Weekly, population-based estimates of SARS-CoV-2-associated hospitalizations are needed to inform the public health response to this outbreak. Additionally, characterizing the hospitalized cases will be important to investigate risk factors for severe illness (i.e. hospitalization) and mortality and inform intervention strategies. Therefore, leveraging the FluSurv-NET and RSV-NET surveillance platforms, participating COVID-NET sites conduct SARS-CoV-2 surveillance to investigate the characteristics and burden of children and adults hospitalized with SARS-CoV-2.
Goals & Objectives
- Estimate age-specific hospitalization rates in a timely manner (e.g., daily and/or weekly).
- Describe the temporal trends of laboratory-confirmed SARS-CoV-2 hospitalization.
- Utilize hospitalization rate data to estimate the national disease burden of COVID-19.
- Describe characteristics of persons hospitalized with SARS-CoV-2 infection.
- Describe the clinical features and course of COVID-19 (e.g., severe illness and SARS-CoV-2-associated complications) among persons hospitalized with COVID-19.
- Assess the burden of hospital-acquired SARS-CoV-2 infections.
- In Connecticut, real-time prospective surveillance is conducted to identify all Covid-19 associated hospitalizations in New Haven and Middlesex counties.
- An initial dataset consisting of 7 variables on all hospitalized cases -case identification number, state, case type [pediatric vs. adult], date of birth/age, date of hospital admission, sex, and SARS-CoV-2 test result [test type, test date, test result]-is transmitted to CDC weekly.
- Detailed clinical and epidemiologic data is then abstracted via chart review on all hospitalized cases using standardized data collection instruments.
- In addition, COVID-NET will carry out activities to further characterize Covid-19 testing in the population.
Connecticut Emerging Infections Program
One Church Street, 7th floor
New Haven, CT 06510