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dc.contributor.authorCalvert, Claraes_ES
dc.contributor.authorBrockway, Meredith Merileees_ES
dc.contributor.authorZoega, Helgaes_ES
dc.contributor.authorMiller, Jessica E.es_ES
dc.contributor.authorBeen, Jasper V.es_ES
dc.contributor.authorAmegah, Adeladza Kofies_ES
dc.contributor.authorRacine-Poon, Amyes_ES
dc.contributor.authorOskoui, Solmaz Eradates_ES
dc.contributor.authorAbok, Ishaya I.es_ES
dc.contributor.authorAghaeepour, Nimaes_ES
dc.contributor.authorAkwaowo, Christie Des_ES
dc.contributor.authorAlshaikh, Belal Nes_ES
dc.contributor.authorAyede, Adejumoke Ies_ES
dc.contributor.authorBacchini, Fabianaes_ES
dc.contributor.authorBarekatain, Behzades_ES
dc.contributor.authorBarnes, Rodrigoes_ES
dc.contributor.authorBebak, Karolinaes_ES
dc.contributor.authorBerard, Anickes_ES
dc.contributor.authorLlorca Díaz, Francisco Javier es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-09-12T18:25:19Z
dc.date.available2023-09-12T18:25:19Z
dc.date.issued2023es_ES
dc.identifier.issn2397-3374es_ES
dc.identifier.urihttps://hdl.handle.net/10902/29884
dc.description.abstractPreterm birth (PTB) is the leading cause of infant mortality worldwide. Changes in PTB rates, ranging from −90% to +30%, were reported in many countries following early COVID-19 pandemic response measures (‘lockdowns’). It is unclear whether this variation refects real diferences in lockdown impacts, or perhaps diferences in stillbirth rates and/or study designs. Here we present interrupted time series and meta-analyses using harmonized data from 52 million births in 26 countries, 18 of which had representative population-based data, with overall PTB rates ranging from 6% to 12% and stillbirth ranging from 2.5 to 10.5 per 1,000 births. We show small reductions in PTB in the frst (odds ratio 0.96, 95% confdence interval 0.95–0.98, P value <0.0001), second (0.96, 0.92–0.99, 0.03) and third (0.97, 0.94–1.00, 0.09) months of lockdown, but not in the fourth month of lockdown (0.99, 0.96–1.01, 0.34), although there were some between-country diferences after the frst month. For high-income countries in this study, we did not observe an association between lockdown and stillbirths in the second (1.00, 0.88–1.14, 0.98), third (0.99, 0.88–1.12, 0.89) and fourth (1.01, 0.87–1.18, 0.86) months of lockdown, although we have imprecise estimates due to stillbirths being a relatively rare event. We did, however, fnd evidence of increased risk of stillbirth in the frst month of lockdown in high-income countries (1.14, 1.02–1.29, 0.02) and, in Brazil, we found evidence for an association between lockdown and stillbirth in the second (1.09, 1.03–1.15, 0.002), third (1.10, 1.03–1.17, 0.003) and fourth (1.12, 1.05–1.19, <0.001) months of lockdown. With an estimated 14.8 million PTB annually worldwide, the modest reductions observed during early pandemic lockdowns translate into large numbers of PTB averted globally and warrant further research into causal pathways.es_ES
dc.description.sponsorshipFunding and in-kind support: This work was supported by the International COVID-19 Data Alliance (ICODA), an initiative funded by the Bill and Melinda Gates Foundation and Minderoo as part of the COVID-19 Therapeutics Accelerator and convened by Health Data Research (HDR) UK, in addition to support from the HDR UK BREATHE Hub. Several ICODA partners contributed to the study, including: Cytel (statistical support), the Odd Group (data visualization) and Aridhia Informatics (development of federated analysis using a standardized protocol ([Common API] https://github.com/federated-data-sharing/) to be used in future work). Additional contributors: We acknowledge the important contributions from the following individuals: A. C. Hennemann and D. Suguitani (patient partners from Prematuridade: Brazilian Parents of Preemies’ Association, Porto Alegre, Brazil); N. Postlethwaite (implementation of processes supporting the trustworthy collection, governance and analysis of data from ICODA, HDR UK, London, UK); A. S. Babatunde (led data acquisition from University of Uyo Teaching Hospital, Uyo, Nigeria); N. Silva (data quality, revision and visualization assessment from Methods, Analytics and Technology for Health (M.A.T.H) Consortium, Belo Horizonte, Brazil); J. Söderling (data management from the Karolinska Institutet, Stockholm, Sweden). We also acknowledge the following individuals who assisted with data collection eforts: R. Goemaes (Study Centre for Perinatal Epidemiology (SPE), Brussels, Belgium); C. Leroy (Le Centre d'Épidémiologie Périnatale (CEpiP), Brussels, Belgium); J. Gamba and K. Ronald (St. Francis Nsambya Hospital, Kampala, Uganda); M. Heidarzadeh (Tabriz Medical University, Tabriz, Iran); M. J. Ojeda (Pontificia Universidad Católica de Chile, Santiago, Chile); S. Nangia (Lady Hardinge Medical College, New Delhi, India); C. Nelson, S. Metcalfe and W. Luo (Maternal Infant Health Section of the Public Health Agency of Canada, Ottawa, Canada); K. Sitcov (Foundation for Health Care Quality, Seattle, United States); A. Valek (Semmelweis University, Budapest, Hungary); M. R. Yanlin Liu (Mater Data and Analytics, Brisbane, Australia). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.es_ES
dc.format.extent29 p.es_ES
dc.language.isoenges_ES
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceNature Human Behaviour, 2023, 7, 529-544es_ES
dc.titleChanges in preterm birth and stillbirth during COVID-19 lockdowns in 26 countrieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1038/s41562-023-01522-yes_ES
dc.type.versionpublishedVersiones_ES


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