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…
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…
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…
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…
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…
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…
Kaggle
Coronavirus COVID-19 (2019-nCoV) Epidemic Datasets
2020-04-26 · Unified COVID-19 datasets across several sources. Exogenous variables included.
youtube.com
Why R? Webinar 004
2020-04-26 · 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/ - ...
github.com
paezha/covid19-environmental-correlates
2020-04-26 · Spatio-temporal analysis of the incidence of COVID-19 in Spain with a focus on environmental correlates - paezha/covid19-environmental-correlates
2020.erum.io
CovidR - eRum2020 - European R Users Meeting
2020-04-26 · 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…
github.com
covid19datahub/COVID19
2020-04-26 · Coronavirus COVID-19 (2019-nCoV) Epidemic Datasets - covid19datahub/COVID19
geocompr.github.io
Demo of reproducible geographic data analysis: mapping Covid-19 data with R
10 min read · 2020-04-23 · 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…
blog.ephorie.de
COVID-19: Analyze Mobility Trends with R
5 min read · 2020-04-21 · The global lockdown has slowed down mobility considerably. This ca
