Development of a registration interval correction model for enhancing excess all-cause mortality surveillance during the COVID-19 pandemic.

Background: Estimates of excess deaths provide critical intelligence on the impact of population health threats including seasonal respiratory infections, pandemics and environmental hazards. Timely estimates of excess deaths can inform the response to COVID-19. However, access to timely mortality data is challenging due to the time interval between the death occurring and the date the death is registered and available for analysis ('registration interval').

Household transmission of COVID-19 in 2020 in New South Wales, Australia.

Households are high-risk settings for the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study examines factors associated with transmission among cases diagnosed with coronavirus disease 2019 (COVID-19) and their household contacts, in New South Wales (NSW), Australia, during July-October 2020. A register of all laboratory-confirmed COVID-19 cases was used to extract demographic and clinical information for cases and household contacts.