This data set provides an estimate of the number of people aged 15-34 years with newly identified confirmed chronic (or past/present) hepatitis C infection, by county and by year.
The dataset is limited to persons aged 15 to 34 because hepatitis C infection is usually asymptomatic for decades after infection occurs. Cases are usually identified because they have finally become symptomatic, or they were screened. Until very recently, screening for hepatitis C was not routinely performed. This makes it very challenging to identify persons with recent infection. Limiting the age of newly identified patients to 15-34 years makes it more likely that the cases included in the dashboard were infected fairly recently. It is not meant to imply that the opioid crisis’ effect on hepatitis C transmission is limited to younger people.
The process by which case counts are determined is as follows: Case reports, which include lab test results and address data, are sent to Pennsylvania’s electronic disease surveillance system (PA-NEDSS). Confirmation status is determined by public health investigators who evaluate test results against the CDC case definition for hepatitis C in place for the year in which the patient was first reported (https://wwwn.cdc.gov/nndss/conditions/hepatitis-c-chronic/). Reportable disease data, including hepatitis C, is extracted from PA-NEDSS, combined with similar data sent by the Philadelphia Department of Public Health (PDPH, which uses a separate surveillance system), and sent to CDC. Case data sent to CDC (from PA-NEDSS and PDPH combined) are used to create a statewide reportable disease dataset. This statewide file was used to generate the dashboard dataset.
Note that the term that CDC has used to denote persons with hepatitis C infection that is not known to be acute has switched back and forth between “Hepatitis C, past or present” and “Hepatitis C, chronic” over the past several years. The CDC case definition for hepatitis C, chronic (or past or present) changed in 2005, 2010, 2011, 2012, and 2016. Persons reported as confirmed in one year may not have been considered confirmed in another year. For example, patients with a positive radioimmunoblot assay (RIBA) or elevated enzyme immunoassay (EIA) signal-to-cutoff level were counted as confirmed in 2012, but not counted as confirmed in 2016.
Data sent to CDC’s National Notifiable Disease Surveillance System use a measure for aggregating cases by year called the MMWR year. The MMWR, or the Morbidity and Mortality Weekly Report, is an official publication by CDC and the means by which CDC has historically presented aggregated case count data. Since data in the MMWR are presented by week, the MMWR year always starts on the Sunday closest to Jan 1 and ends on the Saturday closest to Dec 31. The most recent year for which case counts are finalized is 2016. Annual case counts are finalized in May of the following year.
The patient zip code, as submitted to PA-NEDSS, is used to determine the case’s county of residence at the time of initial case report. In some instances, the patient zip code is unavailable. In those circumstances, the zip code of the provider that ordered the lab test is used as a proxy for patient zip code.
Users should note that the state prison system routinely screens all incoming inmates for hepatitis C. If these inmates are determined to be confirmed cases, they are assigned to the county in which they were incarcerated when their confirmed hepatitis C was first identified. Hepatitis C case counts in counties with state prisons should be interpreted cautiously in light of this enhanced screening activity.

Week of May 3rd is the final week that DOH will provide a 1st dose and 2nd dose allocation files. The 1st and 2nd dose allocation files will remain on Open Data, but they will no longer be updated.

Beginning Tuesday, 5/11/21, only one vaccine allocation file will be provided. The Department of Health will be switching to universal doses allocation. That is, there will no longer be a distinction between vaccines allocated for 1st versus 2nd doses.

This indicator includes the rate of hospitalization per 1,000 individuals estimated to have Opioid Use Disorder (OUD) for Opioid Use Disorder, Intracranial and intraspinal Abscess, Osteomyelitis, Endocarditis, Soft skin tissue infection, and Viral Hepatitis (B, C, and D) for individuals diagnosed with OUD in the same calendar year.
Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.
PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers.

This dataset contains the total counts of PA Department of Human Services (DHS) Medical Assistance (MA) individuals diagnosed with Opioid Use Disorder (OUD) or OUD Poisoning. Also included are individuals receiving MAT (Medication assisted treatment - the use of medications in combination with counseling and behavioral therapies for the treatment of substance use disorders.) NOT diagnosed in the same period. Counts are reported by case county and cover calendar years 2015 - 2018.

This dataset contains aggregate data by clinic for COVID-19 doses that are reported to the Pennsylvania Statewide Immunization System (PA-SIIS) as waste or spoilage.

Data includes the name, address and county of the clinics and the quantities of doses reported based on CDC’s standard waste reason codes or spoilage.

Spoilage is defined as nonviable, unopened vials of vaccine. This typically includes vaccine that has expired and vaccine that was not kept stored at the correct temperature (due to conditions such as equipment failure).

Wastage is defined as nonviable doses from opened vials. Standard CDC reasons are as follows:



• Broken Vial or Syringe

• Vaccine drawn (into syringe) but not administered

• Lost or unaccounted for vaccine

• Open vial but not administered

• Other



Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System. Providers participating in the COVID-19 Program that are located in Philadelphia County or who are receiving vaccine inventory directly from CDC are not included in this dataset since they do not report inventory information to PA-SIIS.

This indicator includes the rate of hospitalization per 1,000 individuals estimated to have Opioid Use Disorder (OUD) for Opioid Use Disorder, Intracranial and intraspinal Abscess, Osteomyelitis, Endocarditis, Soft skin tissue infection, and Viral Hepatitis (B, C, and D) for individuals diagnosed with OUD in the same calendar year.
Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.
PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers.

This indicator includes the hospitalization count and rate of hospitalization per 1,000 individuals estimated to have Drug Use Disorder for any of the following reasons: Opioid Use Disorder (OUD), Cellulitis, Osteomyelitis, Endocarditis, Soft skin tissue infection, or Viral Hepatitis (B, C, and D) for individuals diagnosed with OUD in the same calendar year.
Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.
PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers.

This indicator includes the count and rate of newly diagnosed cases of Hepatitis C per 1,000 individuals estimated to have Drug Use Disorder.

EDDIE is an interactive health statistics dissemination web tool where you can create customized data tables for various health related data.

The EDDIE system was developed to empower public health professionals by enhancing and expanding upon their ability to use data and statistics to drive public health policy and program decisions. Users of the EDDIE system must agree to make no attempt to identify an individual, and must agree to notify the Pennsylvania Department of Health, Division of Health Informatics immediately if an individual is inadvertently identified along with an explanation on how this occurred.

The following datasets are available:
•Air Quality
•Behavioral Risk Factor Surveillance System (BRFSS)
•Birth Defects
•Births
•Cancer Incidence
•Carbon Monoxide Poisoning Mortality
•Childhood Cancer Incidence
•Childhood Lead Poisoning
•Children Less Than Age 5 Living in Poverty
•Communicable Diseases (other than STDs)
•Deaths
•Drinking Water Quality
•Hospitalizations
•Housing by Year Built
•Infant Deaths
•Population
•Reported Pregnancies
•Reproductive Health Outcomes
•Sexually Transmitted Diseases (STDs)

EDDIE is the Pennsylvania Department of Health's primary tool for data dissemination. This is also the replacement for our legacy EpiQMS system, which has been disabled. We are working to add additional functionality to the EDDIE system in the future, including charts, county assessments, and additional maps. We are also planning to add new datasets in the coming years.

​DISCLAIMER: If you use any of the data provided, please include the following statement in any publication or release:
These data were provided by the Division of Health Informatics, Pennsylvania Department of Health. The Department specifically disclaims responsibility for any analyses, interpretations, or conclusions. Users of this data agree to make no attempt to identify an individual, and agree to notify the Division of Health Informatics, Pennsylvania Department of Health immediately if an individual is inadvertently identified along with an explanation of how this occurred.

This indicator includes the rate of hospitalization per 1,000 individuals estimated to have Opioid Use Disorder (OUD) for Opioid Use Disorder, Intracranial and intraspinal Abscess, Osteomyelitis, Endocarditis, Soft skin tissue infection, and Viral Hepatitis (B, C, and D) for individuals diagnosed with OUD in the same calendar year.
* Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.
PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers.