ABSTRACT
Objective:
To describe the clinical characteristics of cases of COVID-19 severe acute respiratory syndrome (SARS) in Brazilian newborns (NBs) in 2020 and 2021, recorded in the Influenza Epidemiological Surveillance Information System (Sistema de Informação da Vigilância Epidemiológica da Gripe — SIVEP-Gripe).
Methods:
The variables analyzed were gender, race/skin color, hospitalization, intensive care unit (ICU) admission, use of ventilatory support, signs and symptoms (fever, cough, O2 saturation<95%, dyspnea, respiratory distress, diarrhea, and vomiting), progress (death or cure), risk factors/comorbidities. Categorical variables were expressed as absolute and relative frequencies.
Results:
We found 1,649 records of COVID-19 SARS in NBs, with a predominance of multiracial babies in both years. The most frequent symptoms in 2020 and 2021 were, respectively: respiratory distress (67.0 and 69.7%), fever (46.3 and 46.2%), and cough (37.0 and 46.3%). In 2020, 30.5% of patients received invasive ventilatory support; in 2021, this number was 41.6%. In addition, more than 55% of cases required ICU admission, and over 16% died.
Conclusion:
We emphasize the high proportion of cases that required intensive care and progressed to death.
Keywords:
COVID-19; Severe acute respiratory syndrome; Newborn; Brazil; Epidemiology; Public health
INTRODUCTION
In March 2020, the World Health Organization declared that COVID-19, a disease caused by the novel coronavirus identified as SARS-CoV-2, reached a pandemic state11 Organização Pan-Americana de Saúde. Histórico da Pandemia de COVID-19. Brasília: OPAS [Internet]. 2022 [cited on May 23, 2022]. Available at: https://www.paho.org/pt/covid19/historico-da-pandemia-covid-19
https://www.paho.org/pt/covid19/historic... . Although initially limited to older age groups, severe cases were progressively reported among neonates, posing great challenges to health care for this age range22 Ryan L, Plötz FB, van den Hoogen A, Latour JM, Degtyareva M, Keuning M, et al. Neonates and COVID-19: state of the art: neonatal sepsis series. Pediatr Res 2022; 91(2): 432-39. https://doi.org/10.1038/s41390-021-01875-y
https://doi.org/10.1038/s41390-021-01875... .
Newborns (NBs) are considered a risk group due to the immaturity of their immune system and other conditions — such as prematurity — responsible for important changes in the respiratory system33 Santos VS, Siqueira TS, Atienzar AIC, Santos MARR, Vieira SCF, Lopes ASA, et al. Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: a nationwide population-based ecological study. Lancet Reg Health Am 2022; 13: 100311. https://doi.org/10.1016/j.lana.2022.100311
https://doi.org/10.1016/j.lana.2022.1003... . Thus, this research aimed to describe the clinical characteristics of cases of COVID-19 severe acute respiratory syndrome (SARS) in the age group from 0 to 28 days in Brazil in 2020 and 2021.
METHODS
This is a descriptive study of COVID-19 SARS cases in the age group from 0 to 28 days in Brazil in 2020 and 2021, recorded in the Influenza Epidemiological Surveillance Information System (Sistema de Informação da Vigilância Epidemiológica da Gripe — SIVEP-Gripe), an official system for the record of SARS cases and deaths in the country.
The Ministry of Health has been monitoring SARS since the influenza A (H1N1) pandemic in 2009. Since then, SARS surveillance has been implemented in the Influenza and other respiratory viruses surveillance network, into which COVID-19 SARS was integrated in 202044 Brasil. Ministério da Saúde. DataSUS. SRAG 2020 - Banco de Dados de Síndrome Respiratória Aguda Grave – incluindo dados da COVID-19. Brasil [Internet]. 2021 [cited on Nov 1, 2022]. Available at: https://opendatasus.saude.gov.br/dataset/srag-2020
https://opendatasus.saude.gov.br/dataset... . Cases are reported to the “Individual Report Form for SARS Cases” (https://opendatasus.saude.gov.br/dataset/61d8e424-a008-47f3-80e1-2369f2f48cef/resource/25b6d4e6-31a8-4352-93e2-c9626bb529bc/download/ficha-srag-final-27.07.2020_final.pdf), which considers both hospitalized SARS patients and SARS deaths, regardless of hospitalization.
The study population was all NB cases (0 to 28 days of age) with a final classification of COVID-19 SARS, considering laboratory (antigen tests, polymerase chain reaction), imaging (X-ray and chest computed tomography), clinical (signs and symptoms), and epidemiological criteria (https://opendatasus.saude.gov.br/dataset/61d8e424-a008-47f3-80e1-2369f2f48cef/resource/9f6ba348-0033-49b1-abbe-719a0ffbeb28/download/dicionario-de-dados-srag-hospitalizado-27.07.2020-final.pdf). Data were collected from the portal https://opendatasus.saude.gov.br/dataset on March 9, 2022.
We used the following variables of the “Individual Report Form for SARS Cases”: gender (female or male); race/skin color (declared by the patient or guardian and following the categories of the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística — IBGE): White, Black, Asian, multiracial, and Indigenous); hospitalization (yes or no); ICU admission (yes or no); use of ventilatory support (yes, invasive support; yes, non-invasive support; or no); signs and symptoms (fever, cough, O2 saturation<95%, dyspnea, respiratory distress, diarrhea, and vomiting); case progress (cure or death); risk factors/comorbidities (yes or no): heart diseases, immunodeficiencies, neuropathies, lung diseases, Down syndrome, and others.
Prematurity — gestational age less than 37 weeks at birth — is not an option in the “risk factor” variable of the report form. When present, it is described in the “other risk factors/comorbidities” field.
Categorical variables were expressed as absolute and relative frequencies. We calculated absolute and relative frequencies of prematurity separately when it was specified in other risk factors/comorbidities.
Regarding the “progress” variable, the proportion of hospital deaths from COVID-19 SARS in the country was calculated by the ratio between the number of deaths in the age group from 0 to 28 days and the number of records in the SIVEP-Gripe per year of occurrence, multiplied by 100. Ignored items of all analyzed variables were excluded and considered losses. Analyses were performed in the Stata® software, version 16.
The Research Ethics Committee (REC) of the Hospital Universitário da Universidade Federal do Maranhão (HUUFMA) approved this study, under opinion number: 4,098,427 and CAAE 32206620.0.0000.5086, on June 19, 2020.
RESULTS
In 2020, SIVEP-Gripe had 1,200,044 SARS cases recorded in Brazil, 712,299 of which were due to COVID-19. Among them, 793 were in the age group from 0 to 28 days. In 2021, this number reached 1,721,489 SARS cases, of which 1,189,433 were due to COVID-19; 856 in the age group from 0 to 28 days, totaling 1,649 COVID-19 SARS cases in NBs in two years.
In 2020, 51.3% were female; in 2021, 53.2% were male. We found a predominance of multiracial babies (64.0% in 2020 and 55.5% in 2021), followed by White NBs (30.3% in 2020 and 19.4% in 2021). The most frequent symptoms in 2020 and 2021 were, respectively: respiratory distress (67.0 and 69.7%), fever (46.3 and 46.2%), and cough (37.0 and 46.3%) (Table 1).
Absolute and relative frequency of signs and symptoms, risk factors/comorbidities, intensive care unit admission, ventilatory support, and proportion of hospital deaths in newborns with COVID-19 severe acute respiratory syndrome, Brazil, 2020–2021.
In 2020 and 2021, the proportion of ICU admissions, use of invasive ventilatory support, and hospital deaths was, respectively, 55.6 and 55.9%; 21.1 and 22.8%; 16.8 and 16.4% (Table 1). Heart disease was the most frequent comorbidity in both years; prematurity was reported in 1.2% of cases in 2020 and 5.6% in 2021 (Table 1). Of the cases that progressed to death, more than 70% required ICU admission, and more than 50% needed invasive ventilatory support (Table 2).
Absolute and relative frequency of intensive care unit admission, use of ventilatory support, prematurity, and heart diseases in newborns who progressed to death from COVID-19 severe acute respiratory syndrome, Brazil, 2020–2021.
DISCUSSION
SIVEP-Gripe had 1,649 COVID-19 SARS cases recorded in Brazilian NBs in 2020 and 2021. To date, the national and international literature has no analyses for the neonatal age group55 Gale C, Quigley MA, Placzek A, Knight M, Ladhani S, Draper ES, et al. Characteristics and outcomes of neonatal SARS-CoV-2 infection in the UK: a prospective national cohort study using active surveillance. Lancet Child Adolesc Health 2021; 5(2): 113-21. https://doi.org/10.1016/S2352-4642(20)30342-4
https://doi.org/10.1016/S2352-4642(20)30... –77 Procianoy RS, Silveira RC, Manzoni P, Sant’Anna G. Neonatal COVID-19: little evidence and the need for more information. J Pediatr (Rio J) 2020; 96(3): 269-72. https://doi.org/10.1016/j.jped.2020.04.002
https://doi.org/10.1016/j.jped.2020.04.0... with numbers as significant as those presented in this study.
We found a predominance of multiracial babies, with a frequency greater than their proportion in the Brazilian population. In the United Kingdom, a study showed that neonates belonging to ethnic groups, including Black and multiracial NBs, accounted for half of the cases55 Gale C, Quigley MA, Placzek A, Knight M, Ladhani S, Draper ES, et al. Characteristics and outcomes of neonatal SARS-CoV-2 infection in the UK: a prospective national cohort study using active surveillance. Lancet Child Adolesc Health 2021; 5(2): 113-21. https://doi.org/10.1016/S2352-4642(20)30342-4
https://doi.org/10.1016/S2352-4642(20)30... . In England, children who were Black, multiracial, or belonged to other races presented a higher risk of hospitalization and longer length of stay compared to White children88 Saatci D, Ranger TA, Garriga C, Clift AK, Zaccardi F, Tan PS, et al. Association between race and COVID-19 outcomes among 2.6 million children in England. JAMA Pediatr 2021; 175(9): 928-38. https://doi.org/10.1001/jamapediatrics.2021.1685
https://doi.org/10.1001/jamapediatrics.2... .
Among the neonates’ symptoms analyzed in this study, the most prevalent ones were respiratory distress/dyspnea, fever, and cough. In a United Kingdom study of 66 neonates, the most common symptoms were fever, refusal to eat/lack of appetite, and vomiting, compared to older children and adults55 Gale C, Quigley MA, Placzek A, Knight M, Ladhani S, Draper ES, et al. Characteristics and outcomes of neonatal SARS-CoV-2 infection in the UK: a prospective national cohort study using active surveillance. Lancet Child Adolesc Health 2021; 5(2): 113-21. https://doi.org/10.1016/S2352-4642(20)30342-4
https://doi.org/10.1016/S2352-4642(20)30... . In a European study, fever, upper and lower respiratory tract symptoms, and gastrointestinal symptoms were more frequent among children and adolescents aged 0 to 18 years, in that order99 Götzinger F, Santiago-García B, Noguera-Julián A, Lanaspa M, Lancella L, Carducci FIC, et al. COVID-19 in children and adolescents in Europe: a multinational, multicentre cohort study. Lancet Child Adolesc Health 2020; 4(9): 653-61. https://doi.org/10.1016/S2352-4642(20)30177-2
https://doi.org/10.1016/S2352-4642(20)30... .
Compared to adults, children generally have less severe clinical manifestations. A study of 60,109 patients in different age groups hospitalized for COVID-19 in 43 countries showed that symptoms such as fever, cough, and dyspnea are less prevalent in children under 18 years than in other age ranges1010 ISARIC Clinical Characterisation Group. COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study. Infection 2021; 49(5): 889-905. https://doi.org/10.1007/s15010-021-01599-5
https://doi.org/10.1007/s15010-021-01599... .
The proportion of ICU admission and hospital deaths revealed that neonates present severe forms of COVID-19. The immaturity of the innate and adaptive immune system in NBs could justify the greater severity of the disease in this age group, as the nature of the immune response at the beginning of life influences the susceptibility to immune-mediated diseases such as COVID-191111 Torow N, Marsland BJ, Hornef MW, Gollwitzer ES. Neonatal mucosal immunology. Mucosal Immunol 2017; 10(1): 5-17. https://doi.org/10.1038/mi.2016.81
https://doi.org/10.1038/mi.2016.81... . Furthermore, international studies show that the age group under one year can be a risk factor for disease severity and consequent mortality among children1212 Dong Y, Mo XI, Hu Y, Qi X, Jiang F, Jiang Z, et al. Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China. Journal Emergency Medicine 2020; 58(4): 712-13. https://doi.org/10.1016/j.jemermed.2020.04.006
https://doi.org/10.1016/j.jemermed.2020.... ,1313 Garazzino S, Lo Vecchio A, Pierantoni L, Carducci FIC, Marchetti F, Meini A et al. Epidemiology, clinical features and prognostic factors of pediatric SARS-CoV-2 infection: results from an Italian multicenter study. Front Pediatr 2021; 9: 649358. https://doi.org/10.3389/fped.2021.649358
https://doi.org/10.3389/fped.2021.649358... . A Chinese study with more than 2,135 COVID-19 cases in children and adolescents up to 19 years showed that children under one year had a higher proportion of severe disease (10.6%) compared to other age groups1212 Dong Y, Mo XI, Hu Y, Qi X, Jiang F, Jiang Z, et al. Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China. Journal Emergency Medicine 2020; 58(4): 712-13. https://doi.org/10.1016/j.jemermed.2020.04.006
https://doi.org/10.1016/j.jemermed.2020.... .
This research identified higher proportions of ICU admission, use of invasive ventilation, and hospital mortality than studies conducted in other countries. In the United Kingdom, 42% of the 66 neonates analyzed had a severe infection, 36% received intensive care or ventilatory support, and none died55 Gale C, Quigley MA, Placzek A, Knight M, Ladhani S, Draper ES, et al. Characteristics and outcomes of neonatal SARS-CoV-2 infection in the UK: a prospective national cohort study using active surveillance. Lancet Child Adolesc Health 2021; 5(2): 113-21. https://doi.org/10.1016/S2352-4642(20)30342-4
https://doi.org/10.1016/S2352-4642(20)30... . Compared to other age groups, these proportions are even higher. In China, 6% of children and adolescents up to 18 years had severe disease1212 Dong Y, Mo XI, Hu Y, Qi X, Jiang F, Jiang Z, et al. Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China. Journal Emergency Medicine 2020; 58(4): 712-13. https://doi.org/10.1016/j.jemermed.2020.04.006
https://doi.org/10.1016/j.jemermed.2020.... ; in Europe, 8% required intensive care, and 4% needed mechanical ventilation99 Götzinger F, Santiago-García B, Noguera-Julián A, Lanaspa M, Lancella L, Carducci FIC, et al. COVID-19 in children and adolescents in Europe: a multinational, multicentre cohort study. Lancet Child Adolesc Health 2020; 4(9): 653-61. https://doi.org/10.1016/S2352-4642(20)30177-2
https://doi.org/10.1016/S2352-4642(20)30... . In the USA, for example, from March 2020 to June 2021, the ICU admission rate of COVID-19 in the age group from 0 to 17 years was 26.5%, 6.1% required invasive ventilation, and 0.7% progressed to death1414 Delahoy MJ, Ujamaa D, Whitaker M, O’Halloran A, Anglin O, Burns E, et al. Hospitalizations associated with COVID-19 among children and adolescents – COVID-NET, 14 states, March 1, 2020 – August 14, 2021. MMWR Morb Mortal Wkly Rep 2021; 70(36): 1255-60. https://doi.org/10.15585/mmwr.mm7036e2
https://doi.org/10.15585/mmwr.mm7036e2... .
Not all patients who died were admitted to the ICU, probably due to a lack of available beds. Countries such as Brazil report higher pediatric COVID-19 mortality than high-income countries, possibly due to their inability to provide the necessary care for the most severe patients1515 Kitano T, Kitano M, Krueger C, Jamal H, Al Rawahi H, Lee-Krueger R, et al. The differential impact of pediatric COVID-19 between high-income countries and low- and middle-income countries: a systematic review of fatality and ICU admission in children worldwide. PLoS One 2021; 16(1): e0246326. https://doi.org/10.1371/journal.pone.0246326
https://doi.org/10.1371/journal.pone.024... . In Brazil, the significant racial, geographic, and socioeconomic disparities are factors admittedly associated with the quality of health care, and the recent experience with the SARS-CoV-2 coronavirus showed that the response capacity of the health service network decisively affects the case fatality rate of the disease, especially with respect to early case detection and the availability and access to critical care1616 Gurzenda S, Castro MC. COVID-19 poses aing pregnancy and postpartum mortality risk in Brazil. EClinicalMedicine 2021; 36: 100917. https://doi.org/10.1016/j.eclinm.2021.100917
https://doi.org/10.1016/j.eclinm.2021.10... .
In the country, the difficult access to health services and ICU beds can influence the severity of COVID-19 in this age group due to the greater need for hospitalizations and intensive care1717 Oliveira EA, Colosimo EA, Silva ACS, Mak RH, Martelli DB, Silva LR, et al. Clinical characteristics and risk factors for death among hospitalised children and adolescents with COVID-19 in Brazil: an analysis of a nationwide database. Lancet Child Adolesc Health 2021; 5(8): 559-68. https://doi.org/10.1016/S2352-4642(21)00134-6
https://doi.org/10.1016/S2352-4642(21)00... , especially in the North and Northeast regions, which have the worst socioeconomic conditions and health indicators and the lowest proportions of pediatric ICU beds33 Santos VS, Siqueira TS, Atienzar AIC, Santos MARR, Vieira SCF, Lopes ASA, et al. Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: a nationwide population-based ecological study. Lancet Reg Health Am 2022; 13: 100311. https://doi.org/10.1016/j.lana.2022.100311
https://doi.org/10.1016/j.lana.2022.1003... . In this context, besides the deleterious effects of the disease, the worsening of the condition should be considered a consequence of the deficient care provided.
The most common risk factors/comorbidities were heart diseases and immunodeficiencies. Children with comorbidities are more likely to develop more severe forms of COVID-19 and have higher proportions of hospitalization1818 Kompaniyets L, Agathis NT, Nelson JM, Preston LE, Ko JY, Belay B, et al. Underlying medical conditions associated with severe COVID-19 illness among children. JAMA Netwk Open 2021; 4(6): e2111182. https://doi.org/10.1001/jamanetworkopen.2021.11182
https://doi.org/10.1001/jamanetworkopen.... . Comorbidities/pre-existing medical conditions are associated with the development of more severe forms of the disease, especially chronic lung diseases99 Götzinger F, Santiago-García B, Noguera-Julián A, Lanaspa M, Lancella L, Carducci FIC, et al. COVID-19 in children and adolescents in Europe: a multinational, multicentre cohort study. Lancet Child Adolesc Health 2020; 4(9): 653-61. https://doi.org/10.1016/S2352-4642(20)30177-2
https://doi.org/10.1016/S2352-4642(20)30... .
Prematurity represents another risk factor for more severe forms of COVID-19 and worse respiratory outcomes, particularly in children under 2 years1818 Kompaniyets L, Agathis NT, Nelson JM, Preston LE, Ko JY, Belay B, et al. Underlying medical conditions associated with severe COVID-19 illness among children. JAMA Netwk Open 2021; 4(6): e2111182. https://doi.org/10.1001/jamanetworkopen.2021.11182
https://doi.org/10.1001/jamanetworkopen.... . Premature neonates have proportionally higher rates of SARS-CoV-2 infection22 Ryan L, Plötz FB, van den Hoogen A, Latour JM, Degtyareva M, Keuning M, et al. Neonates and COVID-19: state of the art: neonatal sepsis series. Pediatr Res 2022; 91(2): 432-39. https://doi.org/10.1038/s41390-021-01875-y
https://doi.org/10.1038/s41390-021-01875... . However, in this study, prematurity was reported in only 14 RNs with COVID-19 SARS. Possibly because the “Individual Report Form for Hospitalized SARS Cases” has no specific field for prematurity. When present, it needs to be entered into the “Other” field.
The study limitations include the loss of information in some variables and failure to fill the race/skin color, risk factors, and case progress fields. In addition, this study has a descriptive and cross-sectional design, making it impossible to analyze the causal association between exposure and clinical outcomes. The strength of this work is the expressive number of COVID-19 SARS cases in NBs over 21 months across the country.
This study contributed to the literature by describing the clinical characteristics of COVID-19 SARS cases in Brazilian NBs. We suggest the performance of studies aimed at the COVID-19 scenario for NBs, especially regarding severe cases and unfavorable outcomes with deaths. We expect this study to add to the reflection on the importance of appropriate actions to prevent COVID-19 mortality in NBs.
Considering its possible underreporting, we recommend the inclusion of a specific field for prematurity as a risk factor in the “Individual Report Form for Hospitalized SARS Cases”. The need for a more even distribution of neonatal ICU beds in the country becomes evident, as they are concentrated in certain municipalities, hindering the access of NBs with severe cases to proper treatment33 Santos VS, Siqueira TS, Atienzar AIC, Santos MARR, Vieira SCF, Lopes ASA, et al. Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: a nationwide population-based ecological study. Lancet Reg Health Am 2022; 13: 100311. https://doi.org/10.1016/j.lana.2022.100311
https://doi.org/10.1016/j.lana.2022.1003... .
- FUNDING: Funded by Call for Proposals MCTIC/CNPq/FNDCT/MS/SCTIE/Decit no. 07/2020 – Research for the combat of COVID-19, its consequences, and other severe acute respiratory syndromes. Granting Term: 401734/2020-0. Funded by the FAPEMA Public Notice No. 06/2020 – Promotion of research for the combat of the COVID-19 pandemic and post-pandemic. Grant Term: 003299/2020.
ACKNOWLEDGEMENTS:
We thank FAPEMA (Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão /Maranhão Scientific and Technological Research and Development Support Foundation) for the article publishing support program. We also thank CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior/Coordination for the Improvement of Higher Education Personnel) [Finance Code no.: 001]
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» https://doi.org/10.1016/j.jped.2020.04.002 - 8Saatci D, Ranger TA, Garriga C, Clift AK, Zaccardi F, Tan PS, et al. Association between race and COVID-19 outcomes among 2.6 million children in England. JAMA Pediatr 2021; 175(9): 928-38. https://doi.org/10.1001/jamapediatrics.2021.1685
» https://doi.org/10.1001/jamapediatrics.2021.1685 - 9Götzinger F, Santiago-García B, Noguera-Julián A, Lanaspa M, Lancella L, Carducci FIC, et al. COVID-19 in children and adolescents in Europe: a multinational, multicentre cohort study. Lancet Child Adolesc Health 2020; 4(9): 653-61. https://doi.org/10.1016/S2352-4642(20)30177-2
» https://doi.org/10.1016/S2352-4642(20)30177-2 - 10ISARIC Clinical Characterisation Group. COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study. Infection 2021; 49(5): 889-905. https://doi.org/10.1007/s15010-021-01599-5
» https://doi.org/10.1007/s15010-021-01599-5 - 11Torow N, Marsland BJ, Hornef MW, Gollwitzer ES. Neonatal mucosal immunology. Mucosal Immunol 2017; 10(1): 5-17. https://doi.org/10.1038/mi.2016.81
» https://doi.org/10.1038/mi.2016.81 - 12Dong Y, Mo XI, Hu Y, Qi X, Jiang F, Jiang Z, et al. Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China. Journal Emergency Medicine 2020; 58(4): 712-13. https://doi.org/10.1016/j.jemermed.2020.04.006
» https://doi.org/10.1016/j.jemermed.2020.04.006 - 13Garazzino S, Lo Vecchio A, Pierantoni L, Carducci FIC, Marchetti F, Meini A et al. Epidemiology, clinical features and prognostic factors of pediatric SARS-CoV-2 infection: results from an Italian multicenter study. Front Pediatr 2021; 9: 649358. https://doi.org/10.3389/fped.2021.649358
» https://doi.org/10.3389/fped.2021.649358 - 14Delahoy MJ, Ujamaa D, Whitaker M, O’Halloran A, Anglin O, Burns E, et al. Hospitalizations associated with COVID-19 among children and adolescents – COVID-NET, 14 states, March 1, 2020 – August 14, 2021. MMWR Morb Mortal Wkly Rep 2021; 70(36): 1255-60. https://doi.org/10.15585/mmwr.mm7036e2
» https://doi.org/10.15585/mmwr.mm7036e2 - 15Kitano T, Kitano M, Krueger C, Jamal H, Al Rawahi H, Lee-Krueger R, et al. The differential impact of pediatric COVID-19 between high-income countries and low- and middle-income countries: a systematic review of fatality and ICU admission in children worldwide. PLoS One 2021; 16(1): e0246326. https://doi.org/10.1371/journal.pone.0246326
» https://doi.org/10.1371/journal.pone.0246326 - 16Gurzenda S, Castro MC. COVID-19 poses aing pregnancy and postpartum mortality risk in Brazil. EClinicalMedicine 2021; 36: 100917. https://doi.org/10.1016/j.eclinm.2021.100917
» https://doi.org/10.1016/j.eclinm.2021.100917 - 17Oliveira EA, Colosimo EA, Silva ACS, Mak RH, Martelli DB, Silva LR, et al. Clinical characteristics and risk factors for death among hospitalised children and adolescents with COVID-19 in Brazil: an analysis of a nationwide database. Lancet Child Adolesc Health 2021; 5(8): 559-68. https://doi.org/10.1016/S2352-4642(21)00134-6
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Publication Dates
- Publication in this collection
20 Feb 2023 - Date of issue
2023
History
- Received
22 Aug 2022 - Reviewed
11 Nov 2022 - Accepted
23 Nov 2022