2021, Number 3
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Revista Cubana de Salud Pública 2021; 47 (3)
Relation between COVID-19 fatality rate and hospital resources
San-Martín-Roldán D, Calzadilla-Núñez A, San-Martín-Roldán P, López-Labarca C, Díaz-Calzadilla P, Díaz-Narváez VP
Language: Spanish
References: 26
Page: 1-14
PDF size: 940.25 Kb.
ABSTRACT
Introduction:
The fatality rate by COVID-19 has generated a lot of concern among citizens and the media regarding the official numbers provided by different governments. Public health today must cope with the most significant pandemic of the twenty-first century.
Objective:
Analyze the fatality rate due to COVID-19 and its relation with critical hospital resources, in the context of the COVID-19 pandemic.
Methods:
The fatality rate was analyzed on the basis of official data. The number of cases was underestimated to obtain a more real estimate of the extent of the infection, of the indicators of important (critical) hospital resources in pandemic transition that could raise the post-study fatality rate. Double-smoothed exponential trend curves, S-distribution and regression techniques were used.
Results:
The curve that best explained the behavior of COVID-19 deaths in Chile was a cubic regression equation. The basic hospitalization variable was distributed as an S-curve. The variables called mean hospitalization, critical patients, intensive treatment unit, intensive care unit, total mechanical ventilators and busy mechanical ventilators could be explained by cubic regressions. In all cases, R2 values were greater than 95 %.
Conclusions:
The number of deaths will continue to rise. It is suggested to fortify the basic hospitalization units to prevent the collapse of the health network. It is necessary to continue growing in terms of medium complexity hospitalization, intensive treatment unit, intensive care unit and total number of mechanical ventilators to ensure health support.
REFERENCES
Antunes BBP, Peres IT, Baião FA, Ranzani OT, Bastos LDSL, Silva AABD, et al. Progression of confirmed COVID-19 cases after the implementation of control measures. Rev Bras Ter Intensiva. 2020;32(2):213-23. DOI: 10.5935/0103-507x.20200028
Ali I. COVID-19: Are We Ready for the Second Wave? Disaster Med Public Health Prep. 2020;14(5):e16-e18. DOI: 10.1017/dmp.2020.149
Tambe MP, Parande MA, Tapare VS, Borle PS, Lakde RN, Shelke SC, et al. An epidemiological study of laboratory confirmed COVID-19 cases admitted in a tertiary care hospital of Pune, Maharashtra. Indian J Public Health. 2020;64(Supplement):S183-S187. DOI: 10.4103/ijph.IJPH_522_20
Tosi D, Verde A, Verde M. Clarification of Misleading Perceptions of COVID-19 Fatality and Testing Rates in Italy: Data Analysis. J Med Internet Res. 2020;22(6):e19825. DOI: 10.2196/19825
Ciufolini I, Paolozzi A. Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations. Eur Phys J Plus. 2020;135(4):355. DOI: 10.1140/epjp/s13360-020-00383-y
Shim E, Mizumoto K, Choi W, Chowell G. Estimating the Risk of COVID-19 Death During the Course of the Outbreak in Korea, February-May 2020. J Clin Med. 2020;9(6):E1641. DOI: 10.3390/jcm9061641
Abdollahi E, Champredon D, Langley JM, Galvani AP, Moghadas SM. Temporal estimates of case-fatality rate for COVID-19 outbreaks in Canada and the United States. CMAJ. 2020 Jun 22;192(25):E666-E670. DOI: 10.1503/cmaj.200711
Chile. Ministerio de Salud. Plan de acción Coronavirus COVID-19. Casos confirmados en Chile COVID-19. Chile: MINSAL; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-Covid-19/
Ministerio de Ciencia, Tecnología, Conocimiento e Innovación de Chile. Base de Datos COVID-19. Bogotá: Minciencia; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: http://www.minciencia.gob.cl/Covid19
Díaz-Narváez V, San-Martín-Roldán D, Calzadilla-Núñez A, San-Martín-Roldán P, Parody-Muñoz A, Robledo-Veloso G. Which curve provides the best explanation of the growth in confirmed COVID-19 cases in Chile? Rev. Latino-Am. Enfermagem. 2020;28:e3346. DOI: 10.1590/1518-8345.4493.3346
Canals LM, Canals CA. Percolación de la epidemia de influenza AH1N1 en el mundo: Utilidad de los modelos predictivos basados en conectividad espacial. Rev. méd. Chile. 2010;138(5):573-80. DOI: 10.4067/S0034-98872010000500007
Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19 infection: systematic review and critical appraisal. Version 2. BMJ. 2020;369:m1328. DOI: 10.1136/bmj.m1328
Turk PJ, Chou SH, Kowalkowski MA, Palmer PP, Priem JS, Spencer MD, et al. Modeling COVID-19 latent prevalence to assess a public health intervention at a state and regional scale. JMIR Public Health Surveill. 2020;6(2):e19353. DOI: 10.2196/19353. Epub ahead of print. PMID: 32427104.
De Natale G, Ricciardi V, De Luca G, De Natale D, Di Meglio G, Ferragamo A, et al. The COVID-19 Infection in Italy: A Statistical Study of an Abnormally Severe Disease. J Clin Med. 2020;9(5):E1564. DOI:10.3390/jcm9051564
The Directorate of Health and The Department of Civil Protection and Emergency Management, Embættilandlæknis. Directorate of Health. COVID-19 in Iceland-Statistics; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: https://www.Covid.is/data
Robert Koch Institute (RKI). COVID-19 in Germany. Germany: RKI; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Fallzahlen.html
Australian Government Department of Health. Coronavirus (COVID-19) at a glance infographic collection; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: https://www.health.gov.au/resources/collections/coronavirus-Covid-19-at-a-glance-infographic-collection
Republic of Korea. Cases in Korea. Coronavirus Disease-19; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: http://ncov.mohw.go.kr/en
Ministry of Health Manatū Hauora. COVID-19 (novel coronavirus); 2020 [acceso 25/06/2020]. Disponible en: Disponible en: https://www.health.govt.nz/our-work/diseases-and-conditions/Covid-19-novel-coronavirus
Federal Ministry Republic of Austria Social Affairs, Health, Care and Consumer Protection. Sozial Ministerium Official. COVID-19 Dashboard - Explanatory Notes; 2020 [acceso 25/06/2020]. Disponible en: Disponible en: https://www.sozialministerium.at/en/Coronavirus/Official-COVID-19-Dashboard---Explanatory-Notes.html
Giannopoulou I, Tsobanoglou GO. COVID-19 pandemic: challenges and opportunities for the Greek health care system. Ir J Psychol Med. 2020;37(3):226-30. DOI: 10.1017/ipm.2020.35
Besigye IK, Mulowooza M, Namatovu J. Coronavirus disease-2019 epidemic response in Uganda: The need to strengthen and engage primary healthcare. Afr J Prim Health Care Fam Med. 2020;12(1):e1-e3. DOI: 10.4102/phcfm.v12i1.2443
Garg S, Basu S, Rustagi R, Borle A. Primary Health Care Facility Preparedness for Outpatient Service Provision During the COVID-19 Pandemic in India: Cross-Sectional Study. JMIR Public Health Surveill. 2020;6(2):e19927. DOI: 10.2196/19927
Souza CDF, Gois-Santos VT, Correia DS, Martins-Filho PR, Santos VS. The need to strengthen Primary Health Care in Brazil in the context of the COVID-19 pandemic. Braz Oral Res. 2020;34:e047. DOI:10.1590/1807-3107bor-2020.vol34.0047
Bellmunt JM, Caylà JA, Millet JP. El papel fundamental de la Atención Primaria y de la Salud Pública [Contact tracing in patients infected with SARS-CoV-2. The fundamental role of Primary Health Care and Public Health]. Semergen. 2020;46(Suppl 1):55-64. Spanish. DOI: 10.1016/j.semerg.2020.06.001
Zhai P, Ding Y, Wu X, Long J, Zhong Y, Li Y. The epidemiology, diagnosis and treatment of COVID-19. Int J Antimicrob Agents. 2020 May;55(5):105955. DOI: 10.1016/j.ijantimicag.2020.105955