Gibbs Gibbs

Dr. Gibbs Gibbs


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 June 2022 in Vaccines
Verified
Journal Article
Open access
PDF file
ATAshley Hogan Tjaden
Ashley Hogan Tjaden
LFLida Fette
Lida Fette
SESharon Edelstein
Sharon Edelstein
GGGibbs Gibbs
Gibbs Gibbs
AHAmy N. Hinkelman
Amy N. Hinkelman
TGthe COVID-19 Community Research Partnership Study Group
the COVID-19 Community Research Partnership Study Group
Introduction: Observational studies of SARS-CoV-2 vaccine effectiveness depend on accurate ascertainment of vaccination receipt, date, and product type. Self-reported vaccine data may be more readily available to and less expensive for researchers than assessing medical records. Methods: We surveyed adult participants in the COVID-19 Community Research Partnership who had an authenticated Electronic Health Record (EHR) (N = 41,484) concerning receipt of SARS-CoV-2 vaccination using a daily survey beginning in December 2020 and a supplemental survey in September–October 2021. We compared self-reported information to that available in the EHR for the following data points: vaccine brand, date of first dose, and number of doses using rates of agreement and Bland–Altman plots for visual assessment. Self-reported data was available immediately following vaccination (in the daily survey) and at a delayed interval (in a secondary supplemental survey). Results: For the date of first vaccine dose, self-reported “immediate” recall was within ±7 days of the date reported in the “delayed” survey for 87.9% of participants. Among the 19.6% of participants with evidence of vaccination in their EHR, 95% self-reported vaccination in one of the two surveys. Self-reported dates were within ±7 days of documented EHR vaccination for 97.6% of the “immediate” surveys and 92.0% of the “delayed” surveys. Self-reported vaccine product details matched those in the EHR for over 98% of participants for both “immediate” and “delayed” surveys. Conclusions: Self-reported dates and product details for COVID-19 vaccination can be a good surrogate when medical records are unavailable in large observational studies. A secondary confirmation of dates for a subset of participants with EHR data will provide internal validity.

1 September 2019 in Journal of Electrocardiology
Verified
Journal Article
Closed access
GGGibbs Gibbs
Gibbs Gibbs
JLJacob B. Leedekerken
Jacob B. Leedekerken
LLLaszlo Littmann
Laszlo Littmann

17 August 2021 in Vaccines
Verified
Journal Article
Open access
PDF file
CEChukwunyelu Enwezor
Chukwunyelu Enwezor
JPJames Peacock
James Peacock
ASAustin Seals
Austin Seals
SESharon Edelstein
Sharon Edelstein
AHAmy N. Hinkelman
Amy N. Hinkelman
DHDavid Herrington
David Herrington
Coronavirus Disease-2019 (COVID-19) vaccine acceptance is variable. We surveyed participants in the COVID-19 Community Research Partnership from 17 December 2020 to 13 January 2021 to assess vaccine receptiveness. Vaccine uptake was then monitored until 15 May 2021; 20,232 participants responded to the receptiveness survey with vaccination status accessed in 18,874 participants via daily follow-up surveys (participants not completing daily surveys ≥30 days to 15 May 2021, were excluded). In the initial survey, 4802 (23.8%) were vaccine hesitant. Hesitancy was most apparent in women (Adjusted RR 0.93, p < 0.001), Black Americans (Adjusted RR 1.39, 1.41, 1.31 to non-Hispanic Whites, Other, and Hispanic or Latino, respectively p < 0.001), healthcare workers (Adjusted RR 0.93, p < 0.001), suburbanites (ref. Urban Adjusted RR 0.85, 0.90 to urban and rural dwellers, respectively, p < 0.01), and those previously diagnosed with COVID-19 (RR 1.20, p < 0.01). Those <50 years were also less accepting of vaccination. Subsequent vaccine uptake was 99% in non-hesitant participants. For those who were unsure, preferred not to answer, or answered “no”, vaccination rates were 80% (Adjusted RR 0.86, p < 0.0001), 78% (Adjusted RR 0.83, p < 0.0001), and 52.7% (Adjusted RR 0.65, p < 0.0001), respectively. These findings suggest that initial intent did not correlate with vaccine uptake in our cohort.

3 May 2025 in COVID
Verified
Journal Article
Open access
PDF file
AAAmina Ahmed
Amina Ahmed
MDMichael E DeWitt
Michael E DeWitt
KDKeerti Dantuluri
Keerti Dantuluri
ABAsare Buahin
Asare Buahin
PCPaola Castri
Paola Castri
OPon behalf of the COVID-19 Community Research Partnership
on behalf of the COVID-19 Community Research Partnership
During the COVID-19 pandemic, longitudinal serological surveillance was critical to accurately assess the cumulative incidence of COVID-19 and monitor population-level immunity among children. We characterized the epidemiology of COVID-19 among North and South Carolina children using remote electronic symptom surveillance and serial at-home antibody testing in 2–17-year-old children from April to December 2021. We estimated accumulation of infection-induced antibodies, defined as seropositivity before vaccination. Reported novel symptoms were characterized for seropositive and seronegative participants. A total of 1058 children (median age 10 years (IQR 7–13)) participated in symptom surveillance. Estimated cumulative prevalence of infection-induced antibody increased from 0% (0–60%) to 85.7% (31.6–97%), 3.1% (0–9.0%) to 61.7% (46.1–72.7%) and 5.6% (0–15.6%) to 75% (59.9–84.4%), respectively, among those aged 2–4, 5–11 and 12–17 years. Determinants of seropositivity included Black race (OR 2.06 (1.19 to 3.47)) and having >5 household members (OR 3.05 (1.21 to 7.45)). Participants seroconverting reported mostly respiratory or systemic symptoms, but 52% (28/52) were asymptomatic. We demonstrate the role of at-home testing in trending SARS-CoV-2 seroprevalence in a community cohort of children. Such regional serological surveillance complements national data for a more complete assessment of SARS-CoV-2 burden and transmission. Future applications of the remote surveillance platform may be leveraged for characterizing the epidemiology of novel pathogens.