From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany)
Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Katja Radon [verfasserIn] Abhishek Bakuli [verfasserIn] Peter Pütz [verfasserIn] Ronan Le Gleut [verfasserIn] Jessica Michelle Guggenbuehl Noller [verfasserIn] Laura Olbrich [verfasserIn] Elmar Saathoff [verfasserIn] Mercè Garí [verfasserIn] Yannik Schälte [verfasserIn] Turid Frahnow [verfasserIn] Roman Wölfel [verfasserIn] Michael Pritsch [verfasserIn] Camilla Rothe [verfasserIn] Michel Pletschette [verfasserIn] Raquel Rubio-Acero [verfasserIn] Jessica Beyerl [verfasserIn] Dafni Metaxa [verfasserIn] Felix Forster [verfasserIn] Verena Thiel [verfasserIn] Noemi Castelletti [verfasserIn] Friedrich Rieß [verfasserIn] Maximilian N. Diefenbach [verfasserIn] Günter Fröschl [verfasserIn] Jan Bruger [verfasserIn] Simon Winter [verfasserIn] Jonathan Frese [verfasserIn] Kerstin Puchinger [verfasserIn] Isabel Brand [verfasserIn] Inge Kroidl [verfasserIn] Andreas Wieser [verfasserIn] Michael Hoelscher [verfasserIn] Jan Hasenauer [verfasserIn] Christiane Fuchs [verfasserIn] the KoCo19 study group [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Übergeordnetes Werk: |
In: BMC Infectious Diseases - BMC, 2003, 21(2021), 1, Seite 15 |
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| Übergeordnetes Werk: |
volume:21 ; year:2021 ; number:1 ; pages:15 |
| Links: |
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| DOI / URN: |
10.1186/s12879-021-06589-4 |
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| Katalog-ID: |
DOAJ049359150 |
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| 245 | 1 | 0 | |a From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) |
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| 520 | |a Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. | ||
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a SARS-CoV-2 | |
| 650 | 4 | |a Population-based cohort study | |
| 650 | 4 | |a Sero-prevalence | |
| 650 | 4 | |a Sero-incidence | |
| 650 | 4 | |a ORCHESTRA | |
| 653 | 0 | |a Infectious and parasitic diseases | |
| 700 | 0 | |a Abhishek Bakuli |e verfasserin |4 aut | |
| 700 | 0 | |a Peter Pütz |e verfasserin |4 aut | |
| 700 | 0 | |a Ronan Le Gleut |e verfasserin |4 aut | |
| 700 | 0 | |a Jessica Michelle Guggenbuehl Noller |e verfasserin |4 aut | |
| 700 | 0 | |a Laura Olbrich |e verfasserin |4 aut | |
| 700 | 0 | |a Elmar Saathoff |e verfasserin |4 aut | |
| 700 | 0 | |a Mercè Garí |e verfasserin |4 aut | |
| 700 | 0 | |a Yannik Schälte |e verfasserin |4 aut | |
| 700 | 0 | |a Turid Frahnow |e verfasserin |4 aut | |
| 700 | 0 | |a Roman Wölfel |e verfasserin |4 aut | |
| 700 | 0 | |a Michael Pritsch |e verfasserin |4 aut | |
| 700 | 0 | |a Camilla Rothe |e verfasserin |4 aut | |
| 700 | 0 | |a Michel Pletschette |e verfasserin |4 aut | |
| 700 | 0 | |a Raquel Rubio-Acero |e verfasserin |4 aut | |
| 700 | 0 | |a Jessica Beyerl |e verfasserin |4 aut | |
| 700 | 0 | |a Dafni Metaxa |e verfasserin |4 aut | |
| 700 | 0 | |a Felix Forster |e verfasserin |4 aut | |
| 700 | 0 | |a Verena Thiel |e verfasserin |4 aut | |
| 700 | 0 | |a Noemi Castelletti |e verfasserin |4 aut | |
| 700 | 0 | |a Friedrich Rieß |e verfasserin |4 aut | |
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| 700 | 0 | |a Simon Winter |e verfasserin |4 aut | |
| 700 | 0 | |a Jonathan Frese |e verfasserin |4 aut | |
| 700 | 0 | |a Kerstin Puchinger |e verfasserin |4 aut | |
| 700 | 0 | |a Isabel Brand |e verfasserin |4 aut | |
| 700 | 0 | |a Inge Kroidl |e verfasserin |4 aut | |
| 700 | 0 | |a Andreas Wieser |e verfasserin |4 aut | |
| 700 | 0 | |a Michael Hoelscher |e verfasserin |4 aut | |
| 700 | 0 | |a Jan Hasenauer |e verfasserin |4 aut | |
| 700 | 0 | |a Christiane Fuchs |e verfasserin |4 aut | |
| 700 | 0 | |a the KoCo19 study group |e verfasserin |4 aut | |
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10.1186/s12879-021-06589-4 doi (DE-627)DOAJ049359150 (DE-599)DOAJdd2337692f8d434b997443c88d639d51 DE-627 ger DE-627 rakwb eng RC109-216 Katja Radon verfasserin aut From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. COVID-19 SARS-CoV-2 Population-based cohort study Sero-prevalence Sero-incidence ORCHESTRA Infectious and parasitic diseases Abhishek Bakuli verfasserin aut Peter Pütz verfasserin aut Ronan Le Gleut verfasserin aut Jessica Michelle Guggenbuehl Noller verfasserin aut Laura Olbrich verfasserin aut Elmar Saathoff verfasserin aut Mercè Garí verfasserin aut Yannik Schälte verfasserin aut Turid Frahnow verfasserin aut Roman Wölfel verfasserin aut Michael Pritsch verfasserin aut Camilla Rothe verfasserin aut Michel Pletschette verfasserin aut Raquel Rubio-Acero verfasserin aut Jessica Beyerl verfasserin aut Dafni Metaxa verfasserin aut Felix Forster verfasserin aut Verena Thiel verfasserin aut Noemi Castelletti verfasserin aut Friedrich Rieß verfasserin aut Maximilian N. Diefenbach verfasserin aut Günter Fröschl verfasserin aut Jan Bruger verfasserin aut Simon Winter verfasserin aut Jonathan Frese verfasserin aut Kerstin Puchinger verfasserin aut Isabel Brand verfasserin aut Inge Kroidl verfasserin aut Andreas Wieser verfasserin aut Michael Hoelscher verfasserin aut Jan Hasenauer verfasserin aut Christiane Fuchs verfasserin aut the KoCo19 study group verfasserin aut In BMC Infectious Diseases BMC, 2003 21(2021), 1, Seite 15 (DE-627)326645381 (DE-600)2041550-3 14712334 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/article/dd2337692f8d434b997443c88d639d51 kostenfrei https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/toc/1471-2334 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 15 |
| spelling |
10.1186/s12879-021-06589-4 doi (DE-627)DOAJ049359150 (DE-599)DOAJdd2337692f8d434b997443c88d639d51 DE-627 ger DE-627 rakwb eng RC109-216 Katja Radon verfasserin aut From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. COVID-19 SARS-CoV-2 Population-based cohort study Sero-prevalence Sero-incidence ORCHESTRA Infectious and parasitic diseases Abhishek Bakuli verfasserin aut Peter Pütz verfasserin aut Ronan Le Gleut verfasserin aut Jessica Michelle Guggenbuehl Noller verfasserin aut Laura Olbrich verfasserin aut Elmar Saathoff verfasserin aut Mercè Garí verfasserin aut Yannik Schälte verfasserin aut Turid Frahnow verfasserin aut Roman Wölfel verfasserin aut Michael Pritsch verfasserin aut Camilla Rothe verfasserin aut Michel Pletschette verfasserin aut Raquel Rubio-Acero verfasserin aut Jessica Beyerl verfasserin aut Dafni Metaxa verfasserin aut Felix Forster verfasserin aut Verena Thiel verfasserin aut Noemi Castelletti verfasserin aut Friedrich Rieß verfasserin aut Maximilian N. Diefenbach verfasserin aut Günter Fröschl verfasserin aut Jan Bruger verfasserin aut Simon Winter verfasserin aut Jonathan Frese verfasserin aut Kerstin Puchinger verfasserin aut Isabel Brand verfasserin aut Inge Kroidl verfasserin aut Andreas Wieser verfasserin aut Michael Hoelscher verfasserin aut Jan Hasenauer verfasserin aut Christiane Fuchs verfasserin aut the KoCo19 study group verfasserin aut In BMC Infectious Diseases BMC, 2003 21(2021), 1, Seite 15 (DE-627)326645381 (DE-600)2041550-3 14712334 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/article/dd2337692f8d434b997443c88d639d51 kostenfrei https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/toc/1471-2334 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 15 |
| allfields_unstemmed |
10.1186/s12879-021-06589-4 doi (DE-627)DOAJ049359150 (DE-599)DOAJdd2337692f8d434b997443c88d639d51 DE-627 ger DE-627 rakwb eng RC109-216 Katja Radon verfasserin aut From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. COVID-19 SARS-CoV-2 Population-based cohort study Sero-prevalence Sero-incidence ORCHESTRA Infectious and parasitic diseases Abhishek Bakuli verfasserin aut Peter Pütz verfasserin aut Ronan Le Gleut verfasserin aut Jessica Michelle Guggenbuehl Noller verfasserin aut Laura Olbrich verfasserin aut Elmar Saathoff verfasserin aut Mercè Garí verfasserin aut Yannik Schälte verfasserin aut Turid Frahnow verfasserin aut Roman Wölfel verfasserin aut Michael Pritsch verfasserin aut Camilla Rothe verfasserin aut Michel Pletschette verfasserin aut Raquel Rubio-Acero verfasserin aut Jessica Beyerl verfasserin aut Dafni Metaxa verfasserin aut Felix Forster verfasserin aut Verena Thiel verfasserin aut Noemi Castelletti verfasserin aut Friedrich Rieß verfasserin aut Maximilian N. Diefenbach verfasserin aut Günter Fröschl verfasserin aut Jan Bruger verfasserin aut Simon Winter verfasserin aut Jonathan Frese verfasserin aut Kerstin Puchinger verfasserin aut Isabel Brand verfasserin aut Inge Kroidl verfasserin aut Andreas Wieser verfasserin aut Michael Hoelscher verfasserin aut Jan Hasenauer verfasserin aut Christiane Fuchs verfasserin aut the KoCo19 study group verfasserin aut In BMC Infectious Diseases BMC, 2003 21(2021), 1, Seite 15 (DE-627)326645381 (DE-600)2041550-3 14712334 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/article/dd2337692f8d434b997443c88d639d51 kostenfrei https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/toc/1471-2334 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 15 |
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10.1186/s12879-021-06589-4 doi (DE-627)DOAJ049359150 (DE-599)DOAJdd2337692f8d434b997443c88d639d51 DE-627 ger DE-627 rakwb eng RC109-216 Katja Radon verfasserin aut From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. COVID-19 SARS-CoV-2 Population-based cohort study Sero-prevalence Sero-incidence ORCHESTRA Infectious and parasitic diseases Abhishek Bakuli verfasserin aut Peter Pütz verfasserin aut Ronan Le Gleut verfasserin aut Jessica Michelle Guggenbuehl Noller verfasserin aut Laura Olbrich verfasserin aut Elmar Saathoff verfasserin aut Mercè Garí verfasserin aut Yannik Schälte verfasserin aut Turid Frahnow verfasserin aut Roman Wölfel verfasserin aut Michael Pritsch verfasserin aut Camilla Rothe verfasserin aut Michel Pletschette verfasserin aut Raquel Rubio-Acero verfasserin aut Jessica Beyerl verfasserin aut Dafni Metaxa verfasserin aut Felix Forster verfasserin aut Verena Thiel verfasserin aut Noemi Castelletti verfasserin aut Friedrich Rieß verfasserin aut Maximilian N. Diefenbach verfasserin aut Günter Fröschl verfasserin aut Jan Bruger verfasserin aut Simon Winter verfasserin aut Jonathan Frese verfasserin aut Kerstin Puchinger verfasserin aut Isabel Brand verfasserin aut Inge Kroidl verfasserin aut Andreas Wieser verfasserin aut Michael Hoelscher verfasserin aut Jan Hasenauer verfasserin aut Christiane Fuchs verfasserin aut the KoCo19 study group verfasserin aut In BMC Infectious Diseases BMC, 2003 21(2021), 1, Seite 15 (DE-627)326645381 (DE-600)2041550-3 14712334 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/article/dd2337692f8d434b997443c88d639d51 kostenfrei https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/toc/1471-2334 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 15 |
| allfieldsSound |
10.1186/s12879-021-06589-4 doi (DE-627)DOAJ049359150 (DE-599)DOAJdd2337692f8d434b997443c88d639d51 DE-627 ger DE-627 rakwb eng RC109-216 Katja Radon verfasserin aut From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. COVID-19 SARS-CoV-2 Population-based cohort study Sero-prevalence Sero-incidence ORCHESTRA Infectious and parasitic diseases Abhishek Bakuli verfasserin aut Peter Pütz verfasserin aut Ronan Le Gleut verfasserin aut Jessica Michelle Guggenbuehl Noller verfasserin aut Laura Olbrich verfasserin aut Elmar Saathoff verfasserin aut Mercè Garí verfasserin aut Yannik Schälte verfasserin aut Turid Frahnow verfasserin aut Roman Wölfel verfasserin aut Michael Pritsch verfasserin aut Camilla Rothe verfasserin aut Michel Pletschette verfasserin aut Raquel Rubio-Acero verfasserin aut Jessica Beyerl verfasserin aut Dafni Metaxa verfasserin aut Felix Forster verfasserin aut Verena Thiel verfasserin aut Noemi Castelletti verfasserin aut Friedrich Rieß verfasserin aut Maximilian N. Diefenbach verfasserin aut Günter Fröschl verfasserin aut Jan Bruger verfasserin aut Simon Winter verfasserin aut Jonathan Frese verfasserin aut Kerstin Puchinger verfasserin aut Isabel Brand verfasserin aut Inge Kroidl verfasserin aut Andreas Wieser verfasserin aut Michael Hoelscher verfasserin aut Jan Hasenauer verfasserin aut Christiane Fuchs verfasserin aut the KoCo19 study group verfasserin aut In BMC Infectious Diseases BMC, 2003 21(2021), 1, Seite 15 (DE-627)326645381 (DE-600)2041550-3 14712334 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/article/dd2337692f8d434b997443c88d639d51 kostenfrei https://doi.org/10.1186/s12879-021-06589-4 kostenfrei https://doaj.org/toc/1471-2334 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 15 |
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Katja Radon @@aut@@ Abhishek Bakuli @@aut@@ Peter Pütz @@aut@@ Ronan Le Gleut @@aut@@ Jessica Michelle Guggenbuehl Noller @@aut@@ Laura Olbrich @@aut@@ Elmar Saathoff @@aut@@ Mercè Garí @@aut@@ Yannik Schälte @@aut@@ Turid Frahnow @@aut@@ Roman Wölfel @@aut@@ Michael Pritsch @@aut@@ Camilla Rothe @@aut@@ Michel Pletschette @@aut@@ Raquel Rubio-Acero @@aut@@ Jessica Beyerl @@aut@@ Dafni Metaxa @@aut@@ Felix Forster @@aut@@ Verena Thiel @@aut@@ Noemi Castelletti @@aut@@ Friedrich Rieß @@aut@@ Maximilian N. Diefenbach @@aut@@ Günter Fröschl @@aut@@ Jan Bruger @@aut@@ Simon Winter @@aut@@ Jonathan Frese @@aut@@ Kerstin Puchinger @@aut@@ Isabel Brand @@aut@@ Inge Kroidl @@aut@@ Andreas Wieser @@aut@@ Michael Hoelscher @@aut@@ Jan Hasenauer @@aut@@ Christiane Fuchs @@aut@@ the KoCo19 study group @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ049359150</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308142820.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12879-021-06589-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ049359150</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJdd2337692f8d434b997443c88d639d51</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC109-216</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Katja Radon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. 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Katja Radon misc RC109-216 misc COVID-19 misc SARS-CoV-2 misc Population-based cohort study misc Sero-prevalence misc Sero-incidence misc ORCHESTRA misc Infectious and parasitic diseases From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) |
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RC109-216 From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) COVID-19 SARS-CoV-2 Population-based cohort study Sero-prevalence Sero-incidence ORCHESTRA |
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Katja Radon Abhishek Bakuli Peter Pütz Ronan Le Gleut Jessica Michelle Guggenbuehl Noller Laura Olbrich Elmar Saathoff Mercè Garí Yannik Schälte Turid Frahnow Roman Wölfel Michael Pritsch Camilla Rothe Michel Pletschette Raquel Rubio-Acero Jessica Beyerl Dafni Metaxa Felix Forster Verena Thiel Noemi Castelletti Friedrich Rieß Maximilian N. Diefenbach Günter Fröschl Jan Bruger Simon Winter Jonathan Frese Kerstin Puchinger Isabel Brand Inge Kroidl Andreas Wieser Michael Hoelscher Jan Hasenauer Christiane Fuchs the KoCo19 study group |
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from first to second wave: follow-up of the prospective covid-19 cohort (koco19) in munich (germany) |
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RC109-216 |
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From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) |
| abstract |
Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. |
| abstractGer |
Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. |
| abstract_unstemmed |
Abstract Background In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021. Methods The KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020. Results Weighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9–4.3%) as compared to 1.8% (95% CI 1.3–3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20–34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences. Conclusion The number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important. |
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From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) |
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https://doi.org/10.1186/s12879-021-06589-4 https://doaj.org/article/dd2337692f8d434b997443c88d639d51 https://doaj.org/toc/1471-2334 |
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Abhishek Bakuli Peter Pütz Ronan Le Gleut Jessica Michelle Guggenbuehl Noller Laura Olbrich Elmar Saathoff Mercè Garí Yannik Schälte Turid Frahnow Roman Wölfel Michael Pritsch Camilla Rothe Michel Pletschette Raquel Rubio-Acero Jessica Beyerl Dafni Metaxa Felix Forster Verena Thiel Noemi Castelletti Friedrich Rieß Maximilian N. Diefenbach Günter Fröschl Jan Bruger Simon Winter Jonathan Frese Kerstin Puchinger Isabel Brand Inge Kroidl Andreas Wieser Michael Hoelscher Jan Hasenauer Christiane Fuchs the KoCo19 study group |
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Abhishek Bakuli Peter Pütz Ronan Le Gleut Jessica Michelle Guggenbuehl Noller Laura Olbrich Elmar Saathoff Mercè Garí Yannik Schälte Turid Frahnow Roman Wölfel Michael Pritsch Camilla Rothe Michel Pletschette Raquel Rubio-Acero Jessica Beyerl Dafni Metaxa Felix Forster Verena Thiel Noemi Castelletti Friedrich Rieß Maximilian N. Diefenbach Günter Fröschl Jan Bruger Simon Winter Jonathan Frese Kerstin Puchinger Isabel Brand Inge Kroidl Andreas Wieser Michael Hoelscher Jan Hasenauer Christiane Fuchs the KoCo19 study group |
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10.1186/s12879-021-06589-4 |
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2024-07-03T22:56:09.150Z |
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| score |
7.4006968 |