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1.
Lancet Child Adolesc Health ; 6(8): 555-570, 2022 08.
Article in English | MEDLINE | ID: covidwho-1946992

ABSTRACT

BACKGROUND: Respiratory viruses are increasingly detected in children with community-acquired pneumonia but prevalence estimates vary substantially. We aimed to systematically review and pool estimates for 22 viruses commonly associated with community-acquired pneumonia. METHODS: We conducted a systematic review and meta-analysis to determine the prevalence of each of the common respiratory viruses detected by any diagnostic method in children aged up to 18 years with community-acquired pneumonia. We searched MEDLINE, PubMed, Embase, Web of Science, and Scopus databases with no language restrictions for relevant published articles and reports published between Jan 1, 1995, and Dec 31, 2019, restricting the review to pre-COVID-19 pandemic years. Three independent reviewers screened articles and extracted data using a predefined protocol. We calculated the pooled prevalence for each virus in childhood pneumonia using DerSimonian-Laird random-effects models. We assessed bias using the Newcastle-Ottawa Scale. The review protocol was registered in PROSPERO (CRD42016034047). FINDINGS: We identified 186 eligible articles that represented 152 209 children up to age 18 years with community-acquired pneumonia. One or more respiratory viruses were detected in 55·0% (95% CI 50·4-59·7) of paediatric patients with a diagnosis of community-acquired pneumonia; heterogeneity was high (I2=99·4%). Respiratory syncytial virus (22·7%, 20·9-24·5) and rhinovirus (22·1%, 19·5-24·7) were the most commonly detected causes of paediatric pneumonia globally, with other viruses detected in 1-9% of cases. There was non-significant variation in prevalence by the country's national income, under-5 mortality rate, or WHO region. INTERPRETATION: Respiratory viruses are frequently detected in community-acquired pneumonia among children of all ages and geographical regions, with non-significant variation by country's national income or region. Further strategies to limit antibiotic use in children with viral pneumonia and develop treatment and prevention approaches targeting common respiratory viruses are expected to have a substantial effect on the residual burden of childhood pneumonia. FUNDING: None.


Subject(s)
COVID-19 , Community-Acquired Infections , Pneumonia, Viral , Viruses , Child , Community-Acquired Infections/diagnosis , Community-Acquired Infections/epidemiology , Community-Acquired Infections/etiology , Humans , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/epidemiology , Prevalence
2.
JMIR Form Res ; 6(1): e29889, 2022 Jan 17.
Article in English | MEDLINE | ID: covidwho-1662505

ABSTRACT

BACKGROUND: Acute respiratory infection (ARI) in childhood is common, but more knowledge on the burden and natural history of ARI in the community is required. A better understanding of ARI risk factors, treatment, and outcomes will help support parents to manage their sick child at home. Digital health tools are becoming more widely adopted in clinical care and research and may assist in understanding and managing common pediatric diseases, including ARI, in hospitals and in the community. We integrated 2 digital tools-a web-based discharge communication system and the REDCap (Research Electronic Data Capture) platform-into the Pragmatic Adaptive Trial for Acute Respiratory Infection in Children to enhance parent and physician engagement around ARI discharge communication and our patient registry. OBJECTIVE: The objective of this study is to determine the efficacy and usability of digital tools integrated into a pediatric patient registry for ARI. METHODS: Semistructured interviews and software interface usability testing were conducted with 11 parents and 8 emergency department physicians working at a tertiary pediatric hospital and research center in Perth, Western Australia, in 2019. Questions focused on experiences of discharge communication and clinical trial engagement. Responses were analyzed using the qualitative Framework Method. Participants were directly observed using digital interfaces as they attempted predetermined tasks that were then classified as success, failure, software failure, or not observed. Participants rated the interfaces using the System Usability Scale (SUS). RESULTS: Most parents (9/11, 82%) indicated that they usually received verbal discharge advice, with some (5/11, 45%) recalling receiving preprinted resources from their physician. Most (8/11, 73%) would also like to receive discharge advice electronically. Most of the physicians (7/8, 88%) described their usual practice as verbal discharge instructions, with some (3/8, 38%) reporting time pressures associated with providing discharge instructions. The digital technology option was preferred for engaging in research by most parents (8/11, 73%). For the discharge communication digital tool, parents gave a mean SUS score of 94/100 (SD 4.3; A grade) for the mobile interface and physicians gave a mean usability score of 93/100 (SD 4.7; A grade) for the desktop interface. For the research data management tool (REDCap), parents gave a mean usability score of 78/100 (SD 11.0; C grade) for the mobile interface. CONCLUSIONS: Semistructured interviews allowed us to better understand parent and physician experiences of discharge communication and clinical research engagement. Software interface usability testing methods and use of the SUS helped us gauge the efficacy of our digital tools with both parent and physician users. This study demonstrates the feasibility of combining qualitative research methods with software industry interface usability testing methods to help determine the efficacy of digital tools in a pediatric clinical research setting.

3.
Vaccine ; 39(4): 667-677, 2021 01 22.
Article in English | MEDLINE | ID: covidwho-1023764

ABSTRACT

INTRODUCTION: Emerging evidence suggests young children are at greater risk of COVID-19 infection than initially predicted. However, a comprehensive understanding of epidemiology of COVID-19 infection in young children under five years, the most at-risk age-group for respiratory infections, remain unclear. We conducted a systematic review and meta-analysis of epidemiological and clinical characteristics of COVID-19 infection in children under five years. METHOD: Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses , we searched several electronic databases (Pubmed, EMBASE, Web of Science, and Scopus) with no language restriction for published epidemiological studies and case-reports reporting laboratory-confirmed COVID-19 infection in children under five years until June 4, 2020. We assessed pooled prevalence for key demographics and clinical characteristics using Freeman-Tukey double arcsine random-effects model for studies except case-reports. We evaluated risk of bias separately for case-reports and other studies. RESULTS: We identified 1,964 articles, of which, 65 articles were eligible for systematic review that represented 1,214 children younger than five years with laboratory-confirmed COVID-19 infection. The pooled estimates showed that 50% young COVID-19 cases were infants (95% CI: 36% - 63%, 27 studies); 53% were male (95% CI: 41% - 65%, 24 studies); 43% were asymptomatic (95% CI: 15% - 73%, 9 studies) and 7% (95% CI: 0% - 30%, 5 studies) had severe disease that required intensive-care-unit admission. Of 139 newborns from COVID-19 infected mothers, five (3.6%) were COVID-19 positive. There was only one death recorded. DISCUSSION: This systematic review reports the largest number of children younger than five years with COVID-19 infection till date. Our meta-analysis shows nearly half of young COVID-19 cases were asymptomatic and half were infants, highlighting the need for ongoing surveillance to better understand the epidemiology, clinical pattern, and transmission of COVID-19 to develop effective preventive strategies against COVID-19 disease in young paediatric population.


Subject(s)
COVID-19/epidemiology , COVID-19/transmission , Infectious Disease Transmission, Vertical/statistics & numerical data , SARS-CoV-2/pathogenicity , Adult , Asymptomatic Diseases , COVID-19/pathology , COVID-19/virology , Child, Preschool , Epidemiological Monitoring , Female , Humans , Incidence , Infant , Infant, Newborn , Intensive Care Units , Male , Mothers , Publication Bias/statistics & numerical data , Severity of Illness Index
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