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Olariu TR, Ursoniu S, Craciun AC, Dumitrascu V, Vlad DC, Olariu AT, Mihu AG, Lupu MA. SARS-CoV-2 seroprevalence and associated risk factors in adult outpatients from Western Romania, January to March 2023: a seroepidemiological assessment after three years of COVID-19 pandemic. Infect Dis (Lond) 2025; 57:464-474. [PMID: 39964283 DOI: 10.1080/23744235.2025.2464864] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 02/01/2025] [Accepted: 02/03/2025] [Indexed: 04/29/2025] Open
Abstract
BACKGROUND The seroprevalence of SARS-CoV-2 infection may be assessed using serologic tests to determine the presence of specific antibodies. This study evaluated the prevalence of SARS-CoV-2 nucleocapsid antibodies and the potential risk factors associated to seroprevalence in adult outpatients from Western Romania. METHODS We investigated 2089 consecutive adult outpatients for the presence of SARS-CoV-2 nucleocapsid antibodies, by using the Elecsys anti-SARS-CoV-2 electrochemiluminescence immunoassay. Study participants were residents of Timis County, Western Romania, who presented for routine laboratory investigations at the Municipal and County Clinical Emergency Hospitals Outpatient Clinics between 17 January 2023 - 14 March 2023. Participants completed an epidemiological questionnaire, including their medical history. RESULTS The overall SARS-CoV-2 seroprevalence was 88.37% (1846/2089) and was not significantly associated with gender and area of residence. Of 1846 study participants with detectable SARS-CoV-2 antibodies, 904 (48.97%) reported no SARS-CoV-2 infection before the collection date, indicating that these individuals didn't know that they were previously infected. Of the 992 adult outpatients with history of COVID-19, 50 (5.04%) had no detectable SARS-CoV-2 nucleocapsid antibodies. Results of the serologic tests and responses to the questionnaire revealed that 1896 (90.76%) of the 2089 participants were infected with SARS-CoV-2. The multivariate logistic regression analysis revealed that SARS-CoV-2 seroprevalence was associated with age, associated cancer disease, smoking status, number of COVID-19 vaccine doses received and number of previously diagnosed SARS-CoV-2 infections. Overall, no significant difference in SARS-CoV-2 seroprevalence was observed between healthy participants (89.23%, 853/956) compared to adult outpatients with associated chronic diseases (87.64%, 993/1133) (p = 0.26). CONCLUSIONS This study provides evidence of the high prevalence of SARS-CoV-2 infection. After three years of COVID-19 pandemic, 9 in 10 Romanian adults were previously infected, before or after vaccination, with the highest rates of infection in unvaccinated individuals and the lowest among vaccinated persons with a booster. Our results confirm that vaccination remains a highly effective measure to prevent SARS-CoV-2 infection.
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Affiliation(s)
- Tudor Rares Olariu
- Discipline of Parasitology, Department of Infectious Diseases, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
- Clinical Laboratory, Municipal Clinical Emergency Hospital, Timisoara, Romania
- Center for Diagnosis and Study of Parasitic Diseases, Timisoara, Romania
- Patogen Preventia, Timisoara, Romania
| | - Sorin Ursoniu
- Discipline of Public Health, Department of Functional Sciences, Center for Translational Research and Systems Medicine, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | | | - Victor Dumitrascu
- Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
- Clinical Laboratory, County Clinical Emergency Teaching Hospital, Timisoara, Romania
| | - Daliborca Cristina Vlad
- Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
- Clinical Laboratory, County Clinical Emergency Teaching Hospital, Timisoara, Romania
| | | | - Alin Gabriel Mihu
- Patogen Preventia, Timisoara, Romania
- Department of Biology and Life Sciences, Vasile Goldis Western University, Arad, Romania
| | - Maria Alina Lupu
- Discipline of Parasitology, Department of Infectious Diseases, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
- Center for Diagnosis and Study of Parasitic Diseases, Timisoara, Romania
- Patogen Preventia, Timisoara, Romania
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Ezzikouri S, Tajudeen R, Majidi H, Redwane S, Aqillouch S, Abdulaziz M, Aragaw M, Papa Fallah M, Sembuche S, Batcho S, Kabwe P, Gonese E, Laazaazia O, Elmessaoudi-Idrissi M, Meziane N, Ainahi A, Sarih M, Ogwell Ouma AE, Maaroufi A. Seroepidemiological assessment of SARS-CoV-2 vaccine responsiveness and associated factors in the vaccinated community of the Casablanca-Settat Region, Morocco. Sci Rep 2024; 14:7817. [PMID: 38570577 PMCID: PMC10991243 DOI: 10.1038/s41598-024-58498-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 03/29/2024] [Indexed: 04/05/2024] Open
Abstract
Assessing the prevalence of SARS-CoV-2 IgG positivity through population-based serological surveys is crucial for monitoring COVID-19 vaccination efforts. In this study, we evaluated SARS-CoV-2 IgG positivity within a provincial cohort to understand the magnitude of the humoral response against the SARS-CoV-2 vaccine and to inform evidence-based public health decisions. A community-based cross-sectional seroprevalence study was conducted, involving 10,669 participants who received various vaccines (two doses for BBIBP-CorV/Sinopharm, Covishield vaccine, and Pfizer/BioNTech, and one dose for Johnson & Johnson's Janssen COVID-19 vaccine). The study spanned 16 provinces in the Casablanca-Settat region from February to June 2022, during which comprehensive demographic and comorbidity data were collected. We screened samples for the presence of IgG antibodies using the SARS-CoV-2 IgG II Quant assay, which quantifies antibodies against the receptor-binding domain (RBD) of the spike (S) protein, measured on the Abbott Architect i2000SR. The overall crude seroprevalence was 96% (95% CI: 95.6-96.3%), and after adjustment for assay performance, it was estimated as 96.2% (95% CI: 95.7-96.6). The adjusted overall seroprevalences according to vaccine brands showed no significant difference (96% for BBIBP-CorV/Sinopharm, 97% for ChAdOx1 nCoV-19/Oxford/AstraZeneca, 98.5% for BNT162b2/Pfizer-BioNTech, and 98% for Janssen) (p = 0.099). Participants of older age, female sex, those with a history of previous COVID-19 infection, and those with certain chronic diseases were more likely to be seropositive among ChAdOx1 nCoV-19/Oxford/AstraZeneca and BBIBP-CorV/Sinopharm vaccinee groups. Median RBD antibody concentrations were 2355 AU/mL, 3714 AU/mL, 5838 AU/mL, and 2495 AU/mL, respectively, after two doses of BBIBP-CorV/Sinopharm, ChAdOx1 nCoV-19/Oxford/AstraZeneca, BNT162b2/Pfizer-BioNTech, and after one dose of Janssen (p < 0.0001). Furthermore, we observed that participants vaccinated with ChAdOx1 nCoV-19/Oxford/AstraZeneca and BBIBP-CorV/Sinopharm with comorbid chronic diseases exhibited a more pronounced response to vaccination compared to those without comorbidities. In contrast, no significant differences were observed among Pfizer-vaccinated participants (p > 0.05). In conclusion, our serosurvey findings indicate that all four investigated vaccines provide a robust humoral immune response in the majority of participants (more than 96% of participants had antibodies against SARS-CoV-2). The BNT162b2 vaccine was found to be effective in eliciting a strong humoral response compared to the other three vaccines. However, challenges still remain in examining the dynamics and durability of immunoprotection in the Moroccan context.
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Affiliation(s)
- Sayeh Ezzikouri
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, 1 Place Louis Pasteur, 20360, Casablanca, Morocco.
| | - Raji Tajudeen
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Hind Majidi
- Ministry of Health and Social Protection, Rabat, Morocco
| | - Soad Redwane
- Direction Régionale de la santé Casablanca-Settat, Observatoire régional de santé, Casablanca, Morocco
| | - Safaa Aqillouch
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, 1 Place Louis Pasteur, 20360, Casablanca, Morocco
| | - Mohammed Abdulaziz
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Merawi Aragaw
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Mosoka Papa Fallah
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Senga Sembuche
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Serge Batcho
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Patrick Kabwe
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Elizabeth Gonese
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Oumaima Laazaazia
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, 1 Place Louis Pasteur, 20360, Casablanca, Morocco
| | - Mohcine Elmessaoudi-Idrissi
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, 1 Place Louis Pasteur, 20360, Casablanca, Morocco
| | - Nadia Meziane
- Centre Régional de Transfusion Sanguine, Casablanca, Morocco
| | - Abdelhakim Ainahi
- Hormonology and Tumor Markers Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - M'hammed Sarih
- Service de Parasitologie et des Maladies Vectorielles, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Ahmed E Ogwell Ouma
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Abderrahmane Maaroufi
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, 1 Place Louis Pasteur, 20360, Casablanca, Morocco
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Ribeiro M, Azevedo L, Santos AP, Pinto Leite P, Pereira MJ. Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022. PLoS One 2024; 19:e0297772. [PMID: 38300912 PMCID: PMC10833534 DOI: 10.1371/journal.pone.0297772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/12/2024] [Indexed: 02/03/2024] Open
Abstract
During the SARS-CoV-2 pandemic, governments and public health authorities collected massive amounts of data on daily confirmed positive cases and incidence rates. These data sets provide relevant information to develop a scientific understanding of the pandemic's spatiotemporal dynamics. At the same time, there is a lack of comprehensive approaches to describe and classify patterns underlying the dynamics of COVID-19 incidence across regions over time. This seriously constrains the potential benefits for public health authorities to understand spatiotemporal patterns of disease incidence that would allow for better risk communication strategies and improved assessment of mitigation policies efficacy. Within this context, we propose an exploratory statistical tool that combines functional data analysis with unsupervised learning algorithms to extract meaningful information about the main spatiotemporal patterns underlying COVID-19 incidence on mainland Portugal. We focus on the timeframe spanning from August 2020 to March 2022, considering data at the municipality level. First, we describe the temporal evolution of confirmed daily COVID-19 cases by municipality as a function of time, and outline the main temporal patterns of variability using a functional principal component analysis. Then, municipalities are classified according to their spatiotemporal similarities through hierarchical clustering adapted to spatially correlated functional data. Our findings reveal disparities in disease dynamics between northern and coastal municipalities versus those in the southern and hinterland. We also distinguish effects occurring during the 2020-2021 period from those in the 2021-2022 autumn-winter seasons. The results provide proof-of-concept that the proposed approach can be used to detect the main spatiotemporal patterns of disease incidence. The novel approach expands and enhances existing exploratory tools for spatiotemporal analysis of public health data.
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Affiliation(s)
- Manuel Ribeiro
- CERENA, DER, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Leonardo Azevedo
- CERENA, DER, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - André Peralta Santos
- Direção de Serviços de Informação e Análise, Direção-Geral da Saúde, Lisbon, Portugal
- NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Pedro Pinto Leite
- Direção de Serviços de Informação e Análise, Direção-Geral da Saúde, Lisbon, Portugal
| | - Maria João Pereira
- CERENA, DER, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
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Kislaya I, Melo A, Barreto M, Henriques C, Aniceto C, Manita C, Ramalhete S, Santos JA, Soeiro S, Rodrigues AP. Seroprevalence of Specific SARS-CoV-2 Antibodies during Omicron BA.5 Wave, Portugal, April-June 2022. Emerg Infect Dis 2023; 29:590-594. [PMID: 36732078 PMCID: PMC9973687 DOI: 10.3201/eid2903.221546] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
After the rapid spread of SARS-CoV-2 BA.5 Omicron lineage in Portugal, we developed a seroepidemiologic survey based on a sample of 3,825 residents. Results indicated that from April 27 through June 8, 2022, the estimated seroprevalence of SARS-CoV-2 nucleocapsid or spike IgG was 95.8%, which indicates a high level of protection.
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