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Historical US Pneumonia Infection and Probable Case Data
Public Health & Epidemiology
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About
Monitoring invasive pneumococcal disease (IPD) remains a priority for public health departments despite the success of historical vaccines. By tracking weekly infection rates across America, health officials can identify trends, defend against health threats, and compare current outbreaks—such as those observed during the COVID-19 pandemic—against historical benchmarks. This collection gathers longitudinal surveillance statistics to assist in the prevention and control of roughly 120 diseases monitored nationwide through the National Notifiable Diseases Surveillance System (NNDSS). It provides an expansive view of how infectious diseases impact local communities, offering the data necessary to refine case definitions and include modern diagnostic results.
Columns
- Region: A label identifying the specific state, region, city, or territory in the USA where the data originated.
- Count: The total number of confirmed pneumonia cases reported to the CDC for the specific week.
- ProbableCount: The number of suspected but not yet confirmed pneumonia cases, specifically captured during the 2019 and 2020 periods.
- Week: The specific week of the year for which the records were collected, ranging from 1 to 52.
- Year: The calendar year the data represents, covering the period from 2010 to 2021.
- DateStr: A string listing the specific ending date for each individual reporting week.
Distribution
The data is delivered in a CSV format titled
pneumoniaCDC2010.csv with a file size of approximately 1.34 MB. It contains roughly 39,300 valid records structured across six columns. The dataset maintains high integrity, with 100% validity across most fields and no missing entries in the core regional or temporal categories. This resource holds a usability score of 10.00 and is maintained with an expected monthly update frequency.Usage
This collection is ideal for performing time-series comparisons of pneumonia infection rates and evaluating the effectiveness of vaccination programmes over time. It can be used by public health researchers to model disease transmission, identify seasonal peaks, and compare historical infection levels with modern pandemic data. Furthermore, the inclusion of "probable" case counts allows for the development of more nuanced surveillance models that integrate results from culture-independent diagnostic tests.
Coverage
The geographic scope includes the 50 US states, New York City, the District of Columbia, and various US territories. The temporal range extends from January 2010 to April 2021. Data from years prior to 2010 is excluded to maintain consistency, as reporting criteria changed significantly during that period. The demographic focus is broad, reflecting cases gathered by approximately 3,000 public health departments to protect their local communities.
License
CC0: Public Domain
Who Can Use It
Epidemiologists can leverage these records to study the long-term patterns of Streptococcus pneumoniae and the impact of conjugate vaccines. Public health officials can utilise the weekly counts to monitor local health threats and coordinate prevention strategies. Additionally, data scientists can use this high-integrity collection to practice trend analysis, anomaly detection, and the creation of health-focused data visualisations.
Dataset Name Suggestions
- CDC Weekly Pneumonia Surveillance Archive (2010-2021)
- NNDSS National Pneumonia Case Count Registry
- Historical US Pneumonia Infection and Probable Case Data
- Streptococcus Pneumoniae Longitudinal Surveillance Index
- US Public Health Weekly Disease Monitoring: Pneumonia
Attributes
Original Data Source: Historical US Pneumonia Infection and Probable Case Data
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