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1.
Nat Neurosci ; 25(1): 116-126, 2022 01.
Article in English | MEDLINE | ID: mdl-34916659

ABSTRACT

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in which high-resolution functional magnetic resonance imaging responses to tens of thousands of richly annotated natural scenes were measured while participants performed a continuous recognition task. To optimize data quality, we developed and applied novel estimation and denoising techniques. Simple visual inspections of the NSD data reveal clear representational transformations along the ventral visual pathway. Further exemplifying the inferential power of the dataset, we used NSD to build and train deep neural network models that predict brain activity more accurately than state-of-the-art models from computer vision. NSD also includes substantial resting-state and diffusion data, enabling network neuroscience perspectives to constrain and enhance models of perception and memory. Given its unprecedented scale, quality and breadth, NSD opens new avenues of inquiry in cognitive neuroscience and artificial intelligence.


Subject(s)
Cognitive Neuroscience , Magnetic Resonance Imaging , Artificial Intelligence , Brain/diagnostic imaging , Brain/physiology , Brain Mapping/methods , Humans , Magnetic Resonance Imaging/methods , Neural Networks, Computer , Recognition, Psychology
2.
Vaccine ; 34(24): 2737-44, 2016 05 23.
Article in English | MEDLINE | ID: mdl-27126875

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.


Subject(s)
Immunization Programs/economics , Influenza Vaccines/therapeutic use , Schools , Vaccination/economics , Adolescent , Child , Child, Preschool , Florida , Health Care Costs , Health Expenditures , Humans , Influenza Vaccines/economics , Influenza, Human/prevention & control , Insurance, Health , Medicaid , United States , Vaccination/statistics & numerical data
3.
PLoS One ; 9(12): e114479, 2014.
Article in English | MEDLINE | ID: mdl-25489850

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.


Subject(s)
Emergency Medical Services/statistics & numerical data , Immunization Programs/methods , Influenza, Human/prevention & control , Residence Characteristics/statistics & numerical data , Schools/statistics & numerical data , Vaccination/statistics & numerical data , Adolescent , Ambulatory Care Facilities/statistics & numerical data , Child , Child, Preschool , Emergency Service, Hospital/statistics & numerical data , Female , Florida/epidemiology , Humans , Influenza, Human/epidemiology , Male , Risk
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