ArticleVaccines2022
Sero-Epidemiological Study of
Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- Seroprevalence of diphtheria, tetanus, pertussis among healthcare workers (HCWs) - A cross-sectional study at the National Centre for Infectious Diseases and Tan Tock Seng Hospital, Singapore.Human vaccines & immunotherapeutics · 2026Article
- The Resurgence of Pertussis in Tuscany (Italy): A Six-Year Retrospective Epidemiological Analysis.Pathogens (Basel, Switzerland) · 2026Article
- Pertussis epidemiology and seroprevalence in Wujin District, Changzhou, China, 2024.BMC infectious diseases · 2026Article
- Vaccination, Public Health and Health Communication: A Network of Connections to Tackle Global Challenges.Vaccines · 2025Article
- Article
- Pertussis Notification Rate and Tdpa Vaccine/Booster Coverage in Adults: An Opportunity for an Epidemiological Observatory in Primary Care.Infectious disease reports · 2024Article
- Family Medicine and Primary Healthcare: The Past, Present and Future.Healthcare (Basel, Switzerland) · 2023Article
- Artificial Intelligence and Public Health: Evaluating ChatGPT Responses to Vaccination Myths and Misconceptions.Vaccines · 2023Article
- First Year of Special Issue "New Insights in Vaccination and Public Health": Opinions and Considerations.Vaccines · 2023Article
- Assessment of Pertussis Underreporting in Italy.Journal of clinical medicine · 2023Article
- Adaptive immune response to bordetella pertussis during vaccination and infection: emerging perspectives and unanswered questions.Expert review of vaccinesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
A multicenter study was conducted to estimate the prevalence of pertussis IgG antibodies (anti-PTx) in the Italian population. Serum samples (4154) collected in the years 2019−2020 from subjects aged 6 to 90 years were tested. The anti-PTx IgG levels were determined by ELISA test. The limit of detection was 5 IU/mL (International Units per milliliter); values ≥ 40 IU/mL and ≥100 IU/mL indicate an infection that has occurred in recent years and a recent infection (occurred during the last year), respectively. The mean concentration of anti-PTx IgG antibodies in the tested samples was 13 IU/mL; 1.0% of subjects had a titer ≥ 100 IU/mL, 5.3% a titer between 40 and 100 IU/mL, and 38.9% a titer < 5 IU/mL. The mean antibody concentration was significantly higher in males than in females. The age group 25−39 years had the lowest percentage of negative subjects (36.9%) and the highest prevalence of subjects with antibody titers ≥ 100 IU/mL (1.3%). In the age group ≥ 65 years, the prevalence of subjects with titers between 40 and 100 IU/mL (6.7%) and the percentage of negative subjects (44.8%) was higher than in the other age groups. The results highlight the possible role of adolescents and adults in the transmission of B. pertussis.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.