Covid19-Sources

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

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...

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...

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