One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort: A model for population-based monitoring of infection risk

Christine Klein; Max Borsche; Alexander Balck; Bandik Föh; Johann Rahmöller; Elke Peters; Jan Knickmann; Miranda Lane; Eva-Juliane Vollstedt; Susanne A Elsner; Nadja Käding; Susanne Hauswaldt; Tanja Lange; Jennifer E Hundt; Selina Lehrian; Julia Giese; Alexander Mischnik; Stefan Niemann; Florian Maurer; Susanne Homolka; Laura Paulowski; Jan Kramer; Christoph Twesten; Christian Sina; Gabriele Gillessen-Kaesbach; Hauke Busch; Marc Ehlers; Stefan Taube; Jan Rupp; Alexander Katalinic

doi:10.1126/sciadv.abm5016

One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort: A model for population-based monitoring of infection risk

Christine Klein, Max Borsche, Alexander Balck, Bandik Föh, Johann Rahmöller, Elke Peters, Jan Knickmann, Miranda Lane, Eva-Juliane Vollstedt, Susanne A Elsner, Nadja Käding, Susanne Hauswaldt, Tanja Lange, Jennifer E Hundt, Selina Lehrian, Julia Giese, Alexander Mischnik, Stefan Niemann, Florian Maurer, Susanne HomolkaLaura Paulowski, Jan Kramer, Christoph Twesten, Christian Sina, Gabriele Gillessen-Kaesbach, Hauke Busch, Marc Ehlers, Stefan Taube, Jan Rupp, Alexander Katalinic

18 Citations (Scopus)

Abstract

With newly rising coronavirus disease 2019 (COVID-19) cases, important data gaps remain on (i) long-term dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in fixed cohorts (ii) identification of risk factors, and (iii) establishment of effective surveillance strategies. By polymerase chain reaction and antibody testing of 1% of the local population and >90,000 app-based datasets, the present study surveilled a catchment area of 300,000 inhabitants from March 2020 to February 2021. Cohort (56% female; mean age, 45.6 years) retention was 75 to 98%. Increased risk for seropositivity was detected in several high-exposure groups, especially nurses. Unreported infections dropped from 92 to 29% during the study. "Contact to COVID-19-affected" was the strongest risk factor, whereas public transportation, having children in school, or tourism did not affect infection rates. With the first SARS-CoV-2 cohort study, we provide a transferable model for effective surveillance, enabling monitoring of reinfection rates and increased preparedness for future pandemics.

Original language	English
Article number	eabm5016
Journal	Science Advances
Volume	8
Issue number	15
DOIs	https://doi.org/10.1126/sciadv.abm5016
Publication status	Published - 15.04.2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 5 Gender Equality
SDG 9 Industry, Innovation, and Infrastructure
SDG 10 Reduced Inequalities
SDG 12 Responsible Consumption and Production

Research Areas and Centers

Academic Focus: Center for Infection and Inflammation Research (ZIEL)
Research Area: Center for Population Medicine and Public Health (ZBV)

DFG Research Classification Scheme

2.21-05 Immunology
2.22-02 Public Health, Healthcare Research, Social and Occupational Medicine

Coronavirus related work

Research on SARS-CoV-2 / COVID-19

Access to Document

10.1126/sciadv.abm5016

Cite this

Klein, C., Borsche, M., Balck, A., Föh, B., Rahmöller, J., Peters, E., Knickmann, J., Lane, M., Vollstedt, E.-J., Elsner, S. A., Käding, N., Hauswaldt, S., Lange, T., Hundt, J. E., Lehrian, S., Giese, J., Mischnik, A., Niemann, S., Maurer, F., ... Katalinic, A. (2022). One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort: A model for population-based monitoring of infection risk. Science Advances, 8(15), Article eabm5016. https://doi.org/10.1126/sciadv.abm5016

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title = "One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort: A model for population-based monitoring of infection risk",

abstract = "With newly rising coronavirus disease 2019 (COVID-19) cases, important data gaps remain on (i) long-term dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in fixed cohorts (ii) identification of risk factors, and (iii) establishment of effective surveillance strategies. By polymerase chain reaction and antibody testing of 1\% of the local population and >90,000 app-based datasets, the present study surveilled a catchment area of 300,000 inhabitants from March 2020 to February 2021. Cohort (56\% female; mean age, 45.6 years) retention was 75 to 98\%. Increased risk for seropositivity was detected in several high-exposure groups, especially nurses. Unreported infections dropped from 92 to 29\% during the study. {"}Contact to COVID-19-affected{"} was the strongest risk factor, whereas public transportation, having children in school, or tourism did not affect infection rates. With the first SARS-CoV-2 cohort study, we provide a transferable model for effective surveillance, enabling monitoring of reinfection rates and increased preparedness for future pandemics.",

author = "Christine Klein and Max Borsche and Alexander Balck and Bandik F{\"o}h and Johann Rahm{\"o}ller and Elke Peters and Jan Knickmann and Miranda Lane and Eva-Juliane Vollstedt and Elsner, \{Susanne A\} and Nadja K{\"a}ding and Susanne Hauswaldt and Tanja Lange and Hundt, \{Jennifer E\} and Selina Lehrian and Julia Giese and Alexander Mischnik and Stefan Niemann and Florian Maurer and Susanne Homolka and Laura Paulowski and Jan Kramer and Christoph Twesten and Christian Sina and Gabriele Gillessen-Kaesbach and Hauke Busch and Marc Ehlers and Stefan Taube and Jan Rupp and Alexander Katalinic",

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year = "2022",

month = apr,

day = "15",

doi = "10.1126/sciadv.abm5016",

language = "English",

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Klein, C , Borsche, M , Balck, A, Föh, B, Rahmöller, J, Peters, E, Knickmann, J, Lane, M, Vollstedt, E-J , Elsner, SA , Käding, N , Hauswaldt, S , Lange, T , Hundt, JE, Lehrian, S, Giese, J, Mischnik, A, Niemann, S, Maurer, F, Homolka, S, Paulowski, L, Kramer, J, Twesten, C, Sina, C, Gillessen-Kaesbach, G, Busch, H , Ehlers, M , Taube, S , Rupp, J & Katalinic, A 2022, 'One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort: A model for population-based monitoring of infection risk', Science Advances, vol. 8, no. 15, eabm5016. https://doi.org/10.1126/sciadv.abm5016

TY - JOUR

T1 - One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort

T2 - A model for population-based monitoring of infection risk

AU - Klein, Christine

AU - Borsche, Max

AU - Balck, Alexander

AU - Föh, Bandik

AU - Rahmöller, Johann

AU - Peters, Elke

AU - Knickmann, Jan

AU - Lane, Miranda

AU - Vollstedt, Eva-Juliane

AU - Elsner, Susanne A

AU - Käding, Nadja

AU - Hauswaldt, Susanne

AU - Lange, Tanja

AU - Hundt, Jennifer E

AU - Lehrian, Selina

AU - Giese, Julia

AU - Mischnik, Alexander

AU - Niemann, Stefan

AU - Maurer, Florian

AU - Homolka, Susanne

AU - Paulowski, Laura

AU - Kramer, Jan

AU - Twesten, Christoph

AU - Sina, Christian

AU - Gillessen-Kaesbach, Gabriele

AU - Busch, Hauke

AU - Ehlers, Marc

AU - Taube, Stefan

AU - Rupp, Jan

AU - Katalinic, Alexander

PY - 2022/4/15

Y1 - 2022/4/15

N2 - With newly rising coronavirus disease 2019 (COVID-19) cases, important data gaps remain on (i) long-term dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in fixed cohorts (ii) identification of risk factors, and (iii) establishment of effective surveillance strategies. By polymerase chain reaction and antibody testing of 1% of the local population and >90,000 app-based datasets, the present study surveilled a catchment area of 300,000 inhabitants from March 2020 to February 2021. Cohort (56% female; mean age, 45.6 years) retention was 75 to 98%. Increased risk for seropositivity was detected in several high-exposure groups, especially nurses. Unreported infections dropped from 92 to 29% during the study. "Contact to COVID-19-affected" was the strongest risk factor, whereas public transportation, having children in school, or tourism did not affect infection rates. With the first SARS-CoV-2 cohort study, we provide a transferable model for effective surveillance, enabling monitoring of reinfection rates and increased preparedness for future pandemics.

AB - With newly rising coronavirus disease 2019 (COVID-19) cases, important data gaps remain on (i) long-term dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in fixed cohorts (ii) identification of risk factors, and (iii) establishment of effective surveillance strategies. By polymerase chain reaction and antibody testing of 1% of the local population and >90,000 app-based datasets, the present study surveilled a catchment area of 300,000 inhabitants from March 2020 to February 2021. Cohort (56% female; mean age, 45.6 years) retention was 75 to 98%. Increased risk for seropositivity was detected in several high-exposure groups, especially nurses. Unreported infections dropped from 92 to 29% during the study. "Contact to COVID-19-affected" was the strongest risk factor, whereas public transportation, having children in school, or tourism did not affect infection rates. With the first SARS-CoV-2 cohort study, we provide a transferable model for effective surveillance, enabling monitoring of reinfection rates and increased preparedness for future pandemics.

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DO - 10.1126/sciadv.abm5016

M3 - Journal articles

C2 - 35427158

SN - 2375-2548

VL - 8

JO - Science Advances

JF - Science Advances

IS - 15

M1 - eabm5016

ER -

One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort: A model for population-based monitoring of infection risk

Abstract

UN SDGs

Research Areas and Centers

DFG Research Classification Scheme

Coronavirus related work

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