Wastewater-Based Detection of Two Influenza Outbreaks-Reference-Cited by-同舟云学术

Wastewater-Based Detection of Two Influenza Outbreaks

Published:2022-07-05 Issue:8 Volume:9 Page:687-692
ISSN:2328-8930
Container-title:Environmental Science & Technology Letters
language:en
Short-container-title:Environ. Sci. Technol. Lett.

Author:

Wolfe Marlene K.¹^ORCID,Duong Dorothea²,Bakker Kevin M.³,Ammerman Michelle⁴,Mortenson Lindsey⁵,Hughes Bridgette²,Arts Peter⁴,Lauring Adam S.⁶,Fitzsimmons William J.⁶,Bendall Emily⁶,Hwang Calvin E.⁷,Martin Emily T.³,White Bradley J.²,Boehm Alexandria B.⁸^ORCID,Wigginton Krista R.⁴^ORCID

Affiliation:

1. Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, Georgia 30322, United States

2. Verily Life Sciences, South San Francisco, California 94080, United States

3. Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, United States

4. Department of Civil & Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States

5. University Health Service, University of Michigan, Ann Arbor, Michigan 48109, United States

6. Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, United States

7. Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California 94305, United States

8. Department of Civil & Environmental Engineering, Stanford University, Stanford, California 94305, United States

Funder

University of Michigan

Stanford University

Michigan Department of Health and Human Services

CDC Foundation

Publisher

American Chemical Society (ACS)

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Water Science and Technology,Ecology,Environmental Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.2c00350

Reference27 articles.

1. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

2. Distinct influenza surveillance networks and their agreement in recording regional influenza circulation: Experience from Southeast Michigan

3. Improving State-Level Influenza Surveillance by Incorporating Real-Time Smartphone-Connected Thermometer Readings Across Different Geographic Domains

4. Influenza A (H7N9) and the Importance of Digital Epidemiology

5. Real-time influenza forecasts during the 2012–2013 season

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