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Ahmmad EM, Roberts LR. Quality of Care in Patients With Cirrhosis: Trends in Recommended Adult Vaccination Coverage. Mayo Clin Proc Innov Qual Outcomes 2020; 4:667-682. [PMID: 33367212 PMCID: PMC7749261 DOI: 10.1016/j.mayocpiqo.2020.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Objective To assess the proportion of patients with cirrhosis up to date with vaccinations and associations of vaccination with age, sex, race, ethnicity, marital status, and type of provider follow-up. Patients and Methods Patients with cirrhosis diagnosed at Mayo Clinic in Rochester and Mayo Clinic Health System in Minnesota from January 1, 2007, to December 31, 2009, were followed up from diagnosis until May 31, 2015. Data were abstracted from Mayo Clinic and Minnesota State records. Factors determining vaccination coverage were assessed. Results At the end of the study period (8 years follow-up), 26.4% (95 of 360), 24.7% (82 of 332), 63.2% (180 of 285), and 25.5% (54 of 212) of patients with cirrhosis were up to date with hepatitis A virus (HAV), hepatitis B virus, pneumococcal pneumonia (PN), and herpes zoster vaccinations, respectively. Influenza (FLU) vaccine coverage increased from 36.1% (57 of 158) in 2007 to 2008 to 65.8% (106 of 161) in 2014 to 2015. Of those unvaccinated for HAV and hepatitis B virus before cirrhosis diagnosis, 18.6% (59 of 318) and 23.4% (71 of 304) completed vaccination. For HAV, more whites than nonwhites (28.3% [91 of 322] vs 10.5% [4 of 38]; odds ratio [OR], 3.35; 95% CI, 1.29 to 11.45; P=.02) and more non-Hispanics than Hispanics (27.4% [95 of 347] vs 0% [0 of 13]; OR, 0.00; 95% CI, 0.00 to 0.43; P=.03) were vaccinated. For PN, more younger than elderly people (66.8% [135 of 202] vs 54.2% [45 of 83]; OR, 1.70; 95% CI, 1.01 to 2.87; P=.04) and married vs single people (56.8% [100 of 176] vs 73.4% [80 of 109]; OR, 2.10; 95% CI, 1.26 to 3.56; P=.005) were vaccinated. For FLU, in 2013 to 2014, more elderly (72.0% [54 of 75] vs 58.0% [69 of 119]; OR, 0.54; 95% CI, 0.28 to 0.99; P=.05); in 2008 to 2009, more Hispanics (100% [4 of 4] vs 41.6% [116 of 279]; OR, ∞; 95% CI, 2.25 to ∞; P=.02); and in 2011 to 2012, more married people (62.4% [101 of 162] vs 50.5% [56 of 111]; OR, 1.63; 95% CI, 0.1.0 to 2.66; P=.05) were vaccinated. For FLU in 2008 to 2009, coverage was higher in the primary care than the specialist setting (55.8% [48 of 86] vs 36.6% [72 of 197]; P=.003). Conclusion Except for PN and FLU, vaccination coverage in patients with cirrhosis falls short of Healthy People 2020 target. Specific interventions are needed to improve vaccination coverage in patients with cirrhosis.
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Key Words
- ACIP, Advisory Committee on Immunization Practices
- CLD, chronic liver disease
- EMR, electronic medical record
- FLU, influenza
- GIH, gastroenterologist and/or hepatologist
- HAV, hepatitis A virus
- HBV, hepatitis B virus
- HR, high-risk people
- HZ, herpes zoster
- LT, liver transplant specialist
- OR, odds ratio
- PCP, primary care provider
- PN, pneumococcal pneumonia
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Affiliation(s)
- Eimad M Ahmmad
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN
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Tharu BP. The average peak time and intensity of seasonal influenza may vary by age: a study of laboratory confirmed influenza. J Infect Prev 2020; 21:170-176. [PMID: 33193818 DOI: 10.1177/1757177420921916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 03/09/2020] [Indexed: 11/16/2022] Open
Abstract
Background Seasonal influenza (SI) is an acute respiratory illness that exerts a severe impact on human life year-round. Yet, very few studies have been conducted to investigate its peak timing for different age groups. Objective To evaluate the average peak calendar time and intensity for the incidence of SI for different age groups. Methods The study uses laboratory-confirmed Influenza data from the Centers for Disease Control and Prevention (CDC) of the USA with age groups 2, 11, 34, 57 and 65 years during 2009-2018 for the analysis. A non-parametric method of estimation of a circular probability distribution called likelihood cross-validation method has been utilised. Results The average peak date of incidence for age groups 2 and 11 is around the last week of December. However, the date shifts to the last week of January to the first week of February for other groups. Age groups 65 and 2 years experienced the most severe impact among all. Discussion The average peak time for SI incidence is between the last week of December to January with a single peak time for every age group. However, the incidence seems to develop an additional moderate peak time for age group 65.
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Solanki G, Cornell M, Lalloo R. Uptake and cost of influenza vaccines in a private health insured South African population. S Afr J Infect Dis 2018. [DOI: 10.1080/23120053.2018.1504532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Affiliation(s)
- Geetesh Solanki
- Health System Research Unit, Medical Research Council of South Africa, Cape Town, South Africa
- Health Economics Unit, Department of Public Health, University of Cape Town, South Africa
- Towers Watson, Cape Town, South Africa
| | - Morna Cornell
- Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
- Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Ratilal Lalloo
- School of Dentistry, The University of Queensland, Herston, Queensland, Australia
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Solanki G, Cornell M, Lalloo R. Uptake and cost of influenza vaccines in a private health insured South African population. S Afr J Infect Dis 2018; 33. [PMID: 32051821 PMCID: PMC7015168 DOI: 10.4102/sajid.v33i5.138] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background Influenza vaccination is regarded as the most effective form of prevention and is particularly recommended for individuals at increased risk of developing severe influenza. Data on uptake (coverage) and costs in South Africa are limited. Methods This study examined influenza vaccination uptake amongst South African private health insurance scheme members. All claims received for services rendered in 2015 were collated at an individual level and the claims related to the provision of influenza vaccines were analysed. Results Of the almost 520 000 members, overall 5.0% (95% CI 4.9%; 5.1%) received the influenza vaccine in 2015. Priority risk groups such as pregnant women, older adults and those with a medical condition were significantly more likely to be vaccinated, as were members belonging to insurance schemes that offered a specific influenza vaccine benefit. The average cost of providing the vaccination was R350. Conclusions Influenza vaccination coverage was low in this privately insured population. There were more members vaccinated in the priority risk groups. There is an urgent need to implement strategies to increase this coverage in privately insured South Africans.
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Affiliation(s)
- Geetesh Solanki
- Health System Research Unit, Medical Research Council of South Africa, Cape Town, South Africa.,Health Economics Unit, Department of Public Health, University of Cape Town, South Africa.,Towers Watson, Cape Town, South Africa
| | - Morna Cornell
- Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.,Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Ratilal Lalloo
- School of Dentistry, The University of Queensland, Herston, Queensland, Australia
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DePasse JV, Smith KJ, Raviotta JM, Shim E, Nowalk MP, Zimmerman RK, Brown ST. Does Choice of Influenza Vaccine Type Change Disease Burden and Cost-Effectiveness in the United States? An Agent-Based Modeling Study. Am J Epidemiol 2017; 185:822-831. [PMID: 28402385 DOI: 10.1093/aje/kww229] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 06/30/2016] [Indexed: 12/22/2022] Open
Abstract
Offering a choice of influenza vaccine type may increase vaccine coverage and reduce disease burden, but it is more costly. This study calculated the public health impact and cost-effectiveness of 4 strategies: no choice, pediatric choice, adult choice, or choice for both age groups. Using agent-based modeling, individuals were simulated as they interacted with others, and influenza was tracked as it spread through a population in Washington, DC. Influenza vaccination coverage derived from data from the Centers for Disease Control and Prevention was increased by 6.5% (range, 3.25%-11.25%), reflecting changes due to vaccine choice. With moderate influenza infectivity, the number of cases averaged 1,117,285 for no choice, 1,083,126 for pediatric choice, 1,009,026 for adult choice, and 975,818 for choice for both age groups. Averted cases increased with increased coverage and were highest for the choice-for-both-age-groups strategy; adult choice also reduced cases in children. In cost-effectiveness analysis, choice for both age groups was dominant when choice increased vaccine coverage by ≥3.25%. Offering a choice of influenza vaccines, with reasonable resultant increases in coverage, decreased influenza cases by >100,000 with a favorable cost-effectiveness profile. Clinical trials testing the predictions made based on these simulation results and deliberation of policies and procedures to facilitate choice should be considered.
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Tran CH, Brew J, Johnson N, Ryan KA, Martin B, Cornett C, Caron B, Duncan RP, Small PA, Myers PD, Morris JG. Sustainability of school-located influenza vaccination programs in Florida. Vaccine 2016; 34:2737-44. [PMID: 27126875 DOI: 10.1016/j.vaccine.2016.04.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 04/06/2016] [Accepted: 04/07/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND School-located influenza vaccination (SLIV) programs are a promising strategy for increasing vaccination coverage among schoolchildren. However, questions of economic sustainability have dampened enthusiasm for this approach in the United States. We evaluated SLIV sustainability of a health department led, county-wide SLIV program in Alachua County, Florida. Based on Alachua's outcome data, we modeled the sustainability of SLIV programs statewide using two different implementation costs and at different vaccination rates, reimbursement amount, and Vaccines for Children (VFC) coverage. METHODS Mass vaccination clinics were conducted at 69 Alachua County schools in 2013 using VFC (for Medicaid and uninsured children) and non-VFC vaccines. Claims were processed after each clinic and submitted to insurance providers for reimbursement ($5 Medicaid and $47.04 from private insurers). We collected programmatic expenditures and volunteer hours to calculate fixed and variable costs for two different implementation costs (with or without in-kind costs included). We project program sustainability for Florida using publicly available county-specific student populations and health insurance enrollment data. RESULTS Approximately 42% (n=12,853) of pre-kindergarten - 12th grade students participated in the SLIV program in Alachua. Of the 13,815 doses provided, 58% (8042) were non-VFC vaccine. Total implementation cost was $14.95/dose or $7.93/dose if "in-kind" costs were not included. The program generated a net surplus of $24,221, despite losing $4.68 on every VFC dose provided to Medicaid and uninsured children. With volunteers, 99% of Florida counties would be sustainable at a 50% vaccination rate and average reimbursement amount of $3.25 VFC and $37 non-VFC. Without volunteers, 69% of counties would be sustainable at 50% vaccination rate if all VFC recipients were on Medicaid and its reimbursement increased from $5 to $10 (amount private practices receive). CONCLUSIONS AND RELEVANCE Key factors that contributed to the sustainability and success of an SLIV program are: targeting privately insured children and reducing administration cost through volunteers. Counties with a high proportion of VFC eligible children may not be sustainable without subsidies at $5 Medicaid reimbursement.
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Affiliation(s)
- Cuc H Tran
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States; Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
| | - Joe Brew
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States; Florida Department of Health in Alachua County, Gainesville, FL, United States
| | - Nicholas Johnson
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States; Florida Department of Health in Alachua County, Gainesville, FL, United States
| | - Kathleen A Ryan
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States; Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States; College of Medicine, University of Florida, Gainesville, FL, United States
| | - Brittany Martin
- Florida Department of Health in Alachua County, Gainesville, FL, United States
| | - Catherine Cornett
- Florida Department of Health in Alachua County, Gainesville, FL, United States
| | - Brad Caron
- Florida Department of Health in Alachua County, Gainesville, FL, United States
| | - R Paul Duncan
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Parker A Small
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States; Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States; College of Medicine, University of Florida, Gainesville, FL, United States
| | - Paul D Myers
- Florida Department of Health in Alachua County, Gainesville, FL, United States
| | - J Glenn Morris
- College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States; Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States; College of Medicine, University of Florida, Gainesville, FL, United States.
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7
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Yih WK, Kulldorff M, Sandhu SK, Zichittella L, Maro JC, Cole DV, Jin R, Kawai AT, Baker MA, Liu C, McMahill-Walraven CN, Selvan MS, Platt R, Nguyen MD, Lee GM. Prospective influenza vaccine safety surveillance using fresh data in the Sentinel System. Pharmacoepidemiol Drug Saf 2015; 25:481-92. [PMID: 26572776 PMCID: PMC5019152 DOI: 10.1002/pds.3908] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 09/28/2015] [Accepted: 10/06/2015] [Indexed: 11/13/2022]
Abstract
Purpose To develop the infrastructure to conduct timely active surveillance for safety of influenza vaccines and other medical countermeasures in the Sentinel System (formerly the Mini‐Sentinel Pilot), a Food and Drug Administration‐sponsored national surveillance system that typically relies on data that are mature, settled, and updated quarterly. Methods Three Data Partners provided their earliest available (“fresh”) cumulative claims data on influenza vaccination and health outcomes 3–4 times on a staggered basis during the 2013–2014 influenza season, collectively producing 10 data updates. We monitored anaphylaxis in the entire population using a cohort design and seizures in children ≤4 years of age using both a self‐controlled risk interval design (primary) and a cohort design (secondary). After each data update, we conducted sequential analysis for inactivated (IIV) and live (LAIV) influenza vaccines using the Maximized Sequential Probability Ratio Test, adjusting for data‐lag. Results Most of the 10 sequential analyses were conducted within 6 weeks of the last care‐date in the cumulative dataset. A total of 6 682 336 doses of IIV and 782 125 doses of LAIV were captured. The primary analyses did not identify any statistical signals following IIV or LAIV. In secondary analysis, the risk of seizures was higher following concomitant IIV and PCV13 than historically after IIV in 6‐ to 23‐month‐olds (relative risk = 2.7), which requires further investigation. Conclusions The Sentinel System can implement a sequential analysis system that uses fresh data for medical product safety surveillance. Active surveillance using sequential analysis of fresh data holds promise for detecting clinically significant health risks early. Limitations of employing fresh data for surveillance include cost and the need for careful scrutiny of signals. © 2015 The Authors. Pharmacoepidemiology and Drug Safety Published by John Wiley & Sons Ltd.
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Affiliation(s)
- Weiling Katherine Yih
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Martin Kulldorff
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sukhminder K Sandhu
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Lauren Zichittella
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Judith C Maro
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - David V Cole
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Robert Jin
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Alison Tse Kawai
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Meghan A Baker
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Chunfu Liu
- Government and Academic Research, HealthCore, Alexandria, VA, USA
| | | | - Mano S Selvan
- Comprehensive Health Insights, Humana Inc., Louisville, KY, USA
| | - Richard Platt
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Michael D Nguyen
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Grace M Lee
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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8
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Tran CH, Sugimoto JD, Pulliam JRC, Ryan KA, Myers PD, Castleman JB, Doty R, Johnson J, Stringfellow J, Kovacevich N, Brew J, Cheung LL, Caron B, Lipori G, Harle CA, Alexander C, Yang Y, Longini IM, Halloran ME, Morris JG, Small PA. School-located influenza vaccination reduces community risk for influenza and influenza-like illness emergency care visits. PLoS One 2014; 9:e114479. [PMID: 25489850 PMCID: PMC4260868 DOI: 10.1371/journal.pone.0114479] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Accepted: 11/07/2014] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND School-located influenza vaccination (SLIV) programs can substantially enhance the sub-optimal coverage achieved under existing delivery strategies. Randomized SLIV trials have shown these programs reduce laboratory-confirmed influenza among both vaccinated and unvaccinated children. This work explores the effectiveness of a SLIV program in reducing the community risk of influenza and influenza-like illness (ILI) associated emergency care visits. METHODS For the 2011/12 and 2012/13 influenza seasons, we estimated age-group specific attack rates (AR) for ILI from routine surveillance and census data. Age-group specific SLIV program effectiveness was estimated as one minus the AR ratio for Alachua County versus two comparison regions: the 12 county region surrounding Alachua County, and all non-Alachua counties in Florida. RESULTS Vaccination of ∼50% of 5-17 year-olds in Alachua reduced their risk of ILI-associated visits, compared to the rest of Florida, by 79% (95% confidence interval: 70, 85) in 2011/12 and 71% (63, 77) in 2012/13. The greatest indirect effectiveness was observed among 0-4 year-olds, reducing AR by 89% (84, 93) in 2011/12 and 84% (79, 88) in 2012/13. Among all non-school age residents, the estimated indirect effectiveness was 60% (54, 65) and 36% (31, 41) for 2011/12 and 2012/13. The overall effectiveness among all age-groups was 65% (61, 70) and 46% (42, 50) for 2011/12 and 2012/13. CONCLUSION Wider implementation of SLIV programs can significantly reduce the influenza-associated public health burden in communities.
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Affiliation(s)
- Cuc H. Tran
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Clinical Translational Science Institute, University of Florida, Gainesville, Florida, United States of America
| | - Jonathan D. Sugimoto
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Department of Epidemiology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Juliet R. C. Pulliam
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Biology, College of Liberal Arts and Sciences, University of Florida, Gainesville, Florida, United States of America
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Kathleen A. Ryan
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Paul D. Myers
- Florida Department of Health in Alachua County, Gainesville, Florida, United States of America
| | - Joan B. Castleman
- College of Nursing, University of Florida, Gainesville, Florida, United States of America
| | - Randell Doty
- College of Pharmacy, University of Florida, Gainesville, Florida, United States of America
| | - Jackie Johnson
- Alachua County Public Schools, Gainesville, Florida, United States of America
| | - Jim Stringfellow
- Partnership for Strong Families, Gainesville, Florida, United States of America
| | - Nadia Kovacevich
- Florida Department of Health in Alachua County, Gainesville, Florida, United States of America
| | - Joe Brew
- Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Department of Epidemiology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
- Florida Department of Health in Alachua County, Gainesville, Florida, United States of America
| | - Lai Ling Cheung
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | - Brad Caron
- Florida Department of Health in Alachua County, Gainesville, Florida, United States of America
| | - Gloria Lipori
- University of Florida Health Integrated Data Repository, UF Health, Gainesville, Florida, United States of America
| | - Christopher A. Harle
- Clinical Translational Science Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
| | - Charles Alexander
- Florida Department of Health, Tallahassee, Florida, United States of America
| | - Yang Yang
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Department of Biostatistics, Colleges of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Ira M. Longini
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Department of Biostatistics, Colleges of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - M. Elizabeth Halloran
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - J. Glenn Morris
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Parker A. Small
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, United States of America
- Department of Pathology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
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