Improving Spatial Estimates for COVID-19 Using Surveillance Data in Philadelphia

Annals of Epidemiology ◽

10.1016/j.annepidem.2020.08.050 ◽

2020 ◽

Vol 52 ◽

pp. 112-113

Author(s):

N.D. Goldstein ◽

D.C. Wheeler ◽

P. Gustafson ◽

I. Burstyn

Keyword(s):

Surveillance Data ◽

Spatial Estimates

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A Bayesian approach to improving spatial estimates of prevalence of COVID-19 after accounting for misclassification bias in surveillance data in Philadelphia, PA

Spatial and Spatio-temporal Epidemiology ◽

10.1016/j.sste.2021.100401 ◽

2021 ◽

Vol 36 ◽

pp. 100401

Author(s):

Neal D. Goldstein ◽

David C. Wheeler ◽

Paul Gustafson ◽

Igor Burstyn

Keyword(s):

Bayesian Approach ◽

Surveillance Data ◽

Misclassification Bias ◽

Spatial Estimates

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A Spatial Study of AIDS Surveillance Data by Demographic Subgroups in California

PsycEXTRA Dataset ◽

10.1037/e612762007-001 ◽

2001 ◽

Author(s):

Farzaneh Tabnak ◽

Maya Tholandi ◽

Mark Kuniholm

Keyword(s):

Surveillance Data ◽

Demographic Subgroups

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Trends in Reportable Sexually Transmitted Diseases in the United States, 2006: National Surveillance Data for Chlamydia, Gonorrhea, and Syphilis

PsycEXTRA Dataset ◽

10.1037/e718562007-001 ◽

2007 ◽

Keyword(s):

United States ◽

Sexually Transmitted Diseases ◽

The United States ◽

Surveillance Data ◽

National Surveillance ◽

Sexually Transmitted

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134. Interim Hazard Surveillance Data from the NIOSH Farm Family Health and Hazard Surveillance (FFHHS) Program in New York

10.3320/1.2764794 ◽

1999 ◽

Author(s):

D. Pedersen ◽

E. Hallman ◽

J. May ◽

A. Stark

Keyword(s):

New York ◽

Family Health ◽

Surveillance Data ◽

Farm Family ◽

Hazard Surveillance

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Development and Application of a Method to Reconstruct Aircraft Flight Paths using Surveillance Data

12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference ◽

10.2514/6.2012-5701 ◽

2012 ◽

Cited By ~ 1

Author(s):

Gaurav Nagle ◽

Andrew Trapani ◽

Douglas Sweet ◽

Gregory Carr

Keyword(s):

Surveillance Data ◽

Aircraft Flight

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What are surveillance data telling us about paediatric tuberculosis in the European Union and European Economic Area? An analysis of surveillance data from 2007 to 2014

10.26226/morressier.57fe118cd462b8028d8907e8 ◽

2016 ◽

Author(s):

Csaba Ködmön

Keyword(s):

European Union ◽

Surveillance Data ◽

European Economic Area ◽

The European Union ◽

European Economic ◽

Economic Area ◽

Paediatric Tuberculosis

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ZAP: The role of routine surveillance data in understanding the geography and timing of Salmonella on UK pig farms.

10.31274/safepork-180809-94 ◽

2007 ◽

Author(s):

Helen Clough ◽

Jean Sanderson ◽

Patrick Brown ◽

Alexander Miller ◽

Alasdair J. C. Cook

Keyword(s):

Surveillance Data ◽

Routine Surveillance ◽

Pig Farms

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Assessing the use of syndromic surveillance data to identify and track heat illness in Nebraska, 2010%26ndash%3B2011

Emerging Health Threats Journal ◽

10.3402/ehtj.v4i0.11124 ◽

2011 ◽

Vol 4 (0) ◽

Author(s):

Eryn Murphy ◽

Thomas Safranek

Keyword(s):

Syndromic Surveillance ◽

Surveillance Data ◽

Heat Illness

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Monitoring and auditing the transfer of syndromic surveillance data to ensure data completeness

Emerging Health Threats Journal ◽

10.3402/ehtj.v4i0.11111 ◽

2011 ◽

Vol 4 (0) ◽

Author(s):

Zachary Faigen ◽

Anikah Salim ◽

Kishok Rojohn ◽

Ajit Isaac ◽

Sherry Adams

Keyword(s):

Syndromic Surveillance ◽

Surveillance Data ◽

Data Completeness

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Faculty Opinions recommendation of Estimation of influenza vaccine effectiveness from routine surveillance data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.3435960.3129059 ◽

2010 ◽

Author(s):

Mark Russi

Keyword(s):

Influenza Vaccine ◽

Vaccine Effectiveness ◽

Surveillance Data ◽

Routine Surveillance

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