Lethality of Covid-19 in Great Britain over 12 registration weeks
Excess deaths – the number of those dying above the average of the past five years – is a crucial metric for assessing the lethality of Covid-19. It measures the immediate toll, both direct and indirect, that the virus, SARS-CoV-2, has exacted.
By Sheila M. Bird and Bent Nielsen
Lethality of Covid-19 in Great Britain over 12 registration weeks
Excess deaths – the number of those dying above the average of the past five years – is a crucial metric for assessing the lethality of Covid-19. It measures the immediate toll, both direct and indirect, that the virus, SARS-CoV-2, has exacted.
By Sheila M. Bird and Bent Nielsen
Covid-19 deaths: How are gender, age and underlying health condition related?
Much has been said about the demographic trends of Covid-19. It has been widely reported that deaths are more common in males; more common in the elderly; and more common...
By James Jackson
Leicester makes history in testing times
Leicester made demographic history as the first city in England where the Black, Asian and Minority Ethnic (BAME) community is the majority. And it is making history as the first...
By Sheila M. Bird
Covid-19 deaths: How are gender, age and underlying health condition related?
Much has been said about the demographic trends of Covid-19. It has been widely reported that deaths are more common in males; more common in the elderly; and more common amongst those with an “underlying health condition”. But to what extent is this the case? And how are these variables associated with each other?
By James Jackson
Leicester makes history in testing times
Leicester made demographic history as the first city in England where the Black, Asian and Minority Ethnic (BAME) community is the majority. And it is making history as the first city in England to re-enter lockdown after a surge in persons testing positive for SARS-CoV-2. Can Leicester turn this reversal into a triumph for local public health by rigorously documenting its SARS-CoV-2 transmission networks, and by using investigatory scientific methods to make new discoveries about asymptomatic infections and infectiousness? These are testing times.
By Sheila M. Bird
Visualizing the Covid-19 pandemic with doubling rates
As the popularity of coronavirus data visualizations increases, so does the risk of misinterpreting results. We’ve all heard the term flattening the curve. This catch phrase does a good job of summarizing the goal of pandemic mitigation policies: limit the number of people who are simultaneously infected to avoid straining health care systems. However common the phrase may be, it raises the question: What curve are we trying to flatten? And what do these curves tell us about how well we’re doing?
By Luke Anderson-Trocmé and Sahir Bhatnagar
Visualizing the Covid-19 pandemic with doubling rates
As the popularity of coronavirus data visualizations increases, so does the risk of misinterpreting results. We’ve all heard the term flattening the curve. This catch phrase does a good job of summarizing the goal of pandemic mitigation policies: limit the number of people who are simultaneously infected to avoid straining health care systems. However common the phrase may be, it raises the question: What curve are we trying to flatten? And what do these curves tell us about how well we’re doing?
By Luke Anderson-Trocmé and Sahir Bhatnagar
