Publications by authors named "Marianna Meaidi"
Background: Individuals with a prior Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection have a moderate to high degree of protection against reinfection, though seemingly less so when the Omicron variant of SARS-CoV-2 started to circulate. The aim of this study was to evaluate the vaccine effectiveness (VE) against SARS-CoV-2 reinfection, Coronavirus Disease 2019 (COVID-19)-related hospitalization, and COVID-19-related death, in individuals with prior SARS-CoV-2 infection, and to assess the effect of time since vaccination during periods with different dominant SARS-CoV-2 variants.
Methods And Findings: This study used a nationwide cohort design including all individuals with a confirmed SARS-CoV-2 infection, who were alive, and residing in Denmark between 1 January 2020 and 31 January 2022.
Background: Burden of disease studies measure the public health impact of a disease in a society. The aim of this study was to quantify the direct burden of COVID-19 in the first 12 months of the epidemic in Denmark.
Methods: We collected national surveillance data on positive individuals for SARS-CoV-2 with RT-PCR, hospitalization data, and COVID-19 mortality reported in the period between 26 of February, 2020 to 25 of February, 2021.
Article Synopsis
- The COVID-19 pandemic increased the demand for real-time surveillance data to help manage public health decisions, leading to the establishment of a robust surveillance system using Denmark's MiBa microbiology database linked with national health registries.
- The system capitalized on existing IT infrastructure and collaboration among microbiologists, IT experts, and public health officials, allowing for a rapid increase in SARS-CoV-2 testing capacity from zero to over 10,000 weekly tests per 100,000 people.
- The integration of various data uses—from laboratory reports to public health responses—highlighted the need for data protection and system capacity, ultimately enabling timely health interventions and suggesting a shift toward a comprehensive data-driven public health information system for the future.