2006.15268
The COVID-19 (SARS-CoV-2) Uncertainty Tripod in Brazil: Assessments on model-based predictions with large under-reporting
Saulo B. Bastos, Marcelo M. Morato, Daniel O. Cajueiro, Julio E. Normey-Rico
correctmedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:55 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper formulates the “uncertainty tripod” qualitatively and via simulation/plots (if any two of {under-reporting of infections q_I, under-reporting of deaths q_D, true mortality ρ} are known, the third can be inferred), grounded in a multiplicative under-reporting model X_measured = q_X X_real and in the SIRASD definitions where ρ = p ρ_S at epidemic end. The candidate solution supplies the missing algebra: an odds-identity ρ_obs/(1−ρ_obs) = (q_D/q_I)·ρ/(1−ρ) and explicit rearrangements for any unknown. Both agree on required assumptions (constant q_I, q_D; evaluation near epidemic end; time-varying observed ratios otherwise). Thus, the paper’s result is correct but heuristic/incomplete; the model’s solution is correct and more explicit.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} specialist/solid
\textbf{Justification:}
The work brings together an uncertainty-aware SIR framework with a clear practical message (the tripod). It is well motivated for contexts with under-reporting and presents consistent qualitative findings. To fully deliver on its central idea, the paper should state the tripod identity algebraically and clarify terminology around observed vs. true mortality and the time-asymptotic nature of ρ. These are modest changes that will materially improve precision and usability.