious disease modeling has been featured in
A modified age-structures SIR model for COVID-19 type viruses
Contagion! The BBC Four Pandemic – The model behind the documentary - ScienceDirect
To mark the centenary of the 1918 influenza pandemic, the broadcasting network BBC have put together a 75-min documentary called ‘Contagion! The BBC F…
Microsoft Word - Weather_and_COVID-19_Preprint_V3.docx - weather_and_covid-19_preprint.pdf
Corona-Zahlen auswerten und visualisieren | c't Magazin
Für eine Lösung der Corona-Krise müssen etwa zwei Drittel der Bevölkerung immun gegen das Virus werden. Wir zeigen, wie man das durchrechnet und visualisiert.
The Software that Led to the Lockdown | blog@CACM | Communications of the ACM
One of the key drivers for the decision to lockdown the U.K. in late March 2020 was a computational epidemiological model developed at Imperial College, London.