rww.science
rww.science
1 min read · 2020-07-30 · Associate Professor of Quantitative Methods
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freerangestats.info
Estimating Covid-19 reproduction number with delays and right-truncation
20+ min read · 2020-07-19 · There is a fast growing body of knowledge and tools to help estimate effective reproduction number of an epidemic in real time; I have a go at applying the latest EpiNow2 R package to data for Covid…
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r-posts.com
Epidemiologists should consider GLM & IMR for better Covid death predictions and overcome testing bias
1 min read · 2020-07-10 · Social science research network (SSRN) reviewer has posted our “A Novel Solution to Biased Data in Covid-19 Incidence Studies” written by myself (H D Vinod) and K Theiss. It uses a new two-equation…
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calcat.covid19.ca.gov
CalCAT
4 min read · 2020-06-25 · rt.liveRt.live provides a state-level estimate of R-effective, taking the number of cases and the input. It accounts for the delay from infection to onset of symptoms and changes in the amount of…
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radfordneal.wordpress.com
Critique of “Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period” — Part 2: Proxies for incidence of coronaviruses
~18 min read · 2020-06-19 · This is the second in a series of posts (previous post: Part 1) in which I look at the following paper: Kissler, Tedijanto, Goldstein, Grad, and Lipsitch, Projecting the transmission dynamics of SA…
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radfordneal.wordpress.com
Critique of “Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period” — Part 1: Reproducing the results
~13 min read · 2020-06-19 · UPDATES: Next post in series: Part 2. Minor fix at strikethrough before last figure. I’ve been looking at the following paper, by researchers at Harvard’s school of public health, which…
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staff.math.su.se
Superspreading and the Gini Coefficient
8 min read · 2020-06-01 · We look at superspreading in infectious disease transmission from a statistical point of view. We characterise heterogeneity in the offspring distribution by the Gini coefficient instead of the usual…
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Kaggle
Coronavirus COVID-19 (2019-nCoV) Epidemic Datasets
From 2020 · Unified COVID-19 datasets across several sources. Exogenous variables included.
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youtube.com
Why R? Webinar 004
From 2020 · Speaker: Robin Lovelace + Jakub Nowosad Title: Recent changes in R spatial and how to be ready for them Slides: https://nowosad.github.io/whyr_webinar004/ - ...
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keen-swartz-3146c4.netlify.app
Spatial Data Science
2 min read · From 2020
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github.com
paezha/covid19-environmental-correlates
From 2020 · Spatio-temporal analysis of the incidence of COVID-19 in Spain with a focus on environmental correlates - paezha/covid19-environmental-correlates
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2020.erum.io
CovidR - eRum2020 - European R Users Meeting
From 2020 · CovidR contest Make the difference Humanity as a whole is now facing the global crisis of the coronavirus spreading. As individuals we can do our part in keeping others safe by following the rules…
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github.com
covid19datahub/COVID19
From 2020 · Coronavirus COVID-19 (2019-nCoV) Epidemic Datasets - covid19datahub/COVID19
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geocompr.github.io
Demo of reproducible geographic data analysis: mapping Covid-19 data with R
10 min read · From 2020 · The coronavirus pandemic is a global phenomenon that will affect the lives of the majority of the world’s population for years to come. Impacts range from physical distancing measures already…
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blog.ephorie.de
COVID-19: Analyze Mobility Trends with R
5 min read · From 2020 · The global lockdown has slowed down mobility considerably. This ca
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