Spatial Autocorrelation of Pancreatic Cancer Incidence Across ZIP Codes in Hillsborough County, Florida
DOI:
https://doi.org/10.14738/bjhr.1302.20170Keywords:
Pancreatic Cancer, ZIP Codes, Getis–Ord Gi* statistic, Moran’s I, Hillsborough County, FloridaAbstract
Pancreatic cancer is one of the most lethal malignancies in the United States, with survival outcomes strongly influenced by early detection and underlying social determinants of health. This study examines the spatial distribution of pancreatic cancer incidence across ZIP codes in Hillsborough County and evaluates the relationship between geographic clustering and sociodemographic characteristics. Using spatial analytical techniques, we tested for geographical autocorrelation and identified statistically significant hotspots and cold spots of pancreatic cancer incidence. Global spatial autocorrelation was assessed using Moran’s I to determine whether incidence rates were spatially clustered across ZIP codes. Local cluster detection was then performed with Getis–Ord Gi* statistic to identify areas with significantly higher or lower incidence relative to neighboring locations. To explore potential drivers of these spatial patterns, regression analyses were conducted using the ZIP code–level sociodemographic variables. Independent variables included racial composition, poverty rate, educational attainment, and indicators of socioeconomic disadvantages. These variables were evaluated for their association with pancreatic cancer incidence rates to determine whether disparities in disease burden corresponded with specific demographic and socioeconomic characteristics. Regression findings indicated that several sociodemographic variables, particularly income and racial composition, were significantly correlated with increased incidence rates. These findings highlight the importance of integrating spatial epidemiology with sociodemographic analysis to identify communities experiencing disproportionate disease burden. Targeted public health interventions, improved screening awareness, and resource allocation in identified hot spot areas may help address disparities in pancreatic cancer outcomes within Hillsborough County.
References
“Cancer of the Pancreas - Cancer Stat Facts,” SEER. Accessed: Feb. 17, 2026. [Online]. Available: https://seer.cancer.gov/statfacts/html/pancreas.html
“Pancreatic cancer - Symptoms and causes,” Mayo Clinic. Accessed: Feb. 17, 2026. [Online]. Available: https://www.mayoclinic.org/diseases-conditions/pancreatic-cancer/symptomscauses/syc-20355421
A. Mannucci and A. Goel, “Advances in pancreatic cancer early diagnosis, prevention, and treatment: The past, the present, and the future,” CA. Cancer J. Clin., vol. 76, no. 1, p. e70035, 2026, doi: 10.3322/caac.70035.
“Pancreatic Cancer - UF Health.” Accessed: Feb. 17, 2026. [Online]. Available: https://ufhealth.org/conditions-and-treatments/pancreatic-cancer
C. D. Fuko, H. M. Magacha, G. Noah, and O. V. Ikwuka, “Ethnic/Racial Disparities in Pancreatic Cancer Mortality Across the United States: A National Inpatient Sample Database Analysis,” Cureus, vol. 17, no. 1, p. e77389, doi: 10.7759/cureus.77389.
V. Vieira, T. Webster, J. Weinberg, and A. Aschengrau, “Spatial analysis of bladder, kidney, and pancreatic cancer on upper Cape Cod: an application of generalized additive models to case-control data,” Environ. Health, vol. 8, no. 1, p. 3, Feb. 2009, doi: 10.1186/1476-069X-8-3.
M. Amini, M. Azizmohammad Looha, S. Rahimi Pordanjani, H. Asadzadeh Aghdaei, and M. A. Pourhoseingholi, “Global long-term trends and spatial cluster analysis of pancreatic cancer incidence and mortality over a 30-year period using the global burden of disease study 2019 data,” PLOS ONE, vol. 18, no. 7, p. e0288755, Jul. 2023, doi: 10.1371/journal.pone.0288755.
“Census Bureau Data.” Accessed: Mar. 12, 2026. [Online]. Available: https://data.census.gov/
“State Cancer Profiles > Incidence Rates Table.” Accessed: Mar. 12, 2026. [Online]. Available: https://www.statecancerprofiles.cancer.gov/incidencerates/index.php?statefips=12&areatype=county&age=001&cancer=040&stage=211&race=00&sex=0&ruralurban=0&year=0&sortVariableName=cirank&sortOrder=asc&type=incd&output=0
H. Ferguson, S. Bovaird, and M. Mueller, “The impact of poverty on educational outcomes for children,” Paediatr. Child Health, vol. 12, no. 8, pp. 701–706, Oct. 2007, doi: 10.1093/pch/12.8.701.
R. Ranganath and Q. Chu, “Global trends in pancreas cancer among Asia-Pacific population,” J. Gastrointest. Oncol., vol. 12, no. Suppl 2, pp. S374–S386, Jul. 2021, doi: 10.21037/jgo-20-118.
S. N. Patel et al., “The Impact of Social Determinants on Pancreatic Cancer Care in the United States,” Cancers, vol. 17, no. 12, p. 1898, Jun. 2025, doi: 10.3390/cancers17121898.
J. Zottl, C. G. Sebesta, E. Tomosel, M.-C. Sebesta, and C. Sebesta, “Unraveling the Burden of Pancreatic Cancer in the 21st Century: Trends in Incidence, Mortality, Survival, and Key Contributing Factors,” Cancers, vol. 17, no. 10, p. 1607, May 2025, doi: 10.3390/cancers17101607.
“Disparities in cancer outcomes across age, sex, and race/ethnicity among patients with pancreatic cancer - Nipp - 2018 - Cancer Medicine - Wiley Online Library.” Accessed: Mar. 18, 2026. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1002/cam4.1277
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Copyright (c) 2026 Arshita Singh, Aarya Satardekar, Anusha Parajuli, Spuritha Bhandaru, Namit Choudhari, Rishil Shah, Salah Komrojki, Benjamin G. Jacob
This work is licensed under a Creative Commons Attribution 4.0 International License.
