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Sulcebe G, Ylli A, Cenko F, Kurti-Prifti M, Shyti E, Dashi-Pasholli J, Lazri E, Seferi-Qendro I, Perry MJ. Dynamics of anti-SARS-CoV-2 antibodies in the Albanian population: Impact of infection- and vaccine-induced immunity during the COVID-19 pandemic. IJID REGIONS 2024; 13:100440. [PMID: 39386114 PMCID: PMC11462266 DOI: 10.1016/j.ijregi.2024.100440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/29/2024] [Accepted: 08/30/2024] [Indexed: 10/12/2024]
Abstract
Objectives Understanding immune response dynamics during the COVID-19 pandemic is crucial for optimizing future vaccine strategies. This study investigated the infection- and vaccine-induced SARS-CoV-2 antibody responses in the Albanian population from August 2021 to August 2022. Methods This used a cross-sectional approach, analyzing two independent, randomly selected population samples over 1 year. Participants' demographic, health, vaccination, and COVID-19 data were collected, with blood samples assessed via enzyme linked immunosorbent assay for immunoglobulin G class anti-spike and anti-nucleocapsid antibodies. Results By August 2022, all individuals receiving one vaccine dose achieved antibody levels comparable to those receiving two doses (median 7.71 index ratio [IR] vs 7.00 IR). In August 2021, those with previous COVID-19 infection receiving one vaccine dose showed median anti-spike immunoglobulin G levels of 7.22 IR compared with 4.84 IR in those without previous infection receiving two doses. However, individuals aged ≥61 years required two vaccine doses to achieve similar immune responses as younger individuals with one dose. Conclusions These findings underscore the importance of hybrid immunity, suggesting one vaccine dose may suffice for individuals with previous COVID-19 infection, whereas older adults require additional doses for optimal protection. This study provides insights into humoral immune response dynamics, which is crucial for refining COVID-19 vaccination strategies in middle-income countries with low vaccination coverage and high infection rates.
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Affiliation(s)
- Genc Sulcebe
- Research Center of Biotechnology and Genetics, Academy of Sciences of Albania, Tirana, Albania
- University of Medicine of Tirana, Tirana, Albania
| | - Alban Ylli
- University of Medicine of Tirana, Tirana, Albania
- Institute of Public Health, Tirana, Albania
| | - Fabian Cenko
- Catholic University “Our Lady of Good Counsel” Tirana, Tirana, Albania
| | - Margarita Kurti-Prifti
- Research Center of Biotechnology and Genetics, Academy of Sciences of Albania, Tirana, Albania
| | - Erkena Shyti
- Research Center of Biotechnology and Genetics, Academy of Sciences of Albania, Tirana, Albania
| | - Jonida Dashi-Pasholli
- Research Center of Biotechnology and Genetics, Academy of Sciences of Albania, Tirana, Albania
| | - Erina Lazri
- University of Medicine of Tirana, Tirana, Albania
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Corrao G, Porcu G, Tratsevich A, Cereda D, Pavesi G, Bertolaso G, Franchi M. Estimating All-Cause Deaths Averted in the First Two Years of the COVID-19 Vaccination Campaign in Italy. Vaccines (Basel) 2024; 12:413. [PMID: 38675795 PMCID: PMC11055119 DOI: 10.3390/vaccines12040413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/10/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Comparing deaths averted by vaccination campaigns is a crucial public health endeavour. Excess all-cause deaths better reflect the impact of the pandemic than COVID-19 deaths. We used a seasonal autoregressive integrated moving average with exogenous factors model to regress daily all-cause deaths on annual trend, seasonality, and environmental temperature in three Italian regions (Lombardy, Marche and Sicily) from 2015 to 2019. The model was used to forecast excess deaths during the vaccinal period (December 2020-October 2022). We used the prevented fraction to estimate excess deaths observed during the vaccinal campaigns, those which would have occurred without vaccination, and those averted by the campaigns. At the end of the vaccinal period, the Lombardy region proceeded with a more intensive COVID-19 vaccination campaign than other regions (on average, 1.82 doses per resident, versus 1.67 and 1.56 in Marche and Sicily, respectively). A higher prevented fraction of all-cause deaths was consistently found in Lombardy (65% avoided deaths, as opposed to 60% and 58% in Marche and Sicily). Nevertheless, because of a lower excess mortality rate found in Lombardy compared to Marche and Sicily (12, 24 and 23 per 10,000 person-years, respectively), a lower rate of averted deaths was observed (22 avoided deaths per 10,000 person-years, versus 36 and 32 in Marche and Sicily). In Lombardy, early and full implementation of adult COVID-19 vaccination was associated with the largest reduction in all-cause deaths compared to Marche and Sicily.
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Affiliation(s)
- Giovanni Corrao
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy; (G.C.); (A.T.); (M.F.)
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
| | - Gloria Porcu
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy; (G.C.); (A.T.); (M.F.)
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
- Specialization School of Health Statistics and Biometrics, University of Padua, 35131 Padua, Italy
| | - Alina Tratsevich
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy; (G.C.); (A.T.); (M.F.)
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
| | - Danilo Cereda
- Preventive Unit of Welfare Department, Lombardy Region, 20124 Milan, Italy;
| | - Giovanni Pavesi
- General Directorate of Welfare Department, Lombardy Region, 20124 Milan, Italy;
| | | | - Matteo Franchi
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy; (G.C.); (A.T.); (M.F.)
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
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Andeweg SP, Vennema H, Veldhuijzen I, Smorenburg N, Schmitz D, Zwagemaker F, van Gageldonk-Lafeber AB, Hahné SJM, Reusken C, Knol MJ, Eggink D. Elevated risk of infection with SARS-CoV-2 Beta, Gamma, and Delta variants compared with Alpha variant in vaccinated individuals. Sci Transl Med 2023; 15:eabn4338. [PMID: 35862508 PMCID: PMC9580257 DOI: 10.1126/scitranslmed.abn4338] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 07/08/2022] [Indexed: 12/22/2022]
Abstract
The extent to which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) break through infection- or vaccine-induced immunity is not well understood. We analyzed 28,578 sequenced SARS-CoV-2 samples from individuals with known immune status obtained through national community testing in the Netherlands from March to August 2021. We found evidence of an increased risk of infection by the Beta (B.1.351), Gamma (P.1), or Delta (B.1.617.2) variants compared with the Alpha (B.1.1.7) variant after vaccination. No clear differences were found between vaccines. However, the effect was larger in the first 14 to 59 days after complete vaccination compared with ≥60 days. In contrast to vaccine-induced immunity, there was no increased risk for reinfection with Beta, Gamma, or Delta variants relative to the Alpha variant in individuals with infection-induced immunity.
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Affiliation(s)
- Stijn P. Andeweg
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Harry Vennema
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Irene Veldhuijzen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Naomi Smorenburg
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Dennis Schmitz
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Florian Zwagemaker
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Arianne B. van Gageldonk-Lafeber
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Susan J. M. Hahné
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Chantal Reusken
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Mirjam J. Knol
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - Dirk Eggink
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
| | - SeqNeth Molecular surveillance group†
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3720 BA, Bilthoven, Netherlands
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Rossi MA, Cena T, Binala J, Alessi D, Scotti L, Faggiano F. Evaluation of the risk of SARS-CoV-2 infection and hospitalization in vaccinated and previously infected subjects based on real world data. Sci Rep 2023; 13:2018. [PMID: 36737460 PMCID: PMC9897610 DOI: 10.1038/s41598-023-28129-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023] Open
Abstract
The objective of our study was to determine the joint protective effect of a previous SARS-CoV-2 infection and vaccination on the risk of a new infection and hospitalization. Two case-control studies nested in a cohort of COVID-19 patients cared for by the Local Health Unit (LHU) of Vercelli, Italy, were performed, one to estimate the risk of infection and the second to estimate the risk of hospitalization. Each new infection and hospitalization was matched with up to 4 disease-free subjects who were the same age, sex and index date (i.e., controls). Study subjects were followed up from cohort entry date to disease outcome, end of follow-up or emigration. Vaccination was associated with a 36% (OR 0.64; 95%CI 0.62-0.66) and 90% (OR 0.10; 95%CI 0.07-0.14) reduction in the risk of infection and hospitalization, respectively. Prior infection was associated with a 65% (OR 0.35; 95%CI 0.30-0.40) and 90% (OR 0.10; 95%CI 0.07-0.14) reduction in the risk of infection and hospitalization, respectively. Vaccinated and recovered subjects showed a 63% (OR 0.37; 95%CI 0.34-0.14) and 98% (OR 0.02; 95%CI 0-0.13) reduction in the risk of infection and hospitalization, respectively. Vaccination remains an essential public health tool for preventing severe forms of COVID-19. Our study shows that vaccination or previous infection has a strong protective effect against Sars-CoV-2 hospitalization. The protective role against infection appears to be present although with a lower efficacy rate than that presented in the RCTs.
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Affiliation(s)
- Maicol Andrea Rossi
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
| | - Tiziana Cena
- Epidemiologic Unit of the Local Health Authority of Vercelli - Osservatorio Epidemiologico, ASL Vercelli, Vercelli, Italy
| | - Jefferson Binala
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Daniela Alessi
- Epidemiologic Unit of the Local Health Authority of Vercelli - Osservatorio Epidemiologico, ASL Vercelli, Vercelli, Italy
| | - Lorenza Scotti
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Fabrizio Faggiano
- Epidemiologic Unit of the Local Health Authority of Vercelli - Osservatorio Epidemiologico, ASL Vercelli, Vercelli, Italy.,Department of Sustainable Development and Ecological Transition, University of Piemonte Orientale, Vercelli, Italy
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Özüdoğru O, Bahçe YG, Acer Ö. SARS CoV-2 reinfection rate is higher in the Omicron variant than in the Alpha and Delta variants. Ir J Med Sci 2022; 192:751-756. [PMID: 35711013 PMCID: PMC9203229 DOI: 10.1007/s11845-022-03060-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/07/2022] [Indexed: 12/19/2022]
Abstract
Background and objectives Many mutations in variants for instance Delta and Alpha are associated with immune evasion and higher infectious potential. There are uncertainties regarding Omicron. In this regard, we aimed to compare the frequency of reinfection of SARS CoV-2 variants in our hospital between April 22, 2021 and January 26, 2022. Method The reinfection rates and demographic characteristics of a total of 27,487 COVID-19 patients infected with different SARS CoV-2 variants were examined. Results Reinfection was found in 26 (0.46%) of 5554 Alpha, 209 (1.16%) of 17,941 Delta, and 520 (13.0%) of 3992 Omicron variants. A statistically significant difference was observed between the reinfection rates of the variants (p = 0.000). The mean reinfection days were calculated as 204.4 ± 51.1 in the Alpha variant, 291.2 ± 58.2 in the Delta variant, and 361.2 ± 131.6 in the Omicron variant (p = 0.000). It was observed that 16.5% of reinfection cases caught COVID-19 for the second time 3–6 months after the first COVID-19 infection, 36.7% after 6–12 months, and 46.8% after more than 12 months. There was a significant difference between the times in reinfection cases. Most reinfections occurred more than 12 months apart. Among those with a reinfection time > 12 months, 0% had Alpha, 3.4% had Delta, and 96.6% had Omicron variants. Conclusion The highest reinfection rate was observed in the Omicron variant. Reinfection was approximately 30 times more frequent in the Omicron variant than in the Alpha variant and 10 times more frequent in the Delta variant.
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Affiliation(s)
- Osman Özüdoğru
- Department of Internal Medicine, Medical Faculty, Siirt University, Siirt, 56100, Turkey
| | - Yasemin Genç Bahçe
- Microbiology Laboratory, Siirt Training and Research Hospital, Siirt, 56100, Turkey
| | - Ömer Acer
- Department of Medical Microbiology, Medical Faculty, Siirt University, Siirt, 56100, Turkey.
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