Population birth data and pandemic readiness in Europe

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadThe SARS-CoV-2 pandemic exposed multiple shortcomings in national and international capacity to respond to an infectious disease outbreak. It is essential to learn from these deficiencies to prepare for future epidemics. One major gap is the limited availability of timely and comprehensive population-based routine data about COVID-19's impact on pregnant women and babies. As part of the Horizon 2020 PHIRI (Population Health Information Research Infrastructure) project on the use of population data for COVID-19 surveillance, the Euro-Peristat research network investigated the extent to which routine information systems could be used to assess the effects of the pandemic by constructing indicators of maternal and child health and of COVID-19 infection. The Euro-Peristat network brings together researchers and statisticians from 31 countries to monitor population indicators of perinatal health in Europe and periodically compiles data on a set of 10 core and 20 recommended indicators.Horizon 2020 Framework Programm

Neonatal mortality disparities by gestational age in European countries

IMPORTANCE There are wide disparities in neonatal mortality rates (NMRs, deaths <28 days of lifeafter live birth per 1000 live births) between countries in Europe, indicating potential for improvement. Comparing country-specific patterns of births and deaths with countries with low mortality rates can facilitate the development of effective intervention strategies. OBJECTIVE To investigate how these disparities are associated with the distribution of gestational age (GA) and GA-specific mortality rates. DESIGN, SETTING, AND PARTICIPANTS This was a cross-sectional study of all live births in 14 participating European countries using routine data compiled by the Euro-Peristat Network. Live births with a GA of 22 weeks or higher from 2015 to 2020 were included. Data were analyzed from May to October 2023. EXPOSURES GA at birth. MAIN OUTCOMES AND MEASURES The study investigated excess neonatal mortality, defined as a rate difference relative to the pooled rate in the 3 countries with the lowest NMRs (Norway, Sweden,and Finland; hereafter termed the top 3). The Kitagawa method was used to divide this excess into the proportion explained by the GA distribution of births and by GA-specific mortality rates. A sensitivity analysis was conducted among births 24 weeks’ GA or greater. RESULTS There were 35 094 neonatal deaths among 15 123 428 live births for an overall NMR of 2.32 per 1000. The pooled NMR in the top 3 was 1.44 per 1000 (1937 of 1 342 528). Excess neonatal mortality compared with the top 3 ranged from 0.17 per 1000 in the Czech Republic to 1.82 per 1000 in Romania. Excess deaths were predominantly concentrated among births less than 28 weeks’ GA (57.6%overall). Full-term births represented 22.7%of the excess deaths in Belgium, 17.8%in France, 40.6%in Romania and 17.3%in the United Kingdom. Heterogeneous patternswere observed when partitioning excess mortality into the proportion associated with the GA distribution vs GA-specific mortality. For example, these proportions were 9.2%and 90.8%in France, 58.4%and 41.6%in the United Kingdom, and 92.9%and 7.1% in Austria, respectively. These associations remained stable after removing births under 24 weeks’ GA in most, but not all, countries. CONCLUSIONS AND RELEVANCE This cohort study of 14 European countries found wide NMR disparities with varying patterns by GA. This knowledge is important for developing effective strategies to reduce neonatal mortality

Population birth data and pandemic readiness in Europe

The SARS-CoV-2 pandemic exposed multiple shortcomings in national and international capacity to respond to an infectious disease outbreak. It is essential to learn from these deficiencies to prepare for future epidemics. One major gap is the limited availability of timely and comprehensive population-based routine data about COVID-19's impact on pregnant women and babies. As part of the Horizon 2020 PHIRI (Population Health Information Research Infrastructure) project on the use of population data for COVID-19 surveillance, the Euro-Peristat research network investigated the extent to which routine information systems could be used to assess the effects of the pandemic by constructing indicators of maternal and child health and of COVID-19 infection. The Euro-Peristat network brings together researchers and statisticians from 31 countries to monitor population indicators of perinatal health in Europe and periodically compiles data on a set of 10 core and 20 recommended indicators1