An Analysis of The Trend of Incidences and Fatality of Pulmonary Tuberculosis in East Java from 2015-2020: A Lesson From COVID-19

Background: Pulmonary tuberculosis is still a public health problem, and surveillance data analysis has not been done much. Recently a global pandemic of COVID-19 has the potential in disturbing TB elimination pro-grams and treatment. This study aims to comprehensively analyse the incidence rate (IR) and Case Fatality Rate (CFR) of pulmonary tuberculosis in East Java from 2015–2020 and during COVID-19 and the strategies for optimizing tuberculosis disease control. Methodology: The study analyzed annual surveillance data using an analytical descriptive design. The Varia-bles were analyzed with Spearman correlation with a level of evidence of 95% (p<0.05). Results: The prevalence of pulmonary tuberculosis in East Java fluctuated from 2015–2020. In 2020 and dur-ing the COVID-19 pandemic, the number of cases and morbidity rates increased. Statistic results confirm the presence of a significant correlation between the values of Incidence rate (IR) and Case Fatality rate (CFR) (p = 0.032), IR and Treatment Success Rate (TSR) (p = 0.020), and CFR and TSR (p = 0.002). Population density is not correlated with the number of new cases (p = 0.667). Treatment rates have increased to 51%; cure and treatment rates have decreased to 76% and 89%, respectively, and there was a 4% increase in mortality dur-ing COVID-19. Conclusions: COVID-19 has tremendously affected the treatment of pulmonary TB cases in East Java, Indone-sia by increasing the incidence rate and decreasing the fatality rate. The pandemic promotes fear in the com-munity to check their medical status and improve the quality of their health in East Java.

Análisis temporal del covid-19 en Colombia: indicadores asociados y modelización / Temporal analysis of covid-19 in Colombia: associated indicators and modeling

AbstractIntroduction. This study shows statistical information regarding COVID-19 in Colombia up to this date (March 1-2022). Specifically, the daily, monthly and cumulative evolution of infections and deaths, correlated with the distribution of the population according to age and gender. Objective. Show statistical information about COVID-19 that allows help to plan and design, in future Pandemics, public health policy strategies in Colombia. Methods. Daily information since the official declaration of Pandemic in Colombia (March 16 ­ 2020) was obtained by the National Health Institute (INS) and was organized in a database in order to conduct respective analysis. This information was compared to similar studies obtained based on the bibliographical review. Results and Conclusions. Results and conclusions are similar to those found in the reference literature: most part of those dead by COVID-19 are of senior age and male gender. Regarding Case Fatality Rate (CFR), it notoriously increases with age. The most vulnerable population displays an average age of ≥ 52.8 years. The less vulnerable population are young persons under 30 years of age, but specifically, those within the age range of 10 and 20 years. Gompertz and Logistic models can mathematically simulate the evolution of deaths and the evolution of CFR according to age

ResumenIntroducción. Este estudio muestra información estadística sobre el COVID-19 en Colombia a la fecha (1 de marzo de 2022). Específicamente, la evolución diaria, mensual y acumulada de contagios y defunciones, correlacionada con la distribución de la población según edad y sexo. Objetivo. Mostrar información estadística sobre COVID-19 que permita ayudar a planificar y diseñar, en futuras Pandemias, estrategias de política de salud pública en Colombia. Metodología. La información diaria desde la declaratoria oficial de Pandemia en Colombia (16 de marzo de 2020) fue obtenida del Instituto Nacional de Salud (INS) y fue organizada en una base de datos para realizar los análisis respectivos. Esta información se comparó con estudios similares obtenidos a partir de revisión bibliográfica. Resultados y conclusiones. Los resultados y conclusiones son similares a los encontrados en la literatura de referencia: la mayor parte de los fallecidos por COVID-19 son de edad avanzada y sexo masculino. En cuanto a la tasa de letalidad (CFR), ésta aumenta notoriamente con la edad. La población más vulnerable presenta una edad promedio ≥ 52.8 años. La población menos vulnerable son los jóvenes menores de 30 años, pero específicamente, los que se encuentran en el rango de edad de 10 y 20 años. Los modelos Gompertz y Logistic pueden simular matemáticamente la evolución de las muertes y la evolución de la CFR según la edad.