Dataset Information

Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing.

ABSTRACT: Despite the widespread implementation of public health measures, coronavirus disease 2019 (COVID-19) continues to spread in the United States. To facilitate an agile response to the pandemic, we developed How We Feel, a web and mobile application that collects longitudinal self-reported survey responses on health, behaviour and demographics. Here, we report results from over 500,000 users in the United States from 2 April 2020 to 12 May 2020. We show that self-reported surveys can be used to build predictive models to identify likely COVID-19-positive individuals. We find evidence among our users for asymptomatic or presymptomatic presentation; show a variety of exposure, occupational and demographic risk factors for COVID-19 beyond symptoms; reveal factors for which users have been SARS-CoV-2 PCR tested; and highlight the temporal dynamics of symptoms and self-isolation behaviour. These results highlight the utility of collecting a diverse set of symptomatic, demographic, exposure and behavioural self-reported data to fight the COVID-19 pandemic.

SUBMITTER: Allen WE

PROVIDER: S-EPMC7501153 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing.

Allen William E WE Altae-Tran Han H Briggs James J Jin Xin X McGee Glen G Shi Andy A Raghavan Rumya R Kamariza Mireille M Nova Nicole N Pereta Albert A Danford Chris C Kamel Amine A Gothe Patrik P Milam Evrhet E Aurambault Jean J Primke Thorben T Li Weijie W Inkenbrandt Josh J Huynh Tuan T Chen Evan E Lee Christina C Croatto Michael M Bentley Helen H Lu Wendy W Murray Robert R Travassos Mark M Coull Brent A BA Openshaw John J Greene Casey S CS Shalem Ophir O King Gary G Probasco Ryan R Cheng David R DR Silbermann Ben B Zhang Feng F Lin Xihong X

Nature human behaviour 20200826 9

Despite the widespread implementation of public health measures, coronavirus disease 2019 (COVID-19) continues to spread in the United States. To facilitate an agile response to the pandemic, we developed How We Feel, a web and mobile application that collects longitudinal self-reported survey responses on health, behaviour and demographics. Here, we report results from over 500,000 users in the United States from 2 April 2020 to 12 May 2020. We show that self-reported surveys can be used to bui ...[more]

PMID: 32848231

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Project description:The Coronavirus disease 2019 (COVID-19) pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has resulted in economic and social lockdowns in most countries all over the globe. Early identification of infected individuals is regarded as one of the most important prerequisites for fighting the pandemic and for returning to a 'New Normal'. Large-scale testing is therefore crucial, but is facing several challenges including shortage of sample collection tools and of molecular biological reagents, and the need for safe electronic communication of medical reports. We present the successful establishment of a holistic SARS-CoV-2 testing platform that covers proband registration, sample collection and shipment, sample testing, and report issuing. The RT-PCR-based virus detection, being central to the platform, was extensively validated: sensitivity and specificity were defined as 96.8% and 100%, respectively; intra-run and inter-run precision were <3%. A novel type of sample swab and an in-house-developed RNA extraction system were shown to perform as good as commercially available products. The resulting flexibility guarantees independence from the current bottlenecks in SARS-CoV-2 testing. Based on our technology, we offered testing at local, national, and global levels. In the present study, we report the results from approx. 18,000 SARS-CoV-2 tests in almost 10,000 individuals from a low-frequency SARS-CoV-2 pandemic area in a homogenous geographical region in north-eastern Germany for a period of 10 weeks (21 March to 31 May 2020). Among the probands, five SARS-CoV-2 positive cases were identified. Comparative analysis of corresponding virus genomes revealed a diverse origin from three of the five currently recognized SARS-CoV-2 phylogenetic clades. Our study exemplifies how preventive SARS-CoV-2 testing can be set up in a rapid and flexible manner. The application of our test has enabled a safe maintenance/resume of critical local infrastructure, e.g., nursing homes where more than 5000 elderlies and caretakers got tested. The strategy outlined by the present study may serve as a blueprint for the implementation of large-scale preventive SARS-CoV-2 testing elsewhere.

Dataset Information

Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing.

Publications

Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing.

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