Category Archives: epidemiology

ICL’s Gast, Openshaw, Riley, Barclay on COVID-19 by SARS-CoV-2 : Disease, transmission, variants, and all that

Posted on 10 February 2021 by ecoquant
Posted in COVID-19, epidemiology, ICL, SARS-CoV-2 | Leave a comment

Phase Plane plots of COVID-19 deaths with uncertainties

Posted on 30 October 2020 by ecoquant

I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading →

Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms | Tagged | Leave a comment

“No, COVID-19 Is not the Flu”

Posted on 23 October 2020 by ecoquant

Q&A with Andrew Pekosz, PhD, Johns Hopkins University: Q: What would you say to someone who insists to you that COVID-19 is “just the flu”? A: Since December 2019, COVID-19 has killed more people in the U.S. than influenza has … Continue reading →

Posted in coronavirus, COVID-19, epidemiology, SARS-CoV-2 | Leave a comment

Rebekah Jones

Posted on 23 September 2020 by ecoquant

From Rebekah Jones‘ keynote at the Data Science for COVID-19: Florida COVID Action The COVID Monitor Google COVID-19 Open Data Project

Posted in epidemiology, ethical ideals, ethics, Rebekah Jones, whistleblowing | Tagged , | 1 Comment

Has maintaining economic growth been worth it?

Posted on 1 September 2020 by ecoquant

From Our World in Data article “No sign of a health-economy trade-off, quite the opposite“. Have the countries experiencing the largest economic decline performed better in protecting the nation’s health, as we would expect if there was a trade-off? The … Continue reading →

Posted in coronavirus, COVID-19, economics, epidemiology, pandemic, policy metrics, politics, SARS-CoV-2 | Tagged , , , , | Leave a comment

“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”

Posted on 10 July 2020 by ecoquant

J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading →

Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series | Leave a comment

COVID-19 statistics, a caveat : Sources of data matter

Posted on 17 May 2020 by ecoquant

There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading →

Posted in coronavirus, count data regression, COVID-19, descriptive statistics, epidemiology, pandemic, policy metrics, politics, population biology, population dynamics, quantitative biology, quantitative ecology, sampling, SARS-CoV-2, statistical ecology, statistical series, statistics | 2 Comments

First substantial mechanism for long term immunity from SARS-CoV-2 : T-cells

Posted on 16 May 2020 by ecoquant

M. Leslie, “T cells found in COVID-19 patients ‘bode well’ for long-term immunity“, Science, doi:10.1126/science.abc8120. A. Grifoni, et al, “Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals“, Cell, 14th May 2020. J. … Continue reading →

Posted in American Association for the Advancement of Science, coronavirus, COVID-19, epidemiology, SARS-CoV-2 | Tagged | Leave a comment

“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)

Posted on 4 May 2020 by ecoquant

Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading →

Posted in COVID-19, differential equations, diffusion, diffusion processes, epidemiology, Lotka-Volterra systems, meteorology, pandemic, population biology, population dynamics, Radford Neal, SARS-CoV-2, statistics | Leave a comment

New COVID-19 incidence in the United States as AR(1) processes

Posted on 28 March 2020 by ecoquant

There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading →

Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2 | Leave a comment

What happens when time sampling density of a series matches its growth

Posted on 14 March 2020 by ecoquant

This is the newly updated map of COVID-19 cases in the United States, updated, presumably, because of the new emphasis upon testing: How do we know this is the recent of recent testing? Look at the map of active cases: … Continue reading →

Posted in American Association for the Advancement of Science, American Statistical Association, anti-intellectualism, anti-science, climate denial, corruption, data science, data visualization, Donald Trump, dump Trump, epidemiology, experimental science, exponential growth, forecasting, Kalman filter, model-free forecasting, nonlinear systems, open data, penalized spline regression, population dynamics, sampling algorithms, statistical ecology, statistical models, statistical regression, statistical series, statistics, sustainability, the right to know, the stack of lies | 1 Comment

R ecosystem package coronavirus

Posted on 5 March 2020 by ecoquant

Dr Rami Krispin of the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) has just released the R package coronavirus, which “provides a daily summary of the Coronavirus (COVID-19) cases by state/province“, caused by 2019-nCoV. (update 2020-03-12 … Continue reading →

Posted in data presentation, data science, epidemiology | 1 Comment

“Code for causal inference: Interested in astronomical applications”

Posted on 21 February 2020 by ecoquant

via Code for causal inference: Interested in astronomical applications From Professor Ewan Cameron at his Another Astrostatistics Blog.

Posted in American Association for the Advancement of Science, American Statistical Association, astronomy, astrostatistics, causal inference, causation, counterfactuals, epidemiology, experimental design, experimental science, multivariate statistics, prediction, propensity scoring, quantitative biology, quantitative ecology, reproducible research, rhetorical mathematics, rhetorical science, rhetorical statistics, science, statistical ecology, statistical models, statistical regression, statistics | Leave a comment

Reanalysis of business visits from deployments of a mobile phone app

Posted on 20 February 2020 by ecoquant

Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading →

Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo | 1 Comment

Censorship of Science by the administration of President Donald Trump

Posted on 15 August 2018 by ecoquant

See work by the Columbia Sabin Center for Climate Change Law. … President Trump has directed EPA and DOI to reconsider regulations adopted to control greenhouse gas emissions, despite the wealth of data showing that those emissions are the key … Continue reading →

Posted in American Association for the Advancement of Science, an ignorant American public, an uncaring American public, anti-intellectualism, anti-science, Azimuth Backup Project, citizen data, Climate Science Legal Defense Fund, Donald Trump, dump Trump, Ecological Society of America, environmental law, epidemiology, global blinding, Neill deGrasse Tyson, open data, rationality, reason, reasonableness, science, secularism, The Demon Haunted World, the right to be and act stupid, the right to know, the tragedy of our present civilization, tragedy of the horizon, unreason | Leave a comment

“All of Monsanto’s problems just landed on Bayer” (by Chris Hughes at Bloomberg)

Posted on 13 August 2018 by ecoquant

See Chris Hughes’ article. Monsanto has touted Roundup (also known as Glyphosate but more properly as ) as a safe remedy for weed control, often in the taming of so-called “invasive species”. It’s used on playfields where children are exposed … Continue reading →

Posted in agroecology, an uncaring American public, business, corporate responsibility, ecology, Ecology Action, environment, environmental law, epidemiology, evidence, invasive species, open data, Peter del Tredici, quantitative biology, quantitative ecology, rights of the inhabitants of the Commonwealth, risk, statistics, sustainability, sustainable landscaping, the right to know, Uncategorized, unreason, Westwood | 1 Comment

“Will climate change bring benefits from reduced cold-related mortality? Insights from the latest epidemiological research”

Posted on 13 June 2018 by ecoquant

From RealClimate, and referring to article in Lancet : Guest post by Veronika Huber Climate skeptics sometimes like to claim that although global warming will lead to more deaths from heat, it will overall save lives due to fewer deaths from … Continue reading →

Posted in Anthropocene, climate, climate change, climate disruption, epidemiology, evidence, global warming | Leave a comment