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[The preparedness of the Italian obstetric surveillance system in the response to the emergency of the SARS-CoV-2 pandemic: methodological aspects of a population-based study]. / La preparedness dell'Italian obstetric surveillance system in occasione della pandemia da SARS-CoV-2: aspetti metodologici di uno studio di popolazione.
Corsi, Edoardo; Maraschini, Alice; Perrone, Enrica; Salvatore, Michele Antonio; D'aloja, Paolo; Donati, Serana.
  • Corsi E; Dipartimento di biomedicina e prevenzione, Università degli Studi di Roma Tor Vergata, Roma; edoardocorsi2809@gmail.com.
  • Maraschini A; Centro nazionale per la prevenzione delle malattie e la promozione della salute, Istituto superiore di sanità, Roma.
  • Perrone E; Servizio assistenza territoriale, Direzione generale cura della persona, salute e welfare, Regione Emilia-Romagna, Bologna.
  • Salvatore MA; Centro nazionale per la prevenzione delle malattie e la promozione della salute, Istituto superiore di sanità, Roma.
  • D'aloja P; Centro nazionale per la prevenzione delle malattie e la promozione della salute, Istituto superiore di sanità, Roma.
  • Donati S; Centro nazionale per la prevenzione delle malattie e la promozione della salute, Istituto superiore di sanità, Roma.
Epidemiol Prev ; 44(5-6 Suppl 2): 81-87, 2020.
Article in Italian | MEDLINE | ID: covidwho-2239845
ABSTRACT
This paper aims to describe the Italian obstetric surveillance system (ItOSS) preparedness as an element for a timely response to the new Coronavirus pandemic. ItOSS is a surveillance network that has been collecting data on maternal mortality and conducting population studies on obstetric near misses since 2013. At the beginning of the pandemic, ItOSS launched a new population-based project to monitor SARS-CoV-2 infection during pregnancy and post-partum and promptly give back information useful to clinicians and decision-makers. All the regions and autonomous provinces, for a total of 289 birth units (PN), joined the study. Data relating to pregnant or post-partum women with a confirmed SARS-CoV-2 infection diagnosis addressing the maternities for outpatient visits or hospitalization were collected. The project methodology entails that each participating maternity reports the cases to ItOSS uploading data through an open-source platform. The on-line form includes sociodemographic and clinical data and maternal-neonatal outcomes. Biological samples to detect possible vertical transmission are also collected voluntarily. A total of 534 incident cases were reported from February 25th to July 10th 2020; 7 regions also collected biological samples for 227 cases; data collection is still ongoing.A preliminary analysis of the first 146 SARS-CoV-2 positive women who gave birth between February 25th to April 22nd shows an incidence rate of the infection equal to 2.1/1,000 in Italy and 6.9/1,000 in the Lombardy Region (Northern Italy). The brief time needed to setting up and operating the project, the national coverage, the adoption of shared tools for data collection, the quality and completeness of the information collected show how the availability of active networks like ItOSS represents a crucial element to hold a high level of preparedness in case of a health emergency.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Civil Defense / Disease Notification / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Female / Humans / Pregnancy Country/Region as subject: Europa Language: Italian Journal: Epidemiol Prev Journal subject: Epidemiology Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Civil Defense / Disease Notification / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Female / Humans / Pregnancy Country/Region as subject: Europa Language: Italian Journal: Epidemiol Prev Journal subject: Epidemiology Year: 2020 Document Type: Article