Objectives: to describe Open Data Covid, an online application dedicated to the pandemic and the health of the population of the province of L'Aquila (Abruzzo Region, Southern Italy), created following the health emergency in Italy and worldwide.
Design: Open Data Covid is the result of a multidisciplinary study group including University of L'Aquila, Local Health Unit 1 Abruzzo, and Gran Sasso Science Institute. In the first phase, the information to be shown was identified and made available based on the pandemic national reports to obtain comparable results. The health databases containing the information needed to power the application were selected. This information was then evaluated, cleaned, and integrated.
Setting And Participants: data derived from administrative data flow of the Local Health Unit.
Main Outcomes Measures: the final application collects individual data from confirmed laboratory cases of SARS-CoV-2 infection and collects information about their residence, laboratory diagnosis, hospitalization, clinical status, risk factors and outcome.
Results: the application was structured in three sections. The first section shows data about the COVID-19 pandemic; the second contains information about the assisted population; the third contains documentation and access to public Application Programming Interfaces (APIs) for accessing source data. Consulting the application data is simple and intuitive: through graphs and infographics, the temporal and geographical course of the pandemic can be known.
Conclusions: the Open Data Covid application is a response to the information gaps highlighted by the COVID-19 pandemic. Its creation demonstrated that is possible to build an online application useful both for the population and for public health professionals.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.19191/EP23.3.A572.042 | DOI Listing |
JAMA Netw Open
January 2025
Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, Epidemiology and Clinical and Translational Research, University of Pittsburgh, Pittsburgh, Pennsylvania.
Importance: Chronic hypertension and preeclampsia are leading risk enhancers for maternal-neonatal morbidity and mortality. Severe maternal morbidity (SMM) indicators include heart, kidney, and liver disease, but studies have not excluded patients with preexisting diseases that define SMM. Thus, SMM risks for uncomplicated chronic hypertension specific to preeclampsia remain unclear.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Importance: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory illness that occurs 2 to 6 weeks after SARS-CoV-2 infection. Presentation overlaps with other conditions, and risk factors for severity differ by patient. Characterizing patterns of MIS-C presentation can guide efforts to reduce misclassification, categorize phenotypes, and identify patients at risk for severe outcomes.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
ISGlobal, Barcelona, Spain.
Importance: Climate change can adversely affect mental health, but the association of ambient temperature with psychiatric symptoms remains poorly understood.
Objective: To assess the association of ambient temperature exposure with internalizing, externalizing, and attention problems in adolescents from 2 population-based birth cohorts in Europe.
Design, Setting, And Participants: This cohort study analyzed data from the Dutch Generation R Study and the Spanish INMA (Infancia y Medio Ambiente) Project.
JAMA Netw Open
January 2025
Ankara University Faculty of Medicine, Department of Medical Oncology, Ankara, Turkey.
Importance: Clinical trials are vital for advancing cancer treatments and improving patient outcomes. Understanding the factors that influence participants' decision-making is critical for enhancing trial recruitment.
Objective: To evaluate the attitudes of patients with cancer and their relatives toward clinical trial participation, identifying key barriers and motivators that affect their willingness to engage in such trials.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!