This study retrospectively analyzes the organizational handling of the COVID-19 pandemic by Mexico’s health authorities, from its outbreak in February 2020 to the final phase of the pandemic. The analysis begins with the undercounting of infected persons and deaths, which led to distorted figures and an abnormally high case fatality rate. The underestimation is examined separately for infections, deaths, and case fatality rates. The number of infected persons was affected by insufficient COVID-19 testing and restrictions on hospitalization. Death figures were evaluated by comparing mortality trends observed during the five years preceding the outbreak with the postpandemic data disaggregated by cause of death. These data were first collected by health authorities, reviewed by the Interinstitutional Group for the Estimation of Excess Mortality (GIEM, in Spanish), and later consolidated by the National Institute of Statistics and Geography (INEGI, in Spanish). The case fatality rate was calculated as the relationship between both variables on the basis of the original figures published by health authorities. After different calculation methods were explored, a more plausible estimate of the real COVID-19 death toll was established. Despite the need to correct the initial figures, the official database has not been updated. This lack of correction misinforms the public about the real impact of COVID-19 and risks leading the health system to repeat the statistical and organizational failures observed during the pandemic, potentially underestimating future health emergencies.

Premenstrual syndrome (PMS) affects many adolescent girls in terms of physique, behavior, and psychology. However, evidence regarding the association between PMS severity and academic performance among adolescents in peri-urban areas of Pakistan remains limited. This cross-sectional analytical study was conducted from May to September 2024 among 270 adolescent girls enrolled in secondary and higher secondary schools in Bara Kahu, Islamabad, using multistage cluster sampling. This study determined the frequency and severity of PMS and examined its association with academic performance. Overall, 85.93% of the participants reported PMS symptoms, with 35.19% experiencing mild, 30.00% moderate, 12.59% severe, and 8.15% very severe symptoms. For inferential analysis, PMS severity was categorized into mild, moderate, and severe levels. A statistically significant association was observed between PMS severity and academic performance (χ² = 34.565; p < 0.001). Spearman’s rank correlation further demonstrated a significant negative correlation between PMS severity and academic performance (ρ = −0.356, p < 0.01), indicating poorer academic performance with increasing symptom severity. These findings suggest that greater PMS severity is associated with reduced academic performance among adolescent girls in peri-urban Islamabad. While causality cannot be inferred because of the cross-sectional design, the results highlight the relevance of menstrual health in educational contexts during adolescence.