Alison Fujito’s scientific contributions

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Publications (1)


Figure 1. ASD prevalence reported by Becerra-Culqui et al. 1 , resolved by birth year using the reported June 30, 2017, diagnosis cut-off date (red and magenta triangles). The Becerra-Culqui data are compared to prevalence data from the California Department of Developmental Services (CDDS), resolved by birth year with a December 2017 diagnosis cut-off date (blue squares) (Nevison et al., 2018) 12 . CDDS focuses on the more severe cases of autism, so the CDDS values are lower than the Becerra-Culqui values. The dip in prevalence for the Becerra-Culqui data on 5-year-olds born in 2012 to Tdap-vaccinated mothers (red triangles) shows an odd age structure that is difficult to reconcile with the 2017 CDDS data. Also shown are the CDDS prevalence data with a late 2014 diagnosis cut-off (black squares), illustrating the much lower prevalence for 8-year-olds born in 2006 compared to post-2010 birth cohorts. CDDS curves show the rapid increase in autism prevalence over time while illustrating the rollover in the prevalence vs. birth year curve that occurs due to underascertainment in very young children. The 2014 diagnosis cut-off is included for comparison to the recent US Canters for Disease Control and Prevention (CDC) 2018 report 13 on 8-year-olds born in 2006.
Maternal Gestational Tdap Vaccination and Autism: A Critique of Becerra-Culqui et al. (2018)
  • Article
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April 2022

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International Journal of Vaccine Theory Practice and Research

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Alison Fujito

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Bernadette Pajer

We report flaws and inconsistencies in a critically important study of autism risk following maternal Tdap vaccination. The authors of the 2018 study, Prenatal Tetanus, Diphtheria, Acellular Pertussis Vaccination and Autism Spectrum Disorder (BC18), concluded that Tdap gestational vaccination is not associated with increased autism risk and claimed to provide “evidence supporting the ACIP’s recommendation to vaccinate pregnant women”. Our observations, based on information from the study itself, challenge these conclusions. We find evidence of a peculiar study design and approach to data analysis forcing outcomes by arbitrary data adjustments, overlooked variables of importance such as Bordetella pertussis infection prevalence and vaccine injury rates, insufficient consideration of likely interactions between multiple historical medical challenges by vaccines and other interventions on their participants, exclusion from the study individuals likely at risk of vaccine intolerance due to genetics, and indications that the study samples were not representative of the general population. Their first-year data show a concerning spike in ASD rates, and their findings and conclusions did not hold up to real-world data, which currently reports 3.8% ASD rate in California. Our observations, based on information from the study itself, challenge the conclusions of Becerra-Culqui et al, 2018.

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