{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:17:55Z","timestamp":1780589875819,"version":"3.54.1"},"reference-count":60,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T00:00:00Z","timestamp":1762646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Health of Ukraine through the state budget under the project titled \u201cAssessment of the quality of life and psychological state of children with Long COVID-19 during wartime,\u201d","award":["0123U100301"],"award-info":[{"award-number":["0123U100301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Background\/Objectives: Machine learning is an extremely important issue, considering the potential to prevent the onset of long-term complications from coronavirus disease or to ensure timely detection and effective treatment. The aim of our study was to develop an algorithm and mathematical model to predict the risk of developing long COVID in children who have had acute SARS-CoV-2 viral infection, taking into account a wide range of demographic, clinical, and laboratory parameters. Methods: We conducted a cross-sectional study involving 305 pediatric patients aged from 1 month to 18 years who had recovered from acute SARS-CoV-2 infection. To perform a detailed analysis of the factors influencing the development of long-term consequences of coronavirus disease in children, two models were created. The first model included basic demographic and clinical characteristics of the acute SARS-CoV-2 infection, as well as serum levels of vitamin D and zinc for all patients from both groups. The second model, in addition to the aforementioned parameters, also incorporated laboratory test results and included only hospitalized patients. Results: Among 265 children, 138 patients (52.0%) developed long COVID, and the remaining 127 (48.0%) fully recovered. We included 36 risk factors of developing long COVID in children (DLCC) in model 1, including non-hospitalized patients, and 58 predictors in model 2, excluding them. These included demographic characteristics of the children, major comorbid conditions, main symptoms and course of acute SARS-CoV-2 infection, and main parameters of complete blood count and coagulation profile. In the first model, which accounted for non-hospitalized patients, multivariate regression analysis identified obesity, a history of allergic disorders, and serum vitamin D deficiency as significant predictors of long COVID development. In the second model, limited to hospitalized patients, significant risk factors for long-term sequelae of acute SARS-CoV-2 infection included fever and the presence of \u22653 symptoms during the acute phase, a history of allergic conditions, thrombocytosis, neutrophilia, and altered prothrombin time, as determined by multivariate regression analysis. To assess the acceptability of the model as a whole, an ANOVA analysis was performed. Based on this method, it can be concluded that the model for predicting the risk of developing long COVID in children is highly acceptable, since the significance level is p &lt; 0.001, and the model itself will perform better than a simple prediction using average values. Conclusions: The results of multivariate regression analysis demonstrated that the presence of a burdened comorbid background\u2014specifically obesity and allergic pathology\u2014fever during the acute phase of the disease or the presence of three or more symptoms, as well as laboratory abnormalities including thrombocytosis, neutrophilia, alterations in prothrombin time (either shortened or prolonged), and reduced serum vitamin D levels, are predictors of long COVID development among pediatric patients.<\/jats:p>","DOI":"10.3390\/ijerph22111693","type":"journal-article","created":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T10:35:31Z","timestamp":1762770931000},"page":"1693","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Predictive Model for the Development of Long COVID in Children"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8321-1078","authenticated-orcid":false,"given":"Vita","family":"Perestiuk","sequence":"first","affiliation":[{"name":"Department of Children\u2019s Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8644-0776","authenticated-orcid":false,"given":"Andriy","family":"Sverstyuk","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tetyana","family":"Kosovska","sequence":"additional","affiliation":[{"name":"Department of Children\u2019s Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5447-8059","authenticated-orcid":false,"given":"Liubov","family":"Volianska","sequence":"additional","affiliation":[{"name":"Department of Children\u2019s Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oksana","family":"Boyarchuk","sequence":"additional","affiliation":[{"name":"Department of Children\u2019s Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Davis, H.E., McCorkell, L., Vogel, J.M., and Topol, E.J. (2023). Long COVID: Major findings, mechanisms and recommendations. Nat. Rev. Microbiol., 21.","DOI":"10.1038\/s41579-022-00846-2"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"377","DOI":"10.3345\/cep.2022.00458","article-title":"Therapeutics for the treatment of coronavirus disease 2019 in children and adolescents","volume":"65","author":"Choi","year":"2022","journal-title":"Clin. Exp. Pediatr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2263","DOI":"10.1016\/S0140-6736(22)00941-2","article-title":"Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2","volume":"18","author":"Antonelli","year":"2022","journal-title":"Lancet"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1002\/path.6443","article-title":"Post-COVID-19 condition: Clinical phenotypes, pathophysiological mechanisms, pathology, and management strategies","volume":"266","author":"Tang","year":"2025","journal-title":"J. Pathol."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Buonsenso, D., Munblit, D., Pazukhina, E., Ricchiuto, A., Sinatti, D., Zona, M., De Matteis, A., D\u2019Ilario, F., Gentili, C., and Lanni, R. (2022). Post-COVID condition in adults and children living in the same household in Italy: A prospective cohort study using the ISARIC Global Follow-Up Protocol. Front. Pediatr., 10.","DOI":"10.3389\/fped.2022.834875"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1126\/science.ade4427","article-title":"Long Covid clues emerge from patient\u2019 blood","volume":"377","year":"2022","journal-title":"Science"},{"key":"ref_7","first-page":"151289","article-title":"Assessment of the quality of life in children with long COVID based on the Standardized PEDSQL 4.0 questionnaire","volume":"19","author":"Boyarchuk","year":"2025","journal-title":"Health Prob. Civil."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1706","DOI":"10.1038\/s41591-022-01909-w","article-title":"Symptoms and risk factors for long COVID in non-hospitalized adults","volume":"28","author":"Subramanian","year":"2022","journal-title":"Nat. Med."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Perestiuk, V., Kosovska, T., Volianska, L., and Boyarchuk, O. (2025). Prevalence and duration of clinical symptoms of pediatric long COVID: Findings from a one-year prospective study. Front. Pediatr., 13.","DOI":"10.3389\/fped.2025.1645228"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"551","DOI":"10.2217\/fmb-2022-0031","article-title":"Long-term outcomes of pediatric infections: From traditional infectious diseases to long Covid","volume":"17","author":"Buonsenso","year":"2022","journal-title":"Futur. Microbiol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3995","DOI":"10.1007\/s00431-022-04600-x","article-title":"Prevalence and clinical presentation of long COVID in children: A systematic review","volume":"181","author":"Pellegrino","year":"2022","journal-title":"Eur. J. Pediatr."},{"key":"ref_12","first-page":"101","article-title":"Long COVID in children: Frequency and diagnostic challenges","volume":"3","author":"Volianska","year":"2023","journal-title":"Ukr. J. Perinatol. Pediatr."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"7892","DOI":"10.1038\/s41467-023-43661-w","article-title":"True prevalence of long-COVID in a nationwide, population cohort study","volume":"14","author":"Hastie","year":"2023","journal-title":"Nat. Commun."},{"key":"ref_14","unstructured":"World Health Organization (2023, July 11). Post COVID-19 Condition (Long COVID). Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/post-covid-19-condition-(long-covid)."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Latronico, N., Peli, E., Rodella, F., Novelli, M.P., Rasulo, F.A., and Piva, S. (Lancet, 2021). Three-month outcome in survivors of COVID-19 associated acute respiratory distress syndrome, Lancet, submitted.","DOI":"10.2139\/ssrn.3749226"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"The Lancet (2020). Facing up to long COVID. Lancet, 396, 1861.","DOI":"10.1016\/S0140-6736(20)32662-3"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"100186","DOI":"10.1016\/j.lanepe.2021.100186","article-title":"Long Covid in adults discharged from UK hospitals after COVID-19: A prospective, multicentre cohort study using the ISARIC WHO Clinical Characterisation Protocol","volume":"8","author":"Sigfrid","year":"2021","journal-title":"Lancet Reg. Health Eur."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"e24018","DOI":"10.2196\/24018","article-title":"Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation","volume":"22","author":"Vaid","year":"2020","journal-title":"J. Med. Internet Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1038\/s41591-021-01292-y","article-title":"Attributes and predictors of long COVID","volume":"27","author":"Sudre","year":"2021","journal-title":"Nat. Med."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Antony, B., Blau, H., Casiraghi, E., Loomba, J.J., Callahan, T.J., Laraway, B.J., Wilkins, K.J., Robinson, P.N., Reese, J.T., and Murali, T.M. (2023). Predictive models of long COVID. eBioMedicine, 96.","DOI":"10.1016\/j.ebiom.2023.104777"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e064155","DOI":"10.1136\/bmjopen-2022-064155","article-title":"Long COVID symptoms in Israeli children with and without a history of SARS-CoV-2 infection: A cross-sectional study","volume":"13","author":"Adler","year":"2023","journal-title":"BMJ Open"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s12519-021-00457-6","article-title":"Long COVID in children and adolescents","volume":"17","author":"Nemati","year":"2021","journal-title":"World J. Pediatr."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"e12","DOI":"10.1136\/archdischild-2022-325152","article-title":"Characteristics and predictors of persistent symptoms post-COVID-19 in children and young people: A large community cross-sectional study in England","volume":"108","author":"Atchison","year":"2023","journal-title":"Arch. Dis. Child."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"101961","DOI":"10.1016\/j.eclinm.2023.101961","article-title":"Risk factors for post-COVID-19 condition (Long Covid) in children: A prospective cohort study","volume":"59","author":"Morello","year":"2023","journal-title":"eClinicalMedicine"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2101341","DOI":"10.1183\/13993003.01341-2021","article-title":"Risk factors for post-COVID-19 condition in previously hospitalised children using the ISARIC Global follow-up protocol: A prospective cohort study","volume":"59","author":"Osmanov","year":"2022","journal-title":"Eur. Respir. J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1186\/s13052-022-01282-x","article-title":"Long COVID-19 in children: An Italian cohort study","volume":"48","author":"Trapani","year":"2022","journal-title":"Ital. J. Pediatr."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"World Health Organization (2020, May 27). Clinical Management of COVID-19: Interim Guidance. Available online: https:\/\/iris.who.int\/handle\/10665\/332196.","DOI":"10.15557\/PiMR.2020.0004"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Pludowski, P. (2023). COVID-19 and Other Pleiotropic Actions of Vitamin D: Proceedings from the Fifth International Conference \u201cVitamin D\u2014Minimum, Maximum, Optimum\u201d under the Auspices of the European Vitamin D Association (EVIDAS). Nutrients, 15.","DOI":"10.3390\/books978-3-0365-6935-2"},{"key":"ref_29","unstructured":"Jameson, J., Fauci, A.S., Kasper, D.L., Hauser, S.L., Longo, D.L., and Loscalzo, J. (2018). Vitamin and Trace Mineral Deficiency and Excess. Harrison\u2019s Principles of Internal Medicine, McGraw-Hill Education. [20th ed.]. Available online: https:\/\/accessmedicine.mhmedical.com\/content.aspx?bookid=2129&sectionid=192283003."},{"key":"ref_30","unstructured":"World Health Organization (2022, December 31). A Clinical Case Definition of Post COVID-19 Condition by a Delphi Consensus. Available online: https:\/\/www.who.int\/publications\/i\/item\/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Boyarchuk, O., Perestiuk, V., Kosovska, T., and Volianska, L. (2024). Coagulation profile in hospitalized children with COVID-19: Pediatric age dependency and its impact on long COVID development. Front. Immunol., 15.","DOI":"10.3389\/fimmu.2024.1363410"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1002\/ppul.26910","article-title":"Incidence and risk factors for long COVID in children with COVID-19 pneumonia","volume":"59","author":"Wongwathanavikrom","year":"2024","journal-title":"Pediatr. Pulmonol."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Tsilingiris, D., Vallianou, N.G., Karampela, I., Christodoulatos, G.S., Papavasileiou, G., Petropoulou, D., Magkos, F., and Dalamaga, M. (2023). Laboratory Findings and Biomarkers in Long COVID: What Do We Know So Far? Insights into Epidemiology, Pathogenesis, Therapeutic Perspectives and Challenges. Int. J. Mol. Sci., 24.","DOI":"10.20944\/preprints202305.1487.v1"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Jin, W., Hao, W., Shi, X., Fritsche, L.G., Salvatore, M., Admon, A.J., Friese, C.R., and Mukherjee, B. (2023). Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. J. Clin. Med., 12.","DOI":"10.3390\/jcm12237313"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e2022057798","DOI":"10.1542\/peds.2022-057798","article-title":"Health Impairments in Children and Adolescents After Hospitalization for Acute COVID-19 or MIS-C","volume":"150","author":"Maddux","year":"2022","journal-title":"Pediatrics"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1186\/s12985-024-02400-3","article-title":"Development and validation of a prognostic model for assessing long COVID risk following Omicron wave-a large population-based cohort study","volume":"21","author":"Fang","year":"2024","journal-title":"Virol. J."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1038\/s43856-024-00549-0","article-title":"Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts","volume":"4","author":"Zang","year":"2024","journal-title":"Commun. Med."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.ijid.2023.01.031","article-title":"Persistent symptoms after COVID-19 in children and adolescents from Argentina","volume":"129","author":"Seery","year":"2023","journal-title":"Int. J. Infect. Dis."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"e2223253","DOI":"10.1001\/jamanetworkopen.2022.23253","article-title":"Post-COVID-19 Conditions Among Children 90 Days After SARS-CoV-2 Infection","volume":"5","author":"Funk","year":"2022","journal-title":"JAMA Netw. Open"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"101254","DOI":"10.1016\/j.xcrm.2023.101254","article-title":"Sequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID","volume":"4","author":"Wang","year":"2023","journal-title":"Cell Rep. Med."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1038\/s41467-021-27797-1","article-title":"Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome","volume":"13","author":"Cervia","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"e1106","DOI":"10.1210\/clinem\/dgad207","article-title":"Low Vitamin D Levels are Associated with Long COVID Syndrome in COVID-19 Survivors","volume":"108","author":"Frara","year":"2023","journal-title":"J. Clin. Endocrinol. Metab."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Chen, K.Y., Lin, C.K., and Chen, N.H. (2023). Effects of vitamin D and zinc deficiency in acute and long COVID syndrome. J. Trace Elem. Med. Biol., 80.","DOI":"10.1016\/j.jtemb.2023.127278"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1684\/mrh.2023.0519","article-title":"Hypomagnesemia and 25-hydroxyvitamin D deficiency in patients with long COVID","volume":"36","author":"Orrante","year":"2023","journal-title":"Magnes. Res."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Perestiuk, V., Kosovska, T., Dyvoniak, O., Volianska, L., and Boyarchuk, O. (2025). Vitamin D status in children with COVID-19: Does it affect the development of long COVID and its symptoms?. Front. Pediatr., 13.","DOI":"10.3389\/fped.2025.1507169"},{"key":"ref_46","first-page":"3038","article-title":"Prevalence of vitamin D deficiency among patients attending Post COVID-19 follow-up clinic: A cross-sectional study","volume":"26","author":"Galal","year":"2022","journal-title":"Eur. Rev. Med. Pharmacol. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Hikmet, R.G., Wejse, C., and Agergaard, J. (2023). Effect of Vitamin D in Long COVID Patients. Int. J. Environ. Res. Public Health, 20.","DOI":"10.3390\/ijerph20227058"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s00394-023-03298-3","article-title":"Association between vitamin D deficiency and post-acute outcomes of SARS-CoV-2 infection","volume":"63","author":"Wu","year":"2024","journal-title":"Eur. J. Nutr."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"102815","DOI":"10.1016\/j.eclinm.2024.102815","article-title":"Characteristics and predictors of Long Covid in children: A 3-year prospective cohort study","volume":"76","author":"Camporesi","year":"2024","journal-title":"eClinicalMedicine"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.jiph.2023.03.005","article-title":"Prevalence and risk factor for long COVID in children and adolescents: A meta-analysis and systematic review","volume":"16","author":"Zheng","year":"2023","journal-title":"J. Infect. Public Health"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Quaranta, V.N., Portacci, A., Dragonieri, S., Locorotondo, C., Buonamico, E., Diaferia, F., Iorillo, I., Quaranta, S., and Carpagnano, G.E. (2023). The Predictors of Long COVID in Southeastern Italy. J. Clin. Med., 12.","DOI":"10.3390\/jcm12196303"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4881","DOI":"10.1007\/s10238-023-01153-7","article-title":"The effect of corticosteroids, antibiotics, and anticoagulants on the development of post-COVID-19 syndrome in COVID-19 hospitalized patients 6 months after discharge: A retrospective follow up study","volume":"23","author":"Davelaar","year":"2023","journal-title":"Clin. Exp. Med."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"465","DOI":"10.3345\/cep.2023.00472","article-title":"Long COVID in children and adolescents: Prevalence, clinical manifestations, and management strategies","volume":"66","author":"Ha","year":"2023","journal-title":"Clin. Exp. Pediatr."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1097\/MOP.0000000000001221","article-title":"Diagnosis and management of post-COVID (Long COVID) in children: A moving target","volume":"35","author":"Morello","year":"2023","journal-title":"Curr. Opin. Pediatr."},{"key":"ref_55","unstructured":"National Institute for Health and Care Excellence (NICE) (2020). COVID-19 Rapid Guideline: Managing the Long-Term Effects of COVID-19, NICE. Available online: https:\/\/www.nice.org.uk\/guidance\/ng188."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1002\/pmrj.12890","article-title":"Multi-disciplinary collaborative consensus guidance statement on the assessment and treatment of postacute sequelae of SARS-CoV-2 infection (PASC) in children and adolescents","volume":"14","author":"Malone","year":"2022","journal-title":"PM&R"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"101624","DOI":"10.1016\/j.eclinm.2022.101624","article-title":"Impact of COVID-19 vaccination on the risk of developing long-COVID and on existing long-COVID symptoms: A systematic review","volume":"53","author":"Notarte","year":"2022","journal-title":"eClinicalMedicine"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"e2023064446","DOI":"10.1542\/peds.2023-064446","article-title":"Vaccine Effectiveness Against Long COVID in Children","volume":"153","author":"Razzaghi","year":"2024","journal-title":"Pediatrics"},{"key":"ref_59","first-page":"S1473-3099(25)00476-1","article-title":"Long COVID associated with SARS-CoV-2 reinfection among children and adolescents in the omicron era (RECOVER-EHR): A retrospective cohort study","volume":"47","author":"Zhang","year":"2025","journal-title":"Lancet Infect. Dis."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"e146","DOI":"10.1097\/INF.0000000000003052","article-title":"Schools Closures During the COVID-19 Pandemic: A Catastrophic Global Situation","volume":"40","author":"Buonsenso","year":"2021","journal-title":"Pediatr. Infect. Dis. J."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/22\/11\/1693\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T10:37:41Z","timestamp":1762771061000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/22\/11\/1693"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,9]]},"references-count":60,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2025,11]]}},"alternative-id":["ijerph22111693"],"URL":"https:\/\/doi.org\/10.3390\/ijerph22111693","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,9]]}}}