Frequency and risk of SARS-CoV-2 reinfections in Norway: a nation-wide study, February 2020 to January 2022
SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals an...
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Published in: | BMC public health Vol. 24; no. 1; p. 181 |
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Abstract | SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves.
We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities.
The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves.
Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices. |
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AbstractList | BACKGROUNDSARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves.METHODSWe used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities.RESULTSThe reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves.CONCLUSIONSReinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices. SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves. We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities. The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves. Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices. Background SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves. Methods We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities. Results The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves. Conclusions Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices. Keywords: Reinfections, Norway, SARS-CoV-2, COVID-19, Omicron SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves. We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities. The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves. Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices. Abstract Background SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves. Methods We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities. Results The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves. Conclusions Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices. |
ArticleNumber | 181 |
Audience | Academic |
Author | Bøås, Håkon Kristoffersen, Anja Bråthen Tapia, German Størdal, Ketil Veneti, Lamprini Lyngstad, Trude Marie Bragstad, Karoline Hungnes, Olav Løvlie, Astrid Louise Storm, Margrethe Larsdatter |
Author_xml | – sequence: 1 givenname: Håkon surname: Bøås fullname: Bøås, Håkon email: Hakon.Boas@fhi.no organization: Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway. Hakon.Boas@fhi.no – sequence: 2 givenname: Margrethe Larsdatter surname: Storm fullname: Storm, Margrethe Larsdatter organization: Department of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway – sequence: 3 givenname: German surname: Tapia fullname: Tapia, German organization: Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway – sequence: 4 givenname: Anja Bråthen surname: Kristoffersen fullname: Kristoffersen, Anja Bråthen organization: Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway – sequence: 5 givenname: Astrid Louise surname: Løvlie fullname: Løvlie, Astrid Louise organization: Department of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway – sequence: 6 givenname: Ketil surname: Størdal fullname: Størdal, Ketil organization: Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway – sequence: 7 givenname: Trude Marie surname: Lyngstad fullname: Lyngstad, Trude Marie organization: Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway – sequence: 8 givenname: Karoline surname: Bragstad fullname: Bragstad, Karoline organization: Department of Virology, Norwegian Institute of Public Health, Oslo, Norway – sequence: 9 givenname: Olav surname: Hungnes fullname: Hungnes, Olav organization: Department of Virology, Norwegian Institute of Public Health, Oslo, Norway – sequence: 10 givenname: Lamprini surname: Veneti fullname: Veneti, Lamprini organization: Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway |
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Cites_doi | 10.2807/1560-7917.ES.2022.27.4.2200077 10.1136/bmj.n1114 10.1186/s12916-022-02480-4 10.1016/j.jinf.2022.04.034 10.1016/j.ijid.2021.10.010 10.1007/s11845-022-03060-4 10.1073/pnas.2200592119 10.1016/S0140-6736(22)00090-3 10.2807/1560-7917.ES.2021.26.50.2101147 10.1186/s12879-022-07262-0 10.1016/j.hlpt.2022.100635 10.1056/NEJMc2200133 10.1111/eci.13845 10.1016/j.jinf.2022.01.012 10.2807/1560-7917.ES.2022.27.13.2200247 10.1016/j.cmi.2020.11.028 10.1001/jamanetworkopen.2022.25320 10.1093/cid/ciaa1275 10.1016/j.ijid.2021.12.321 10.1038/s41586-021-04389-z 10.1080/22221751.2022.2052358 10.1016/j.ijid.2023.03.004 10.1126/science.abn4947 10.1016/j.lanepe.2022.100453 10.1016/S0140-6736(22)02465-5 10.4045/tidsskr.20.0525 10.1002/jmv.25952 |
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References | S Medić (17695_CR6) 2022; 20 HN Altarawneh (17695_CR30) 2022; 386 J Starrfelt (17695_CR31) 2022; 20 LT Brandal (17695_CR14) 2021; 26 AM Syed (17695_CR27) 2022; 119 A Pottegård (17695_CR18) 2021; 373 NN Nguyen (17695_CR25) 2022; 85 17695_CR40 17695_CR41 17695_CR10 17695_CR11 17695_CR12 L Veneti (17695_CR19) 2023; 130 KB Spicer (17695_CR33) 2022; 114 17695_CR13 17695_CR35 17695_CR36 17695_CR15 17695_CR37 17695_CR16 C Kuhlmann (17695_CR29) 2022; 399 17695_CR38 17695_CR17 17695_CR39 D Planas (17695_CR28) 2021; 602 E Eythorsson (17695_CR5) 2022; 5 J Bastard (17695_CR4) 2022; 27 NN Nguyen (17695_CR7) 2022; 11 17695_CR21 17695_CR9 17695_CR22 17695_CR8 17695_CR23 17695_CR24 17695_CR2 I Skjesol (17695_CR20) 2022; 11 N Li (17695_CR34) 2020; 92 17695_CR26 C Stein (17695_CR42) 2023; 401 KK-W To (17695_CR1) 2020; 73 D Yahav (17695_CR3) 2021; 27 AA Mensah (17695_CR32) 2022; 84 |
References_xml | – ident: 17695_CR35 doi: 10.2807/1560-7917.ES.2022.27.4.2200077 – ident: 17695_CR38 – ident: 17695_CR13 – volume: 373 start-page: n1114 year: 2021 ident: 17695_CR18 publication-title: BMJ doi: 10.1136/bmj.n1114 contributor: fullname: A Pottegård – volume: 20 start-page: 278 issue: 1 year: 2022 ident: 17695_CR31 publication-title: BMC Med doi: 10.1186/s12916-022-02480-4 contributor: fullname: J Starrfelt – volume: 85 start-page: 174 issue: 2 year: 2022 ident: 17695_CR25 publication-title: J Infect doi: 10.1016/j.jinf.2022.04.034 contributor: fullname: NN Nguyen – volume: 114 start-page: 21 year: 2022 ident: 17695_CR33 publication-title: Int J Infect Dis doi: 10.1016/j.ijid.2021.10.010 contributor: fullname: KB Spicer – ident: 17695_CR24 doi: 10.1007/s11845-022-03060-4 – volume: 119 start-page: e2200592119 issue: 31 year: 2022 ident: 17695_CR27 publication-title: Proc Natl Acad Sci doi: 10.1073/pnas.2200592119 contributor: fullname: AM Syed – ident: 17695_CR11 – volume: 399 start-page: 625 issue: 10325 year: 2022 ident: 17695_CR29 publication-title: Lancet doi: 10.1016/S0140-6736(22)00090-3 contributor: fullname: C Kuhlmann – ident: 17695_CR36 – volume: 26 start-page: 2101147 issue: 50 year: 2021 ident: 17695_CR14 publication-title: Eurosurveillance doi: 10.2807/1560-7917.ES.2021.26.50.2101147 contributor: fullname: LT Brandal – ident: 17695_CR15 – ident: 17695_CR40 doi: 10.1186/s12879-022-07262-0 – volume: 11 start-page: 100635 issue: 2 year: 2022 ident: 17695_CR20 publication-title: Health Policy Technol doi: 10.1016/j.hlpt.2022.100635 contributor: fullname: I Skjesol – volume: 386 start-page: 1288 issue: 13 year: 2022 ident: 17695_CR30 publication-title: N Engl J Med doi: 10.1056/NEJMc2200133 contributor: fullname: HN Altarawneh – ident: 17695_CR21 – ident: 17695_CR23 – ident: 17695_CR2 doi: 10.1111/eci.13845 – ident: 17695_CR9 – volume: 84 start-page: 542 issue: 4 year: 2022 ident: 17695_CR32 publication-title: J Infect doi: 10.1016/j.jinf.2022.01.012 contributor: fullname: AA Mensah – volume: 27 start-page: 2200247 issue: 13 year: 2022 ident: 17695_CR4 publication-title: Eurosurveillance doi: 10.2807/1560-7917.ES.2022.27.13.2200247 contributor: fullname: J Bastard – volume: 27 start-page: 315 issue: 3 year: 2021 ident: 17695_CR3 publication-title: Clin Microbiol Infect doi: 10.1016/j.cmi.2020.11.028 contributor: fullname: D Yahav – ident: 17695_CR37 – ident: 17695_CR39 – volume: 5 start-page: e2225320 issue: 8 year: 2022 ident: 17695_CR5 publication-title: JAMA Network Open doi: 10.1001/jamanetworkopen.2022.25320 contributor: fullname: E Eythorsson – volume: 73 start-page: e2946 issue: 9 year: 2020 ident: 17695_CR1 publication-title: Clin Infect Dis doi: 10.1093/cid/ciaa1275 contributor: fullname: KK-W To – ident: 17695_CR12 – ident: 17695_CR17 doi: 10.1016/j.ijid.2021.12.321 – ident: 17695_CR16 – volume: 602 start-page: 671 issue: 7898 year: 2021 ident: 17695_CR28 publication-title: Nature doi: 10.1038/s41586-021-04389-z contributor: fullname: D Planas – volume: 11 start-page: 894 issue: 1 year: 2022 ident: 17695_CR7 publication-title: Emerg Microbes Infect doi: 10.1080/22221751.2022.2052358 contributor: fullname: NN Nguyen – volume: 130 start-page: 182 year: 2023 ident: 17695_CR19 publication-title: Int J Infect Dis doi: 10.1016/j.ijid.2023.03.004 contributor: fullname: L Veneti – ident: 17695_CR26 doi: 10.1126/science.abn4947 – volume: 20 start-page: 100453 year: 2022 ident: 17695_CR6 publication-title: Lancet Reg Health - Eur doi: 10.1016/j.lanepe.2022.100453 contributor: fullname: S Medić – volume: 401 start-page: 833 issue: 10379 year: 2023 ident: 17695_CR42 publication-title: Lancet doi: 10.1016/S0140-6736(22)02465-5 contributor: fullname: C Stein – ident: 17695_CR8 – ident: 17695_CR10 doi: 10.4045/tidsskr.20.0525 – ident: 17695_CR22 – volume: 92 start-page: 2286 issue: 11 year: 2020 ident: 17695_CR34 publication-title: J Med Virol doi: 10.1002/jmv.25952 contributor: fullname: N Li – ident: 17695_CR41 |
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Snippet | SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time... Background SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as... BackgroundSARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the... BACKGROUNDSARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the... Abstract Background SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as... |
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SubjectTerms | Age Aged Antigens Cohort analysis Comorbidity COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 vaccines Demographics Genomes Humans Immunity Infections Intervals Laboratories National identity Norway Norway - epidemiology Omicron Pandemics Regression models Reinfection - epidemiology Reinfections Retrospective Studies Risk assessment SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Surveillance Vaccination Viral diseases Waves |
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Title | Frequency and risk of SARS-CoV-2 reinfections in Norway: a nation-wide study, February 2020 to January 2022 |
URI | https://www.ncbi.nlm.nih.gov/pubmed/38225588 https://www.proquest.com/docview/2925600051 https://search.proquest.com/docview/2915569933 https://pubmed.ncbi.nlm.nih.gov/PMC10789014 https://doaj.org/article/d232808e3e5a4c009cc894dca655bc24 |
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