Respiratory viruses are seasonal 2ary to immunity, population, and environmental determinants.
However, I was unprepared for how controversial discussing potential seasonality of seasonal hCoVs would be
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Goals of discussing seasonality:
1) Facilitate empiric interpretation of the effects of Wave 1 restriction-based strategies 2) Prepare for Wave 2 with data-driven interventions responding to inequities nearly universally observed explained by living and working conditions.
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Let's discuss this and much more:
1) Correlates of exposure/immunity (humoral & cellular markers) 2) Optimal mask interventions (who, where, why, how) to maximize population-level incidence reduction 3) Mandates vs guidelines facilitated by resources 4) Fear vs empowerment
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In Wave 2, let's stop attacking non-stigmatizing but differing perspectives on optimal intervention strategies.
Intended to help to do independent critical appraisal of the data being released in #COVID19 including an overview of study designs.
Also to help you assess whether "experts" did critical appraisal or are just repeating abstract
Quantitative Study Designs
Only covering studies where unit of analysis is an individual person.
There are also ecological studies which use a population as the level of analysis and systematic reviews & meta analyses which quantitatively combine results of several studies.
Observational Studies - Descriptive
Examples: case reports, case-series reports, surveillance studies, surveys
Cross-sectional studies - Describe the prevalence of a disease or other phenomena without looking for associations between variables
I often see an assumption that the COVID vaccines being trialed will be available for kids at the same time as adults assuming efficacy. And that's a big (HUGE) assumption.
Let's take a look at the Oxford, Moderna, and Pfizer trials