Abstract

Objective:

To describe the profile of deaths and the lethality of Severe Acute Respiratory Syndrome (SARS) due to COVID-19 in hospitalized children and adolescents in Brazil.

Methods:

This was a cross-sectional study conducted with data from the SARS notification forms of children and adolescents (0 to 19 years old) with laboratory-confirmed COVID-19. Notifications with complete progression of SARS due to COVID-19 were included, up to the 38th Epidemiological Week of 2020.

Results:

6,989 hospitalizations were investigated, 661 died, resulting in 9.5% hospital lethality. Higher lethality rates were observed among children under 1 year of age (14.2%), female children and adolescents (9.7%), the indigenous (23.0%), and those living in rural areas (18.1 %), as well as in the Northeast (15.4%) and North (9.7%) regions of Brazil.

Conclusion:

Differences in hospital mortality were found according to sociodemographic characteristics and marked regional inequalities.

Keywords:
Severe Acute Respiratory Syndrome; Coronavirus Infections; Child; Adolescent; Lethality; Cross-Sectional Studies

Introduction

COVID-19 is a communicable disease caused by SARS-CoV-2, a new type of coronavirus related to severe acute respiratory syndrome (SARS).¹1. Gorbalenya AE, Baker SC, Baric RS, Groot RJ, Drosten C, Gulyaeva AA, et al. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nature Microbiol [Internet]. 2020 Mar [cited 2020 Jul 31];5(4):536-44. Available from: https://doi.org/10.1038/s41564-020-0695-z
https://doi.org/10.1038/s41564-020-0695-... The disease has spread rapidly and gained pandemic proportions, with social, health and economic implications. As at September 28th 2020, 33,034,598 COVID-19 cases and 996,342 deaths had been confirmed worldwide.²2. World Health Organization -WHO. WHO Coronavirus disease (COVID-19) dashboard [Internet]. Geneva: World Health Organization; 2020 [cited 2020 Jul 8]. Available from: https://covid19.who.int
https://covid19.who.int...

In Brazil, 388,901 SARS cases due to COVID-19 were notified between Epidemiological Weeks 1 and 38, 2020. Hospitalizations due to this condition among children and adolescents (0-19 years old) totaled 9,483 cases in the same period, corresponding to 2.4% of all hospitalizations for SARS due to COVID-19. In addition, 69.9% of SARS deaths between Epidemiological Weeks 1 and 38, 2020, were confirmed as COVID-19 cases, whereby deaths among children and adolescents from this cause accounted for 0.68% in relation to all age groups.³3. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Doença pelo coronavírus COVID-19. Bol Epidemiol [Internet]. 2020 set [citado 2020 set 9];32(especial). Disponível em: https://www.gov.br/saude/pt-br/assuntos/boletins-epidemiologicos-1/set/boletim-epidemiologico-covid-32-final-23-09_18h30.pdf
https://www.gov.br/saude/pt-br/assuntos/...

The fourth phase of the largest epidemiological study of coronavirus in Brazil, ‘Evolution of COVID-19 Infection Prevalence in Brazil – Epicovid19-BR’, demonstrated a change in the age pattern of infected people in Brazil between June and August 2020, with proportional growth in infection among children and elderly people and a reduction among adults, for whom the rates were initially the highest.⁴4. Universidade Federal de Pelotas. Pró-Reitoria de Gestão da Informação e Comunicação. Quarta fase do EPICOVID19-BR mostra desaceleração do coronavírus no Brasil [Internet]. Pelotas: UFPEL; 2020 [citado 2020 set 22]. Disponível em: https://ccs2.ufpel.edu.br/wp/2020/09/16/quarta-fase-do-epicovid19-br-mostra-desaceleracao-do-coronavirus-no-brasil/
https://ccs2.ufpel.edu.br/wp/2020/09/16/... Moreover, there is a scarcity of special prevention and control measures specifically for children and adolescents, except for schools being closed and children over 5 years old and adolescents wearing facemasks.⁵5. World Health Organization - WHO. Advice on the use of masks for children in the community in the context of COVID-19 [Internet]. Geneva: World Health Organization; 2020 [cited 2020 Sep 22]. Available from: https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC_Masks-Children-2020.1
https://www.who.int/publications/i/item/...

There are studies that describe COVID-19 characteristics among adults and the elderly in India⁶6. Gupta N, Agrawal S, Ish P, Mishra S, Gaind R, Usha G, et al. Clinical and epidemiologic profile of the initial COVID-19 patients at a tertiary care centre in India. Monaldi Arch Chest Dis [Internet]. 2020 Apr [cited 2020 Jul 31];90(1). Available from: https://doi.org/10.4081/monaldi.2020.1294
https://doi.org/10.4081/monaldi.2020.129... and China.⁷7. Tian S, Hu N, Lou J, Chen K, Kang X, Xiang Z, et al. Characteristics of COVID-19 infection in Beijing. J Infect [Internet]. 2020 Apr [cited 2020 Jul 31];80(4):401-6. Available from: https://doi.org/10.1016/j.jinf.2020.02.018
https://doi.org/10.1016/j.jinf.2020.02.0... However, aggregated data for children and adolescents are still limited, especially with regard to lethality.⁸8. Ludvigsson J. Systematic review of COVID-19 in children shows milder cases and a better prognosis than adults. Acta Paediatrica [Internet]. 2020 [cited 2020 Jul 31];109(6):1088-95. Available from: https://doi.org/10.1111/apa.15270
https://doi.org/10.1111/apa.15270... A systematic review of COVID-19 among children found that they accounted for between 1 and 5% of confirmed cases and generally the clinical course was milder than among adults.⁸8. Ludvigsson J. Systematic review of COVID-19 in children shows milder cases and a better prognosis than adults. Acta Paediatrica [Internet]. 2020 [cited 2020 Jul 31];109(6):1088-95. Available from: https://doi.org/10.1111/apa.15270
https://doi.org/10.1111/apa.15270... However, a study conducted with cases aged under 18 years old in China, between January 16^th and February 8th 2020, indicated that up to 2.9% of confirmed cases can be severe or critical, rising to 5.8% when taking suspected cases into consideration, with cases being more serious and more prevalent among those under 1 year old.⁹9. Dong Y, Mo X, Hu Y, Qi Xin, Jiang F, Jiang Z, et al. Epidemiology of COVID-19 Among Children in China. Pediatrics [Internet]. 2020 [cited 2020 Jul31];145(6):e20200702. Available from: http://doi.org/10.1542/peds.2020-0702
http://doi.org/10.1542/peds.2020-0702...

In the Brazilian context, distinct actions to address the disease can be seen between the country’s states, in addition to regional inequalities in access to health services.

With the aim of contributing to a more comprehensive understanding of certain epidemiological characteristics of the disease, so as to inform the construction of prevention and combat measures, the objective of this study was to describe the profile of deaths and lethality of severe acute respiratory syndrome (SARS) caused by COVID-19 in hospitalized children and adolescents in Brazil.

Methods

This was a cross-sectional study using secondary data from SARS notification forms of hospitalized cases, retrieved from the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe).

In 2020, COVID-19 surveillance was incorporated into the influenza and other respiratory virus surveillance network. SARS cases are defined when the following criteria are met: (i) hospitalized individual with fever, even when self-reported; (ii) cough or sore throat; (iii) dyspnea or O₂ saturation <95% or breathing difficulties; and (iv) need for hospitalization or progression to death when presenting the above symptoms, regardless of hospitalization.¹⁰10. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Ficha de registro individual: casos de síndrome respiratória aguda grave hospitalizado [Internet]. Brasília: Ministério da Saúde; 2020 [citado 2020 jul 8]. Disponível em: http://189.28.128.100/sivep-gripe/Ficha_SIVEP_GRIPE_SRAG_Hospital_31_03_2020.pdf
http://189.28.128.100/sivep-gripe/Ficha_...

The study included children and adolescents (0-19 years) hospitalized due to SARS with laboratory diagnosis of COVID-19 in Brazil. Cases were excluded if the ‘progression’ (cure/death) variable on their notification form did not contain complete information. The analysis period covered Epidemiological Weeks 1 to 38, 2020 (up to 19/09/2020).¹¹11. Ministério da Saúde (BR). Sistema de Informação de Agravos de notificação (SINAN). Calendário epidemiológico de 2020 [Internet]. Brasília: Ministério da Saúde; 2020 [citado 2020 jul 10]. Disponível em: http://portalsinan.saude.gov.br/calendario-epidemiologico
http://portalsinan.saude.gov.br/calendar...

The variables studied were:

1. Age range (in years: under 1 year old 1; 1-4; 5-9; 10-14; 15-19);

2. Sex (female; male);

3. Race/skin color (white; black; brown; yellow; indigenous; unknown);

4. Zone of residence (urban; rural; peri-urban); and

5. Brazilian macro-region of hospitalization by place of residence (South; Southeast; Midwest; Northeast; North).

The absolute and relative frequencies of the variables of interest were calculated, with their respective 95% confidence intervals (95%CI), and were also stratified according to the ‘death’ variable.

The proportions of hospital lethality for children and adolescents were calculated by taking the number of SARS deaths with confirmation of COVID-19 in the 0-19 years age range up to Epidemiological Week 38, divided by the total number of cases hospitalized due to SARS with confirmation of COVID-19 in the respective age range up to Epidemiological Week 38, multiplied by 100. The data were stored on Microsoft Excel spreadsheets and later exported and analyzed using the Stata computer program, version 14.0.

The study was conducted using public domain secondary data,¹²12. Conselho Nacional de Saúde (BR). Resolução nº 510, de 7 de abril de 2016 [Internet]. Brasília: Conselho Nacional de Saúde; 2016 [citado 2020 jul 20]. Disponível em: http://conselho.saude.gov.br/resolucoes/2016/Reso510.pdf
http://conselho.saude.gov.br/resolucoes/... available at a website maintained by the Brazilian National Health System Department of Information Technology – opendatasus.saude.gov.br – and accessed by the authors on September 28th 2020.

Results

Brazil recorded 6,989 hospitalizations because of SARS due to COVID-19 among children and adolescents up to Epidemiological Week 38, 2020. The majority of these hospitalizations were concentrated in the Southeast region (35.2% – 95%CI 34.1;36.4), followed by the Northeast region (27.5% – 95%CI 26.4;28.5). The 1-4 year and 15-19 year age groups accounted for the majority of hospitalizations, with 27.5% (95%CI 26.4;28.4) and 24.4% (95%CI 23.3;25.4), respectively. There were more hospitalizations among female children and adolescents (51.6% – 95%CI 50.4;52.7) and those of brown race/skin color (50.8% – 95%CI 49.6;52.0) (Table 1).

With regard to proportional distribution of deaths, similar proportions were found between children under 1 year old (28.9% – 95%CI 25.5;32.4) and adolescents aged 15-19 years old (28.4% – 95%CI 25.1;32.0), with a higher proportion of females (52.9% – 95%CI 49.1;56.7), those of brown race/skin color (54.1% – 95%CI 50.1;58.0) and those living in urban areas (84.6% – 95%CI 81.3;87.2) (Table 1).

Of the total number of hospitalizations (n=6,989), 661 died (9.5% – 95%CI 8.9;13.7), resulting in 9.5% hospital lethality. Hospital lethality was found to be greater in children under 1 year old (14.2%), females (9.7%) and those who lived in rural areas (18.1%). Attention is drawn to the high lethality rate found among the indigenous (23.0%), which was the highest among all the categories analyzed. Among the Brazilian macro-regions, the Northeast (15.4%) and the North (9.7%) had the highest hospital lethality (Table 1).

Discussion

Among children and adolescents hospitalized because of SARS due to COVID-19, hospital lethality was greater among children under 1 year old, females, those living in rural areas and in Northeast Brazil and, above all, among the indigenous.

Data contained in the Ministry of Health Epidemiological Bulletin (2020)³3. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Doença pelo coronavírus COVID-19. Bol Epidemiol [Internet]. 2020 set [citado 2020 set 9];32(especial). Disponível em: https://www.gov.br/saude/pt-br/assuntos/boletins-epidemiologicos-1/set/boletim-epidemiologico-covid-32-final-23-09_18h30.pdf
https://www.gov.br/saude/pt-br/assuntos/... indicated that as at Epidemiological Week 38, 2020, hospitalizations of children and adolescents due to SARS with confirmed COVID-19 accounted for 2.4% of all hospitalizations due to this cause.³3. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Doença pelo coronavírus COVID-19. Bol Epidemiol [Internet]. 2020 set [citado 2020 set 9];32(especial). Disponível em: https://www.gov.br/saude/pt-br/assuntos/boletins-epidemiologicos-1/set/boletim-epidemiologico-covid-32-final-23-09_18h30.pdf
https://www.gov.br/saude/pt-br/assuntos/... Although this percentage does not represent the majority of hospitalizations because of SARS due to COVID-19, a study conducted at the Massachusetts General Hospital, in the United States of America (USA),¹³13. Yonker LM, Neilan AM, Bartsch Y, Patel AB, Regan J, Arya P, et al. Pediatric SARS-CoV-2: clinical presentation, infectivity, and immune responses. J Pediatrics [Internet] 2020 Aug [cited 2020 Sep 10];S0022-3476(20):31023-4. Available from: https://doi.org/10.1016/j.jpeds.2020.08.037
https://doi.org/10.1016/j.jpeds.2020.08.... suggests that children may have high viral loads despite frequently not developing severe COVID-19 symptoms, so that they represent a potential source of contagion and greater cause for concern for public health services, especially in the case of multigenerational families.³3. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Doença pelo coronavírus COVID-19. Bol Epidemiol [Internet]. 2020 set [citado 2020 set 9];32(especial). Disponível em: https://www.gov.br/saude/pt-br/assuntos/boletins-epidemiologicos-1/set/boletim-epidemiologico-covid-32-final-23-09_18h30.pdf
https://www.gov.br/saude/pt-br/assuntos/...

The number of deaths among children and adolescents in other countries diverges from the Brazilian context.¹⁴14. Lu X, Zhang L, Du H, Zhang J, Li YY, Qu J, et al. SARS-CoV-2 infection in children. N Eng J Med [Internet]. 2020 [cited 2020 Jul 31];382(17):1663-5. Available from: http://doi.org/10.1056/NEJMc2005073
http://doi.org/10.1056/NEJMc2005073... ^,1515. Coronavirus in Kids – COVKID. Tracking and education project [Internet]. [S.l.]: COVKID; 2020 [cited 2020 Jul 20]. Available from: https://www.covkidproject.org/
https://www.covkidproject.org/... Data from the USA ‘Coronavirus in Kids (COVKID) Tracking and Education’ project,¹⁵15. Coronavirus in Kids – COVKID. Tracking and education project [Internet]. [S.l.]: COVKID; 2020 [cited 2020 Jul 20]. Available from: https://www.covkidproject.org/
https://www.covkidproject.org/... indicate that as at July 19^th 2020, 75 deaths from COVID-19 among children and adolescents aged 0-19 had been detected in that country. Despite the USA – with regard to the number of cases – having been recognized as the epicenter of the pandemic in July 2020,²2. World Health Organization -WHO. WHO Coronavirus disease (COVID-19) dashboard [Internet]. Geneva: World Health Organization; 2020 [cited 2020 Jul 8]. Available from: https://covid19.who.int
https://covid19.who.int... its statistics for children and adolescents are lower, indicating that Brazil needs to strengthen its prevention measures in this age range.

This study corroborates the severity of the disease in children under 1 year old found by an earlier study. In China, among 2,143 pediatric patients with COVID-19, researchers found that neonatal babies were more vulnerable for the severe type of infection.⁹9. Dong Y, Mo X, Hu Y, Qi Xin, Jiang F, Jiang Z, et al. Epidemiology of COVID-19 Among Children in China. Pediatrics [Internet]. 2020 [cited 2020 Jul31];145(6):e20200702. Available from: http://doi.org/10.1542/peds.2020-0702
http://doi.org/10.1542/peds.2020-0702... A recent study highlighted that the main form of COVID-19 infection in children (4 days to 14 years old) was through family groups, and that standing out among the clinical characteristics were long incubation periods, fever and coughing.¹⁶16. Xian Guo C, He L, Yin JY, Meng XG, Tan W, Yang GP. Epidemiological and clinical features of pediatric COVID-19. BMC Med [Internet]. 2020 [cited 2020 Sep 7];18(1):250. Available from: https://doi.org/10.1186/s12916-020-01719-2
https://doi.org/10.1186/s12916-020-01719... The same study found that 30% of asymptomatic children had post-infection lung damage.¹⁶16. Xian Guo C, He L, Yin JY, Meng XG, Tan W, Yang GP. Epidemiological and clinical features of pediatric COVID-19. BMC Med [Internet]. 2020 [cited 2020 Sep 7];18(1):250. Available from: https://doi.org/10.1186/s12916-020-01719-2
https://doi.org/10.1186/s12916-020-01719...

Although hospital lethality was greater among children under 1 year old, they were closely followed by adolescents aged 15-19 years old. It is possible that among adolescents hospitalized with COVID-19, pre-existing chronic conditions may have been associated with worsening of the clinical picture and with high death and lethality frequency in the group studied. Data indicate that occurrence of chronic diseases, such as obesity, diabetes mellitus and asthma, is growing among adolescents, and this may explain the findings.¹⁷17. Perrin J, Anderson L, Van Cleave J. The rise in chronic conditions among infants, children, and youth can be met with continued health system innovations. Health Affairs [Internet]. 2014 [cited 2020 Aug 21];33(12):2099-105. Available from: http://doi.org/10.1377/hlthaff.2014.0832
http://doi.org/10.1377/hlthaff.2014.0832... It is important to highlight that this study did not investigate whether there were pre-existing chronic diseases.

Highest hospital lethality was found among females, although there is no evidence of differences between the sexes of susceptibility to COVID-19 infection and lethality, especially among pediatric populations.¹⁸18. She J, Liu L, Liu W. COVID-19 epidemic: disease characteristics in children. J Med Virol [Internet]. 2020 [cited 2020 Jul 31];92(7):747-54. Available from: https://doi.org/10.1002/jmv.25807
https://doi.org/10.1002/jmv.25807... With regard to zone of residence, greater frequency of deaths in urban areas may be explained by most of the population living in these areas. On the other hand, greater lethality among those living in rural areas may be a warning of COVID-19 gaining strength in rural areas,¹⁹19. Paul R, Arif A, Adeyemi O, Ghosh S, Han D. Progression of COVID-19 from urban to rural areas in the United States: a spatiotemporal analysis of prevalence rates. J Rural Health [Internet]. 2020 [cited 2020 Jul 31]. Available from: https://dx.doi.org/10.1111/jrh.12486
https://dx.doi.org/10.1111/jrh.12486... given the vulnerabilities of population groups in rural communities, such as poorer access to health services.²⁰20. Peters D. Community susceptibility and resiliency to COVID-19 across the rural-urban continuum in the United States. J Rural Health [Internet]. 2020 [cited 2020 Jul 31];36(3):446-56. Available from: https://doi.org/10.1111/jrh.12477
https://doi.org/10.1111/jrh.12477...

Greater hospital lethality occurred in the Northeast and North regions, which also had the highest overall COVID-19 mortality rates.²¹21. Ministério da Saúde (BR). Secretaria de Vigilância à Saúde. Guia de vigilância epidemiológica: Covid-19 - Painel coronavírus [Internet]. Brasília: Ministério da Saúde; 2020 [citado 2020 jul 20]. Disponível em: https://covid.saude.gov.br/
https://covid.saude.gov.br/... In September 2020, the Northeast and the North recorded rates of 68.1 and 80.5 deaths per 100,000 inhabitants, respectively.²¹21. Ministério da Saúde (BR). Secretaria de Vigilância à Saúde. Guia de vigilância epidemiológica: Covid-19 - Painel coronavírus [Internet]. Brasília: Ministério da Saúde; 2020 [citado 2020 jul 20]. Disponível em: https://covid.saude.gov.br/
https://covid.saude.gov.br/... These data confirm the social inequalities existing between Brazil’s regions, since despite the levels of social isolation of some state in those two regions having remained the highest in Brazil during the COVID-19 pandemic,²²22. Inloco. Controle à COVID-19: respeitando a privacidade individual [Internet]. [S.l.]: Inloco; 2020 [citado 2020 out 13]. Disponível em: https://www.inloco.com.br/covid-19
https://www.inloco.com.br/covid-19... nevertheless lethality due to the disease continues to be higher there. Addressing the pandemic therefore needs to take into consideration social vulnerabilities not only in relation to health conditions but also health service structure, organization and quality in each territory.²³23. Natividade MS, Bernardes K, Santos MP, Miranda S, Bertoldo J, Teixeira MG, et al. Distanciamento social e condições de vida na pandemia COVID-19 em Salvador-Bahia. Ciên Saúde Coletiva [Internet]. 2020 set [citado 2020 ago 21];25(9):3385-92. Disponível em: https://doi.org/10.1590/1413-81232020259.22142020
https://doi.org/10.1590/1413-81232020259...

The results reveal that the majority of deaths occurred among children and adolescents of brown race/skin color, pointing to racial and ethnic disparities in the COVID-19 pandemic, regardless of age. Specific data on children in New York City, USA, demonstrated that out of total deaths among those aged 0-17 years old, approximately 15% were of Black race/skin color, compared to 4.4% of White race/skin color.¹⁵15. Coronavirus in Kids – COVKID. Tracking and education project [Internet]. [S.l.]: COVKID; 2020 [cited 2020 Jul 20]. Available from: https://www.covkidproject.org/
https://www.covkidproject.org/...

Hospital lethality was greater among indigenous children and adolescents. Once again in the United States, the COVID-19 hospitalization rate is 4 to 5 times higher among non-Hispanic indigenous Americans or Alaskan natives, non-Hispanic Black people and Hispanic or Latino people than among non-Hispanic White people.²⁴24. Centers for Disease Control and Prevention - CDC. COVID-19 in Racial and ethnic minority groups [Internet]. Washington, D.C.: CDC; 2020 [cited 2020 Jul 20]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/racial-ethnic-minorities.html
https://www.cdc.gov/coronavirus/2019-nco...

Greater lethality among the indigenous population may be a reflection of the historical barrier to health services, health conditions, prevalence of malnutrition, communicable and chronic diseases, apart from countless problems associated with invasion and environmental contamination of their lands by precious metal prospecting, farming and cattle-rearing activities, which are determining factors of the inequality faced by the indigenous population in Brazil.²⁵25. Meneses-Navarro S, Freyermuth-Enciso M, Pelcastre-Villafuerte B, Campos-Navarro R, Meléndez-Navarro D, Gómez-Flores-Ramos L. The challenges facing indigenous communities in Latin America as they confront the COVID-19 pandemic. Int J Equity Health [Internet]. 2020 [cited 2020 Jul 31];19(1). Available from: https://doi.org/10.1186/s12939-020-01178-4
https://doi.org/10.1186/s12939-020-01178... ^,2626. Ministério da Saúde (BR). Fundação Oswaldo Cruz. Risco de espalhamento da COVID-19 em populações indígenas: considerações preliminares sobre vulnerabilidade geográfica e sociodemográfica. 4º relatório - 18 abril 2020 [Internet]. Brasília: Ministério da Saúde; 2020 [citado 2020 set 08]. Disponível em: https://agencia.fiocruz.br/sites/agencia.fiocruz.br/files/u91/relatorios_tecnicos_-_covid-19_procc-emap-ensp-covid-19-report4_20200419-indigenas.pdf
https://agencia.fiocruz.br/sites/agencia... Limited access to water – for hand-washing as a prevention measure –, poor communication and lack of a Health response with an intercultural perspective, along with large-scale migration from large cities and tourist locations back to communities of origin, represent high risk of contagion for indigenous communities. These elements can contribute to severe COVID-19 cases “sweeping through” communities with precarious health and living conditions.²⁵25. Meneses-Navarro S, Freyermuth-Enciso M, Pelcastre-Villafuerte B, Campos-Navarro R, Meléndez-Navarro D, Gómez-Flores-Ramos L. The challenges facing indigenous communities in Latin America as they confront the COVID-19 pandemic. Int J Equity Health [Internet]. 2020 [cited 2020 Jul 31];19(1). Available from: https://doi.org/10.1186/s12939-020-01178-4
https://doi.org/10.1186/s12939-020-01178...

Likewise, the macro-regions where greater hospital lethality was found, as well as the demographic characteristics of the most affected children, point to the health inequalities existing in Brazil.

Lethality is influenced both by individual intrinsic characteristics and also by Health resource availability, distribution and quality.²⁷27. Feng Y, Ling Y, Bai T, Xie Y, Huang J, Li J, et al. COVID-19 with Different severities: a multicenter study of clinical features. Am J Respirat Critical Care Med [Internet]. 2020 [cited 2020 Jul 31];201(11):1380-8. Available from: https://doi.org/10.1164/rccm.202002-0445OC
https://doi.org/10.1164/rccm.202002-0445... ^,2828. Viacava F, Oliveira R, Carvalho C, Laguardia J, Bellido J. SUS: oferta, acesso e utilização de serviços de saúde nos últimos 30 anos. Ciênc Saúde Coletiva [Internet]. 2018 [citado 2020 jul 31];23(6):1751-62. Disponível em: https://doi.org/10.1590/1413-81232018236.06022018
https://doi.org/10.1590/1413-81232018236... As such the data presented warn as to the impact of these inequalities on lethality among the population. As coronavirus infection is new and has the potential to result in severe cases, researchers recommend that health care should be reinforced, principally to protect children with underlying dieases.²⁹29. Pavone P, Ceccarelli M, Taibi R, La Rocca G, Nunnari G. Outbreak of COVID-19 infection in children: fear and serenity. Eur Rev Med Pharmacol Sci [Internet]. 2020 [cited 2020 Jul 31];24(8):4572-4575.Available from: https://doi.org/10.26355/eurrev_202004_21043
https://doi.org/10.26355/eurrev_202004_2...

A positive point of the study is that analysis of secondary databases, especially national databases, is a good way of assessing the epidemiological status of a given population, in addition to investigating an age group that has not been given much consideration within the COVID-19 scenario.

Among the limitations of the study is the bias related to severe cases being hospitalized more (hospitalization bias) and, consequently, the lethality rates found not representing the rates among the general population of children and adolescents. A further point is the direct influence of the heterogeneous quality of notification form completeness in each Brazilian region. Moreover, it was not possible to control duplicated cases in the records used since there are no variables identifying cases. However, if someone was affected more than once by SARS diagnosed as COVID-19, few studies have demonstrated cases of reinfection.³⁰30. Chen D, Xu W, Lei Z et al. Recurrence of positive SARS-CoV-2 RNA in COVID-19: a case report. Int J Infect Dis [internet]. 2020 [cited 2020 Sep 8];93:297-9. Available from: https://doi.org/10.1016/j.ijid.2020.03.003
https://doi.org/10.1016/j.ijid.2020.03.0... Finally, this study did not investigate the presence of pre-existing diseases.

Analysis of hospitalizations and death and lethality profiles is essential for building measures to prevent and combat COVID-19 in Brazil, especially among hospitalized children and adolescents. Although this is not the most affected population, it is a group that is a source of transmission of infection and is showing increased COVID-19 lethality. The results presented highlight the need to meet the demands of the entire Brazilian pediatric population, especially those living in rural areas, those under 1 year old, indigenous and living in Brazil’s North and Northeast regions. There is no single measure for addressing the disease in a country as large and so structurally, culturally and geographically diversified as Brazil. Notwithstanding, health service managers need to adopt measures that are most appropriate for particularities of each region and of the most vulnerable population segments.

References

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