August, 2021
Abstract
Background: Reports of waning vaccine-induced immunity against COVID-19 have begun to surface. With that, the comparable long-term protection conferred by previous infection with SARS-CoV-2 remains unclear.
May, 2021
Abstract
COVID-19 is an ongoing global outbreak of coronavirus disease 2019, an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The World Health Organization (WHO) declared the outbreak a Public Health Emergency of International Concern on January 30, 2020; and a pandemic on March 11, 2020.
August, 2021
Abstract
Background:
Repurposed medicines may have a role against the SARS-CoV-2 virus. The antiparasitic ivermectin, with antiviral and anti-inflammatory properties, has now been tested in numerous clinical trials.
Areas of uncertainty:
We assessed the efficacy of ivermectin treatment in reducing mortality, in secondary outcomes, and in chemoprophylaxis, among people with, or at high risk of, COVID-19 infection.
Data sources:
August, 2021
Highlights
Abstract
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
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.