Measures of frequency of COVID-19 in Bogota DC.

Medidas de frecuencia por COVID-19 en Bogotá DC.

Introduction: As the COVID-19 virus continues to infect people around the world, much is still unknown about the long-term effects in recovered patients. There are reports of confirmed COVID 19 patients who experience lingering symptoms even three months after their initial recovery. Objective: to estimate the measures of frequency of prevalence, mortality and lethality of COVID-19 in the twenty localities of Bogota. Methodology: The database including people who were infected and have died from COVID-19 disease was used for the research, with the information accumulated for Bogota up to August 20 2020. Results: It was determined that the locality with the highest prevalence was Sumapaz with 28.47%, the locality with the highest mortality rate, was Tunjuelito with a rate of 0.9 and the locality with the highest percentage of lethality per 100 inhabitants, was also Tunjuelito, with a rate of 3.6. Conclusions: There has been a gradual increase in COVID-19 infections in the city of Bogotá throughout 2020. A total of 179.540 positive cases were registered as to August 21 2020, accounting for 34.95% of the national case tally. The trend of positive cases, mortality and lethality, will steadily rise until a definitive solution to the pandemic caused by this virus is found.

1. Banda JM, Singh GV, Alser O, Prieto-Alhambra D. Long-term patient-reported symptoms of COVID-19: an analysis of social media data. medRxiv. 2020:2020.07.29.20164418. DOI: https://doi.org/10.1101/2020.07.29.20164418
2. Karni N, Klein H, Asseo K, Benjamini Y, Israel S, Nimri M, et al. Self-rated smell ability enables highly specific predictors of COVID-19 status: a case control study in Israel. medRxiv. 2020:2020.07.30.20164327. DOI: https://doi.org/10.1101/2020.07.30.20164327
3. Utamura M, Koizumi M, Kirikami S. Isolation Considered Epidemiological Model for the Prediction of COVID-19 Trend in Tokyo, Japan. medRxiv. 2020:2020.07.31.20165829. DOI: https://doi.org/10.1101/2020.07.31.20165829
4. Tsai A, Diawara O, Nahass RG, Brunetti L. Impact of tocilizumab administration on mortality in severe COVID-19. medRxiv. 2020:2020.07.30.20114959. DOI:
5. https://doi.org/10.1101/2020.07.30.20114959
6. Rahman MM, Thill J-C, Paul KC. COVID-19 Pandemic Severity, Lockdown Regimes, and People Mobility: Evidence from 88 Countries. medRxiv. 2020:2020.07.30.20165290. DOI: https://doi.org/10.1101/2020.07.30.20165290
7. Becher M, Stegmueller D, Brouard S, Kerrouche E. Comparative experimental evidence on compliance with social distancing during the COVID-19 pandemic. medRxiv. 2020:2020.07.29.20164806. DOI: https://doi.org/10.1101/2020.07.29.20164806
8. Freitag MO, Schmude J, Siebenschuh C, Stolovitzky G, Hamann H, Lu S. Critical Mobility, a practical criterion and early indicator for regional COVID-19 resurgence. medRxiv. 2020:2020.07.30.20163790. DOI: https://doi.org/10.1101/2020.07.30.20163790
9. Petford N, Campbell J. Covid-19 mortality rates in Northamptonshire UK: initial sub-regional comparisons and provisional SEIR model of disease spread. medRxiv. 2020:2020.07.30.20165399. DOI: https://doi.org/10.1101/2020.07.30.20165399
10. Yang HM, Lombardi LP, Morato Castro FF, Yang AC. Mathematical modeling of the transmission of SARS-CoV-2 ″ Evaluating the impact of isolation in São Paulo State (Brazil) and lockdown in Spain associated with protective measures on the epidemic of covid-19. medRxiv. 2020:2020.07.30.20165191. DOI:
11. https://doi.org/10.1101/2020.07.30.20165191
12. Díaz Pinzón JE. Descripción estadística del COVID- 19 según el grupo etario en Colombia. Repert Med Cir. 2020;29(Supl. Núm.1):79-85. DOI: https://doi.org/10.31260/RepertMedCir.01217372.1098
13. Salud Capital. Datos de salud enfermedades transmisibles. Casos confirmados de COVID-19 en Bogotá D.C. [Internet]. Bogotá: Saludata, observatório de Salud de Bogotá; 2020 [citado 2020 agoso 21]; Disponible en: http://saludata.saludcapital.gov.co/osb/index.php/datos-de-salud/enfermedades-trasmisibles/covid19/.
14. Moreno-Altamirano A, López-Moreno MC, Sergio , Corcho-Berdugo A. Principales medidas en epidemiología. Salud Pública de México. 2000;42(4):337-48.
15. Instituto Nacional de Estadística e Informática (INEI). Metodología para el Cálculo de losIndicadores de Mortalidad. Metodologías Estadísticas. 2000;1(8):1-9.
16. Quintana-Salgado L. Medidas de frecuencia en epidemiología [Internet]. 2015 [citado 2020 julio 14]; Disponible en: https://es.slideshare.net/lualberts20/medidas-de-frecuencia-en-epidemiologa-2015.
17. Pita Fernández S, Pértegas Díaz S, Valdés Cañedo F. Medidas de frecuencia de enfermedad [Internet]. España: Elsevier; 2004 [citado 2020 julio 14]; Disponible en: https://www.fisterra.com/formacion/metodologia-investigacion/medidas-frecuencia-enfermedad/.
18. Pinto A. Prevalencia e Incidencia [Internet]. Slideshare; 2014 [cited 2020 agosto 21]; Available from: https://es.slideshare.net/alexpinto18/prevalencia-e-incidencia-2.
19. Díaz Pinzón JE. Estimación de las tasas de mortalidad y letalidad por COVID-19 en Colombia. Repert Med Cir. 2020;29(Núm Supl.1):89-93. DOI: https://doi.org/10.31260/RepertMedCir.01217372.1103