COVID19
A TALE OF TWO SCIENTIFIC PARADIGMS: CONFLICTING SCIENTIFIC OPINIONS ON WHAT “FOLLOWING THE SCIENCE” MEANS FOR SARS-COV-2 AND THE COVID-19 PANDEMIC
August, 2021
DSA ADS Course - 2021
COVID19, Public Policy, Health Policy, Modeling, Model-driven Science, Empirically-driven Science, Lockdowns, Non-pharmaceutical Interventions, NPIs
Discuss 2 paradigms: Model-driven Science vs. Empirically-driven Science
Forecasting for COVID19 has Failed
June, 2020
DSA ADS Course - 2021
Forecasting, COVID19, John Ioannidis, Public Policy, Health Policy, Causal Inference, Forensic Medicine, Causality, Intuitive Causation, Probabilistic Causation
Forecasting is usually impossible in high causal density environments. Scenario planning with applied probability and adaptation to near real-time data is optimal strategy. Epidemic forecasting is usually a fools errand yet appropriate analysis of experience and historical precedent is helpful.
Why COVID-19 was Overdiagnosed | Dr. Clare Craig
Correlation of SARS-CoV-2 Breakthrough Infections to Time-from-vaccine; Preliminary Study
Over- and under-estimation of COVID-19 deaths
July, 2021
Abstract
Longitudinal analysis shows durable and broad immune memory after SARS-CoV-2 infection with persisting antibody responses and memory B and T cells
July, 2021
Highlights
- Most recovered COVID-19 patients mount broad, durable immunity after infection
- Neutralizing antibodies show a bi-phasic decay with half-lives >200 days
- Spike IgG+ memory B cells increase and persist post-infection
- Durable polyfunctional CD4 and CD8 T cells recognize distinct viral epitope regions
Summary
COVID-19 antibody seroprevalence in Santa Clara County, California
DSA ADS Course - 2021
COVID-19 antibody seroprevalence in Santa Clara County, California
Seroprevalence, COVID19, Public Policy, Health Policy, Infection Fatality Rates
It is critical to estimate as soon as possible the infection fatality rate of next pandemic pathogen from seroprevalence data.
Infection fatality rate of COVID-19 inferred from seroprevalence data
DSA ADS Course - 2021
Infection fatality rate of COVID-19 inferred from seroprevalence data
Seroprevalence, COVID19, Public Policy, Health Policy, Infection Fatality Rates
It is critical to estimate as soon as possible the infection fatality rate of next pandemic pathogen from seroprevalence data.
Reconciling estimates of global spread and infection fatality rates of COVID- 19: An overview of systematic evaluations
DSA ADS Course - 2021
Reconciling estimates of global spread and infection fatality rates of COVID- 19: An overview of systematic evaluations
Seroprevalence, COVID19, Public Policy, Health Policy, Infection Fatality Rates
It is critical to estimate as soon as possible the infection fatality rate of next pandemic pathogen from seroprevalence data.