COVID-19 in children is generally of short duration, but some may take longer to recover. This study investigated the time to symptom resolution following SARS-CoV-2 infection among children in a community setting on the outskirts of an urban centre in Brazil.

Prospective cohort study.

This is a community-based cohort of children living in Manguinhos, a favela in Rio de Janeiro. The cohort was followed through home visits and telephone monitoring of symptoms. The analysis focused on symptomatic children from this cohort with confirmed SARS-CoV-2 infection. Recovery time was defined as the interval between the first date with symptoms and the first date without symptoms following a positive SARS-CoV-2 test.

A total of 1276 children (boys and girls aged 2–

COVID-19 recovery time, assessed based on change points on the symptom persistence probability curve (Kaplan-Meier).

Among children who tested positive, 148 (60%) were symptomatic. The median recovery time was 11 days (IQR: 7–16). Two inflection points were identified on the Kaplan-Meier curve: days 16 and 34. Children who were ill during the Omicron wave took longer to recover. More boys became asymptomatic within the first 15 days; about 93% of girls recovered by day 33, and boys were more common among those who recovered in ≥34 days. Children aged 6–

Among children from a vulnerable area in Rio de Janeiro, recovery time was longer than that reported in other countries, with 9.5% of children experiencing persistent symptoms for more than 33 days. These findings are crucial for understanding the implications of COVID-19 in specific socioeconomic contexts and the dynamics of paediatric recovery in community settings.

Poor menstrual health and unmet menstrual needs influence several aspects of adolescent girls’ lives, including their educational outcomes. However, evidence on menstrual health needs and educational outcomes among these vulnerable girls living in countries across sub-Saharan Africa (SSA) is fragmented and inconclusive. The systematic review aims to explore the association between menstrual health needs and educational outcomes among adolescent girls (10–19 years) living in SSA.

Studies (published and unpublished) will be identified from relevant electronic databases including PubMed, CINAHL, ScienceDirect, Google Scholar and LILACS without language restriction from January 2012 to December 2024. A comprehensive set of search terms and their alternate terms, together with the names of countries in sub-Saharan Africa, will be used for running the searches. We will also search Scopus, Web of Science, African Index Medicus, HINARI, African Journals Online, Academic Search Premier, MedRXIV, ProQuest, EBSCO Open Dissertations and reference lists of relevant studies. We will contact experts, identified through authorship of key publications in menstrual health research and recommendations from established research networks, for potentially relevant unpublished studies. All retrieved articles from the electronic databases and grey literature will be collated and deduplicated using Endnote and exported to Rayyan QCRI. The pre-defined eligibility criteria will be followed to screen papers for inclusion in the review. The flow of studies will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram. Given the anticipated volume of literature to be reviewed, at least two reviewers will independently select studies, extract data and assess the quality of the included studies for risk of bias using the Robbins-E risk of bias assessment tool. Any disagreements will be resolved through discussion between the reviewers. The Joanna Briggs Institute’s Sumari Software will be used for citation management. Binary outcomes will be estimated using pooled proportions (for non-comparative studies) and odds ratio (OR) or risk ratio (RR) (for comparative studies), reported with their 95% CIs. The mean difference (MD) will be used for reporting continuous outcomes with their 95% CIs. In the case where different instruments have been used to report means, we will employ standardised mean difference (SMD). Heterogeneity will be assessed graphically for overlapping CIs and statistically using the I² statistic, and if heterogeneity is detected to be high (>50%), subgroup analysis will be performed to assess the impact of such variation.

While ethical approval is not required for the systematic review methodology itself, appropriate data sharing agreements and confidentiality protocols will be followed when collecting unpublished data from experts. The findings from this review will be published in a peer-reviewed journal and presented at relevant conferences. Also, the findings will be communicated to local stakeholders (eg, adolescent girls, parents/guardians, school authorities) in appropriate formats and languages to support translation into policy and practice to improve menstrual health and hygiene and education for adolescent girls in sub-Saharan Africa.

CRD42024565296.