Covid19-Sources

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...

The Netherlands saw rapid spread through a school and into the community

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...

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

SARS-CoV-2 Antigen Rapid Immunoassay for Diagnosis of COVID-19 in the Emergency Department. Biomarkers. Accepted 9 January 2021.

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

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...

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...

Methods that are routine in computation-heavy fields could lead to more reliable pandemic predictions.

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...

Unified dataset for a better understanding of COVID-19.

Modellierung des Verlaufs von COVID-19

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

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…

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.

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.

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.

How epidemiologists rushed to model the coronavirus pandemic.

Seasonality and #SARSCoV2?New @PNASNews https://t.co/TLg5tMtsDU Modeling supports benefit of UV light to decrease growth rate, a pandemic rebound in fall, and peak in winter pic.twitter.com/5sj6h28AKZ— Eric Topol (@EricTopol) October 13, 2020