Analytical Integrity in Myocarditis and Pericarditis Surveillance: A Minimum Variable Framework for Transparent Causal Assessment

Analytical Integrity in Myocarditis and Pericarditis Surveillance: A Minimum Variable Framework for Transparent Causal Assessment presents a structured, non-ideological framework for improving analytical transparency in myocarditis and pericarditis surveillance during and following the COVID-19 era. The paper examines the scientific and governance implications of incomplete causal assessment when evaluating inflammatory cardiac outcomes potentially associated with: SARS-CoV-2 infection, mRNA COVID-19 vaccination, demographic risk factors, clinical variables, and changing surveillance intensity. Rather than advocating predetermined policy conclusions, the document proposes a minimum-variable analytical integrity framework designed to support: transparent epidemiologic evaluation, auditable public-health analysis, comparative risk assessment, and preservation of long-term institutional trust. The manuscript outlines key methodological risks associated with omitted-variable bias, incomplete public reporting, and narrative polarization, while proposing a structured transparency standard for future surveillance and public-health communication. The paper further explores the potential value of multidisciplinary review processes involving epidemiologists, cardiologists, public-health authorities, biostatisticians, governance specialists, and independent reviewers operating within auditable coordination frameworks such as: CNI (Community Network Integration), CORIN (Collaborative Operational Response Integration Network), and related evidentiary synthesis approaches. This work is intended as a scientific governance and analytical integrity contribution aimed at improving coherence, transparency, and public confidence in complex health surveillance environments.