Covid By Numbers - Making Sense of the Pandemic with Data

I couldn''t imagine a better guidebook for making sense of a tragic and momentous time in our lives. Covid by Numbers is comprehensive yet concise, impeccably clear and always humane'' Tim Harfordbr>br>How many people have died because of COVID-19? Which countries have been hit hardest by the virus? What are the benefits and harms of different vaccines? How does COVID-19 compare to the Spanish flu? How have the lockdown measures affected the economy, mental health and crime?br>br>This year we have been bombarded by statistics - seven day rolling averages, rates of infection, excess deaths. Never have numbers been more central to our national conversation, and never has it been more important that we think about them clearly. In the media and in their Observer column, Professor Sir David Spiegelhalter and RSS Statistical Ambassador Anthony Masters have interpreted these statistics, offering a vital public service by giving us the tools we need to make sense of the virus for ourselves and holding the government to account.br>br>In Covid by Numbers, they crunch the data on a year like no other, exposing the leading misconceptions about the virus and the vaccine, and answering our essential questions. This timely, concise and approachable book offers a rare depth of insight into one of the greatest upheavals in history, and a trustworthy guide to these most uncertain of times.>

Produktdetails

• Autoren: Anthony Masters, Davi Spiegelhalter, David Spiegelhalter, Spiegelhalter David
• Verlag: PELICAN
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 07.10.2021
• EAN: 9780241547731
• ISBN: 978-0-241-54773-1
• Seiten: 112
• Abmessung: 114 mm x 187 mm x 10 mm
• Serie: Pelican Books
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Naturwissenschaften allgemein; Ratgeber > Gesundheit; popular science, MEDICAL / Public Health, SOCIAL SCIENCE / Disease & Health Issues, SOCIAL SCIENCE / Statistics, Illness & addiction: social aspects, Infectious & contagious diseases, Social research & statistics, Health, illness and addiction: social aspects, Social research and statistics, Infectious and contagious diseases, Data analysis: general, Data science and analysis: general