Geographic Differences in Lung Cancer Incidence
A Study of a Major Metropolitan Area within Southeastern Pennsylvania
Bibliographic Data
| ID | 15514161 |
|---|---|
| Authors | Yaqian Zhu (0000-0001-5187-2667, University of Pennsylvania), Thomas P McKeon (0000-0002-2999-9175, University of Pennsylvania), Vicky Tam (0000-0002-4184-992X, University of Pennsylvania), Anil Vachani (0000-0002-3871-8697, Hospital of the University of Pennsylvania), T M Penning (0000-0002-3937-1066, Translational Therapeutics (United States)), Wei‐Ting Hwang (0000-0003-2829-2167, University of Pennsylvania, corresponding author) |
| Year | 2020 |
| Volume | 17 |
| Issue | 24 |
| Pages | 9498-9498 |
| Publication date | 2020-12-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17249498 |
| PMID | 33352953 |
| OpenAlex | W3111566794 |
| Language | EN |
| Citations received | 5 |
| References cited | 17 |
This study investigated the geographic variation and the clustering of lung cancer incidence rates in Philadelphia and the surrounding areas using addresses at the time of diagnosis. Using 60,844 cases from Pennsylvania Cancer Registry, we calculated and mapped the age-adjusted incidence rates for five Pennsylvania (PA) counties near Philadelphia between 1998-2007 and 2008-2017. We identified ZIP codes with significantly higher incidence rates than the state rates and examined their demographic and exposure characteristics. Further, we tested for spatial autocorrelation and identified spatial clusters using Moran's I statistic. Our results showed that approximately one in four ZIP codes had an incidence rate that was significantly higher than the PA state rate in each period studied. Clusters of higher incidences were detected in the southeastern part of PA bordering New Jersey. These areas tended to be more populated, of lower socioeconomic status, and closer to manufacturing facilities and major highways. Possibly driven by the community and environmental factors, the observed differences in disease incidence suggest the importance of including residential location in risk assessment tools for lung cancer
Archaeology · Cancer incidence · Cancer registry · Geography · Incidence (geometry · Lung cancer · Metropolitan area · Pathology · Population · Scan statistic · Socioeconomic status · Statistics · Air Quality and Health Impacts · Demography · Global Cancer Incidence and Screening · Health disparities and outcomes · Medicine
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |