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COVID19

Life Expectancy: A Counterfactual Example

SARS2 Pandemic: Will Truth Prevail?

Planet Lockdown: A Documentary

Ivermectin Prophylaxis Used for COVID-19 Reduces COVID-19 Infection and Mortality Rates: A City-Wide, Prospective Observational Study of 220,517 Subjects Using Propensity Score Matching

December, 2021

Abstract

Background: Ivermectin has demonstrated different mechanisms of action that potentially protect from both COVID-19 infection and COVID-19-related comorbidities. Based on the studies suggesting efficacy in prophylaxis combined with the known safety profile of ivermectin, a citywide prevention program using ivermectin for COVID-19 was implemented in Itajai, a Southern city in Brazil in the state of Santa Catarina. The objective of this study was to evaluate the impact of regular ivermectin use on subsequent COVID-19 infection and mortality rates.

How bad data quality can turn a simulation into a dissimulation that shapes the future

DSA ADS Course, 2022

Data Quality, Black Box Models, Bad Models, Origins of SARS-CoV-2, Epidemiology, Non-pharmaceutical Interventions, Mitigation Strategies, COVID19, Health Policy, Public Policy

Review data quality evaluations, bad model design, policy decision-making based on data science, black box models, unwarranted assumptions in models, and evidence based policy making with near real-time data.

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