MICOM Data Sets
Below are some data sets that are available for use for researchers interested in our work. If you use these data, we ask that you please cite them using the citation provided along with the data set.
For more information about MICOM, please visit our website micom-insight.net.
For MICOM code, please visit our Github page.
We have the following classes of data currently available:
Respiratory Surveillance Cohort Data Sets
HIVE/CoVE/MITIGATE Cohort Data Download Data
These data are combined across three Michigan cohort studies conducted by the Center for Respiratory Virus Research and Response (CRVRR): the Household Influenza Vaccine Effectiveness (HIVE) Study, CoVE study, and MITIGATE Study. A brief description of each study is given below, and for more information on these cohorts and the study protocols, please visit the CRVRR website. The data provided below are weekly samples combined across all three cohorts, censored if the total samples taken that week is <10. The last line of the file represents cumulative totals.
- The HIVE cohort is a longitudinal cohort of approximately 300 households with children in southeastern Michigan with year-round active surveillance of respiratory infections of any severity (including influenza, RSV, and SARS-CoV-2).
- The CoVE Study is a CDC-funded study evaluating the effectiveness of COVID-19 vaccines against symptomatic and asymptomatic infection in Michigan residents. It is a fully remote study involving nasal swab self-collection on a weekly basis and during acute respiratory illness for detection of SARS-CoV-2 and other respiratory viruses (however the data here only includes samples taken during illness). Households participating in HIVE are also invited to take part in CoVE.
- MITIGATE FLU is a multi-site collaboration funded by FluLab, between Virginia Tech, University of Michigan Schools of Public Health, Engineering, and Medicine, University of Pittsburgh, Emory University and Georgetown University. The overall goals of this research are to determine how behavioral and environmental factors affect transmission and to identify the most effective interventions for reducing transmission in child care and school settings.
MFIVE Data Download Data
This CDC-funded study works in partnership with other national sites to conduct active surveillance of individuals with medically-attended acute respiratory illness (active since 2010). In collaboration with Dr. Ivana Vaughn of the Henry Ford Health System, the Center’s researchers work with ambulatory clinics across southeast Michigan to collect data on vaccine effectiveness against respiratory viruses. Along with the other sites in the network, they distribute and collect swabs and clinical data to monitor vaccine effectiveness, while evaluating the epidemiology, clinical characteristics, and risk factors for influenza and COVID-19 across the US. This study is part of the CDC’s US Flu VE Network. More information about the US Flu VE Network. The data provided below are biweekly samples, censored if the total samples taken for that period is <10. The last line of the file represents cumulative totals.
Infectious Disease Genomics Data
Since 2020, the Lauring laboratory has been performing genomic surveillance of respiratory viruses nationally and across the State of Michigan. In 2024, we brought these activities under the umbrella of the Michigan Infectious Disease Genomics Center, one of three NIAID-supported Genomic Centers of Infectious Diseases. We currently sample influenza viruses and SARS-CoV-2 specimens provided by testing laboratories at Michigan Medicine and Henry Ford Health System as well as through the other studies on this page. Our surveillance of influenza viruses is supported by the NIAID Centers for Respiratory Virus Surveillance and Response (CEIRR), and our surveillance of SARS-CoV-2 is supported by a contract from the CDC. Completed genomes are available through NCBI Genbank under the following bioprojects: PRJNA1015662 (SARS-CoV-2), PRJNA1019712 (Influenza A virus), PRJNA1023536 (Influenza B virus), PRJNA1079770 (Respiratory Syncytial Virus).
