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. 2021 Feb 9;12:726. doi: 10.1038/s41467-021-21018-5

Table 1.

List of datasets.

Dataset Source Year, Temporal resolution Spatial resolution
ILI Emergency Department visits in New York City (NYC) EpiQuery: NYC Syndromic Surveillance 2016–2017 flu season (daily) County level
ILI Flu-A positive % CDC FluView 2016–2017 flu season (weekly) HHS Region 2, State of New York
ILI Lab tested flu positive counts for State of New Jersey (NJ) The New Jersey Department of Health 2016–2017 flu season (weekly) County level
Influenza positive counts for Australia (AUS) National Notifiable Disease Surveillance System, Australia Government, Department of Health 2016 flu season (daily) State level
Aggregate mobility flows (AMM) Google 2016–2017 (weekly) County level (NY, NJ), State level (AUS)
NY, NJ Commuter counts (COMMUTE) American Community Survey 2009–2013 (typical day) County level
Interstate commuter flows in Australia Australian Labor Market Statistics 2006 census State level
NY, NJ population U.S. Census Bureau 2013 population estimates County level
Australia population Australian Bureau of Statistics 2016 population estimates State level

Each dataset is provided along with the source, temporal, and spatial resolution. The first four datasets pertain to influenza incidence rate monitoring, while the remaining are used to model movement between counties/states. ILI stands for Influenza-Like Illness, which includes influenza and other illnesses that present similar symptoms. Clinical lab tests are used to confirm whether it is influenza, and if so, to identify the particular strain. During a typical influenza season, multiple strains circulate in the population, and Flu-A positive% is the percentage of lab-tested influenza specimens that tested positive for Influenza A. A full list of references are provided in the Data Availability Statement.