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Malacatus-Arboleda A, Barbotó-Ramírez E, Sánchez GE, Moscoso B, Rhodes LA, Coloma J, Guevara Á, Espinoza-Fuentes F, Fernández-Cadena JC, Morey-León G, Andrade-Molina D. The effect of COVID vaccination timing on the seroprevalence of IgG antibodies: evidence from the Guayas region of Ecuador. Front Public Health 2025; 13:1537049. [PMID: 40201360 PMCID: PMC11975873 DOI: 10.3389/fpubh.2025.1537049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2024] [Accepted: 03/10/2025] [Indexed: 04/10/2025] Open
Abstract
Background and aims Timely distribution of COVID-19 vaccines was particularly important for developing countries that do not have strong health systems and related infrastructure. We analyze data from the Guayas province of Ecuador, an area particularly affected by the pandemic, to determine the seroprevalence of SARS-CoV-2 and the effect of the timing of the second dose of COVID-19 vaccines on the seroprevalence SARS-CoV-2 IgG antibodies. Methods This cross-sectional study involved 1,761 individuals aged 18 and older who voluntarily enrolled prior to and during the initial phase of vaccine rollout in Ecuador (October 2020 to July 2022). IgG anti-SARS-CoV-2 RBD antibodies were assessed by an in-house ELISA to evaluate the immune response to Pfizer (BioNTech, Spike mRNA) and AstraZeneca (Oxford, AstraZeneca Spike) vaccine in the Guayas province. Ordinary least squares (OLS) regressions were employed to determine the effect of delayed second doses later than prescribed by the manufacturer for both vaccines. Results Before the vaccination campaign, we estimated an RBD IgG seroprevalence of 27.7% (95% CI: 23.6-27, n = 469). The estimate increased to 89.4% (95% CI: 87.7-91.18, n = 1,235) after the first vaccine dose and to 92.6% (95% CI: 90.7-94.5, n = 748) after the second dose. Individuals who received the second dose of the Pfizer vaccine later than the recommended dose showed significantly lower levels of IgG antibodies 2-3 weeks after receiving the second dose than those who received the dose within the recommended timeframe. Furthermore, we did not find any effect on RBD IgG antibody levels in those who received a second dose of the AstraZeneca vaccine during the first and second parts of the recommended vaccination window. Conclusion The results suggest that a significant portion of the study population was already infected with SARS-CoV-2 prior to the vaccination. As expected, seropositivity increased alongside vaccination efforts. We determined that Pfizer vaccine recipients should be adhered to vaccine timing guidelines. Furthermore, resource-limited countries should consider administering vaccines with flexibility in dosing intervals, such as AstraZeneca, as it allows for a wider time frame without significantly reducing the boosting of IgG antibodies.
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Affiliation(s)
- Aurora Malacatus-Arboleda
- Laboratorio de Ciencias Ómicas, Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
| | - Erick Barbotó-Ramírez
- Laboratorio de Ciencias Ómicas, Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
| | - Gonzalo E. Sánchez
- Facultad de Ciencias Sociales y Humanísticas, Centro de Investigaciones Económicas, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador
| | - Bernard Moscoso
- Facultad de Ciencias Sociales y Humanísticas, Centro de Investigaciones Económicas, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador
| | - Lauren A. Rhodes
- Facultad de Ciencias Sociales y Humanísticas, Centro de Investigaciones Rurales, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador
| | - Josefina Coloma
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Ángel Guevara
- Instituto de Biomedicina, Carrera de Medicina, Universidad Central, Quito, Ecuador
| | - Fernando Espinoza-Fuentes
- Laboratorio de Ciencias Ómicas, Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
| | - Juan Carlos Fernández-Cadena
- Laboratorio de Ciencias Ómicas, Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
- Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, United States
| | - Gabriel Morey-León
- Laboratorio de Ciencias Ómicas, Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
| | - Derly Andrade-Molina
- Laboratorio de Ciencias Ómicas, Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
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Ugwu CA, Alao O, John OG, Akinnawo B, Ajayi I, Odebode O, Bejide I, Campbell A, Campbell J, Adole JA, B. Olawoye I, Akano K, Okolie J, Eromon P, Olaitan P, Olagunoye A, Adebayo I, Adebayo V, Babalola E, Abioye O, Ajayi N, Ogah E, Ukwaja K, Okoro S, Oje O, Kingsley OC, Eke M, Onyia V, Achonduh-Atijegbe O, Ewah FE, Obasi M, Igwe V, Ayodeji O, Chukwuyem A, Owhin S, Oyejide N, Abah S, Ingbian W, Osoba M, Alebiosu A, Nadesalingam A, Aguinam ET, Carnell G, Krause N, Chan A, George C, Kinsley R, Tonks P, Temperton N, Heeney J, Happi C. Immunological insights into COVID-19 in Southern Nigeria. Front Immunol 2024; 15:1305586. [PMID: 38322252 PMCID: PMC10844438 DOI: 10.3389/fimmu.2024.1305586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 01/04/2024] [Indexed: 02/08/2024] Open
Abstract
Introduction One of the unexpected outcomes of the COVID-19 pandemic was the relatively low levels of morbidity and mortality in Africa compared to the rest of the world. Nigeria, Africa's most populous nation, accounted for less than 0.01% of the global COVID-19 fatalities. The factors responsible for Nigeria's relatively low loss of life due to COVID-19 are unknown. Also, the correlates of protective immunity to SARS-CoV-2 and the impact of pre-existing immunity on the outcome of the COVID-19 pandemic in Africa are yet to be elucidated. Here, we evaluated the natural and vaccine-induced immune responses from vaccinated, non-vaccinated and convalescent individuals in Southern Nigeria throughout the three waves of the COVID-19 pandemic in Nigeria. We also examined the pre-existing immune responses to SARS-CoV-2 from samples collected prior to the COVID-19 pandemic. Methods We used spike RBD and N- IgG antibody ELISA to measure binding antibody responses, SARS-CoV-2 pseudotype assay protocol expressing the spike protein of different variants (D614G, Delta, Beta, Omicron BA1) to measure neutralizing antibody responses and nucleoprotein (N) and spike (S1, S2) direct ex vivo interferon gamma (IFNγ) T cell ELISpot to measure T cell responses. Result Our study demonstrated a similar magnitude of both binding (N-IgG (74% and 62%), S-RBD IgG (70% and 53%) and neutralizing (D614G (49% and 29%), Delta (56% and 47%), Beta (48% and 24%), Omicron BA1 (41% and 21%)) antibody responses from symptomatic and asymptomatic survivors in Nigeria. A similar magnitude was also seen among vaccinated participants. Interestingly, we revealed the presence of preexisting binding antibodies (N-IgG (60%) and S-RBD IgG (44%)) but no neutralizing antibodies from samples collected prior to the pandemic. Discussion These findings revealed that both vaccinated, non-vaccinated and convalescent individuals in Southern Nigeria make similar magnitude of both binding and cross-reactive neutralizing antibody responses. It supported the presence of preexisting binding antibody responses among some Nigerians prior to the COVID-19 pandemic. Lastly, hybrid immunity and heterologous vaccine boosting induced the strongest binding and broadly neutralizing antibody responses compared to vaccine or infection-acquired immunity alone.
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Affiliation(s)
- Chinedu A. Ugwu
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Oluwasina Alao
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Oluwagboadurami G. John
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Blossom Akinnawo
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Israel Ajayi
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Ooreofe Odebode
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Ifeoluwa Bejide
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Allan Campbell
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Julian Campbell
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Jolly A. Adole
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Idowu B. Olawoye
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Kazeem Akano
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Johnson Okolie
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Philomena Eromon
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Peter Olaitan
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Ajibola Olagunoye
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Ibukun Adebayo
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Victor Adebayo
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | | | - Omowumi Abioye
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Nnennaya Ajayi
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Emeka Ogah
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Kingsley Ukwaja
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Sylvanus Okoro
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Ogbonnaya Oje
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | | | - Matthew Eke
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Venatius Onyia
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Olivia Achonduh-Atijegbe
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Friday Elechi Ewah
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Mary Obasi
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Violet Igwe
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | | | | | | | - Nicholas Oyejide
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | | | - Winifred Ingbian
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Moyosoore Osoba
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Ahmed Alebiosu
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Angalee Nadesalingam
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Ernest T. Aguinam
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - George Carnell
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Nina Krause
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Andrew Chan
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Charlotte George
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Rebecca Kinsley
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Paul Tonks
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Nigel Temperton
- Viral Pseudotype Unit, Medway School of Pharmacy, The Universities of Greenwich and Kent, Kent, United Kingdom
| | - Jonathan Heeney
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Christian Happi
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
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Megasari NLA, Yamani LN, Juniastuti J, Lusida MI, Mori Y. Seroprevalence of SARS-CoV-2 anti-spike IgG antibody among COVID-19 vaccinated individuals residing in Surabaya, East Java, Indonesia. PeerJ 2023; 11:e16142. [PMID: 37780375 PMCID: PMC10538276 DOI: 10.7717/peerj.16142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/29/2023] [Indexed: 10/03/2023] Open
Abstract
Background To limit the SARS-CoV-2 transmission, the Indonesian government launched a COVID-19 vaccination program in January 2021. Studies on the clinical treatment and implementation of COVID-19 vaccination have shown promising results; however, it is necessary to estimate the effectiveness of the vaccines. With the ongoing COVID-19 pandemic, studies have highlighted the impact of COVID-19 vaccines, especially CoronaVac, on Indonesian healthcare workers. To get a better picture of how the vaccines work in Indonesia, it is necessary to estimate the prevalence of SARS-CoV-2 anti-S IgG antibody induced by the COVID-19 vaccine in individuals who have already received two-to-three doses of vaccines. Materials and Methods Four-hundred and ninety-six whole-blood samples were collected from participants residing in Surabaya, East Java, Indonesia, who received a minimum of a two-dose COVID-19 vaccine. Serums were then isolated from the blood and subjected to detect SARS-CoV-2 anti-S IgG antibodies using a lateral flow immunochromatographic assay. Results The prevalence of positive anti-S-IgG antibodies was 91.7% (455/496) in all participants receiving a minimum of a two-dose COVID-19 vaccine. As many as 209 (85.3%) and 141 (96.6%) participants were seropositive for receiving CoronaVac and AstraZeneca, respectively. Meanwhile, all participants receiving two-dose CoronaVac with one booster dose of Moderna (105/100%) were seropositive (p < 0.05). Age, comorbidity, and time after the last vaccine were significantly correlated with seropositivity (p < 0.05). Conclusion Different vaccines might produce different antibody responses. Adopting a stronger policy regarding the administration of booster doses might be beneficial to elicit positive anti-S-IgG antibodies, especially among older individuals, those with comorbid diseases, and those with a longer time after the second vaccination dose.
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Affiliation(s)
- Ni Luh Ayu Megasari
- Postgraduate School, Universitas Airlangga, Surabaya, East Java, Indonesia
- Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Laura Navika Yamani
- Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Universitas Airlangga, Surabaya, East Java, Indonesia
- Department of Epidemiology, Faculty of Public Health, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Juniastuti Juniastuti
- Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Universitas Airlangga, Surabaya, East Java, Indonesia
- Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Maria Inge Lusida
- Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Universitas Airlangga, Surabaya, East Java, Indonesia
- Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Yasuko Mori
- Center for Infectious Diseases, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
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