Genomic characterization of SARS-CoV-2 from vaccine breakthrough cases in Allegheny County, Pennsylvania. by Kady D Waggle, Marissa P Griffith, Lei Zhu, Vaughn S Cooper, Daniel J Snyder, Vatsala Srinivasa, Tung Phan, Alan Wells, Graham M Snyder, Daria Van Tyne, Lee H Harrison, Jane W Marsh

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Multi-feature SEIR model for epidemic analysis and vaccine prioritization. by Yingze Hou, Hoda Bidkhori

“…Our model has been validated using the data of the confirmed COVID cases in Allegheny County (Pennsylvania, USA) and Hamilton County (Ohio, USA). …”
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A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation by John M Aronis, Ye Ye, Jessi Espino, Harry Hochheiser, Marian G Michaels, Gregory F Cooper

“…Results We include results based on modeling diseases like influenza, respiratory syncytial virus, human metapneumovirus, and parainfluenza for 5 emergency departments in Allegheny County, Pennsylvania, from June 1, 2014, to May 31, 2015. …”
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Estimating the burden of adult hospitalized RSV infection using local and state data - methodology by G. K. Balasubramani, Mary Patricia Nowalk, Heather Eng, Richard K. Zimmerman

“…The study population is residents of Allegheny County, Pennsylvania ≥18 years of age who were hospitalized in Pennsylvania during the period September 1, 2015–August 31, 2018. …”
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Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data by Shaina L. Stacy, Hukum Chandra, Saurav Guha, Raanan Gurewitsch, Lu Ann L. Brink, Linda B. Robertson, David O. Wilson, Jian-Min Yuan, Saumyadipta Pyne

“…We propose a novel, two-step method for rescaling health survey data and creating small area estimates (SAEs) of smoking rates using a Behavioral Risk Factor Surveillance System survey administered in 2015 to participants living in Allegheny County, Pennsylvania, USA. Methods The first step consisted of a spatial microsimulation to rescale location of survey respondents from zip codes to tracts based on census population distributions by age, sex, race, and education. …”
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Integrating public transportation and shared autonomous mobility for equitable transit coverage: A cost-efficiency analysis by Allanté Whitmore, Constantine Samaras, Chris T. Hendrickson, H. Scott Matthews, Gabrielle Wong-Parodi

“…Cost efficiency analysis compares direct operating costs of shared autonomous vehicles (SAVs) and autonomous shuttles to a conventional transit bus. Using Allegheny County, Pennsylvania as a case study, the analysis considers potentially adding shuttle or SAV service to expand service for the existing public transit system. …”
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Identifying priority populations for lung cancer screening intervention using neighborhood-level factors and cancer registry data by Meghan Tipre, Celeste Picone, Kathryn Demanelis, Jeanine M. Buchanich, Christina Ndoh, Jian-Min Yuan, Monica L. Baskin

“…Data for adult incident LC cases in Allegheny County, Pennsylvania, diagnosed between 2015–2019 were obtained from the Pennsylvania Cancer Registry. …”
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Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach. by Wei-Hsuan Lo-Ciganic, Julie M Donohue, Eric G Hulsey, Susan Barnes, Yuan Li, Courtney C Kuza, Qingnan Yang, Jeanine Buchanich, James L Huang, Christina Mair, Debbie L Wilson, Walid F Gellad

“…This prognostic study included Medicaid beneficiaries (n = 237,259) in Allegheny County, Pennsylvania enrolled between 2015 and 2018, randomly divided into training, testing, and validation samples. …”
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Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study by Tamar Krishnamurti, Rachel Moon, Rudolph Richichi, Rachel Berger

“…Pregnant persons were designated as high risk if they lived in the 5% of zip codes in Allegheny County, Pennsylvania with the highest rates of SUID in the county. …”
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