ArticleScience translational medicine2020
Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States.
Article in Science translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
59 citing papers in PubMed.
- Scale reliant mixed effects models enhance microbiome data analysis.Microbiome · 2026Article
- What Lessons can Be Learned From the Management of the COVID-19 Pandemic?International journal of public health · 2025Review
- Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe.Journal of clinical medicine · 2024Article
- "The History of Chinese Medicine Really Is Very Detailed Regarding Pandemics": A Qualitative Analysis of Evidence-Based Practice and the Use of Chinese Herbal Medicine by Licensed Acupuncturists During the COVID-19 Pandemic in the United States.Journal of integrative and complementary medicine · 2023Article
- Sewershed surveillance as a tool for smart management of a pandemic in threshold countries. Case study: Tracking SARS-CoV-2 during COVID-19 pandemic in a major urban metropolis in northwestern Argentina.The Science of the total environment · 2023Article
- Investigating the effects of absolute humidity and movement on COVID-19 seasonality in the United States.Scientific reports · 2022Article
- Dynamic downscaling and daily nowcasting from influenza surveillance data.Statistics in medicine · 2022Article
- Global influenza surveillance systems to detect the spread of influenza-negative influenza-like illness during the COVID-19 pandemic: Time series outlier analyses from 2015-2020.PLoS medicine · 2022Article
- Preventing influenza and influenza like illness during Covid-19 pandemic: A call for action.Early human development · 2022Article
- The impact of SARS-CoV-2 on respiratory syndromic and sentinel surveillance in Israel, 2020: a new perspective on established systems.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022Article
- HIV and SARS-CoV-2 Co-infection: Epidemiological, Clinical Features, and Future Implications for Clinical Care and Public Health for People Living with HIV (PLWH) and HIV Most-at-Risk Groups.Current HIV/AIDS reports · 2022Review
- Article
- Citation needed? Wikipedia bibliometrics during the first wave of the COVID-19 pandemic.GigaScience · 2022Article
- Wastewater SARS-CoV-2 monitoring as a community-level COVID-19 trend tracker and variants in Ohio, United States.The Science of the total environment · 2021Article
- HIV and SARS-CoV-2 Co-infection: Epidemiological, Clinical Features, and Future Implications for Clinical Care and Public Health for People Living with HIV (PLWH) and HIV Most-at-Risk Groups.Current HIV/AIDS reports · 2021Review
- Wastewater-based epidemiology-surveillance and early detection of waterborne pathogens with a focus on SARS-CoV-2, Cryptosporidium and Giardia.Parasitology research · 2021Review
- Wastewater-Based Epidemiology for Community Monitoring of SARS-CoV-2: Progress and Challenges.ACS environmental Au · 2021Review
- RNA Viromics of Southern California Wastewater and Detection of SARS-CoV-2 Single-Nucleotide Variants.Applied and environmental microbiology · 2021Article
- A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic.European economic review · 2021Article
- Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections to date has relied heavily on reverse transcription polymerase chain reaction testing. However, limited test availability, high false-negative rates, and the existence of asymptomatic or subclinical infections have resulted in an undercounting of the true prevalence of SARS-CoV-2. Here, we show how influenza-like illness (ILI) outpatient surveillance data can be used to estimate the prevalence of SARS-CoV-2. We found a surge of non-influenza ILI above the seasonal average in March 2020 and showed that this surge correlated with coronavirus disease 2019 (COVID-19) case counts across states. If one-third of patients infected with SARS-CoV-2 in the United States sought care, this ILI surge would have corresponded to more than 8.7 million new SARS-CoV-2 infections across the United States during the 3-week period from 8 to 28 March 2020. Combining excess ILI counts with the date of onset of community transmission in the United States, we also show that the early epidemic in the United States was unlikely to have been doubling slower than every 4 days. Together, these results suggest a conceptual model for the COVID-19 epidemic in the United States characterized by rapid spread across the United States with more than 80% infected individuals remaining undetected. We emphasize the importance of testing these findings with seroprevalence data and discuss the broader potential to use syndromic surveillance for early detection and understanding of emerging infectious diseases.
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