Skip to main content

Spatial Epidemiology and Public Health

  • Chapter
  • First Online:
Geospatial Technology for Human Well-Being and Health

Abstract

Applications of geospatial technology in public health have grown considerably during the past two decades. Terms and disciplines such as “geomedicine,” “geospatial health,” and “spatial epidemiology” have become more commonplace as public health officials, researchers, and the community at large have come to rely on maps and geospatial analyses on a regular basis. Geographic information systems (GIS) and spatial epidemiological analyses allow us to visualize and disseminate images and information about the geospatial distribution of disease outbreaks, natural disasters that impact human lives, access to healthcare facilities, “hotspots” for negative health outcomes, and environmental health threats, to name a few. Whether on the nightly news, on our smartphones, in our cars, or in the classroom, we depend on maps and spatial analyses to inform our understanding of our local surroundings and places that merit further attention from a public health perspective. In this chapter, we will provide an overview of spatial health and its many variations. We will present three overarching domains that encapsulate applications for GIS and spatial analyses focused on public health. And, we will present a number of geographic mapping and analytical techniques that can be used to improve our understanding of spatial health, highlighting the strengths and limitations of each approach, culminating in a case study in spatial epidemiology and public health focused on the opioid crisis. We will conclude the chapter with a focus on the many successful uses of GIS and spatial technology in public health and discuss future directions.

I’ve always been fascinated by maps and cartography. A map tells you where you’ve been, where you are, and where you’re going – in a sense it’s three tenses in one.– Peter Greenaway

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alliance C.,H. Addressing the overdose epidemic in Cambridge. 2019.

    Google Scholar 

  • Amiri, S., R. Lutz, M.E. Socías, M.G. McDonell, J.M. Roll, and O. Amram. 2018. Increased distance was associated with lower daily attendance to an opioid treatment program in Spokane County Washington. Journal of Substance Abuse Treatment 93: 26–30.

    Google Scholar 

  • Amiri, S., R.B. Lutz, M.G. McDonell, J.M. Roll, and O. Amram. 2019. Spatial access to opioid treatment program and alcohol and cannabis outlets: Analysis of missed doses of methadone during the first, second, and third 90 days of treatment. The American Journal of Drug and Alcohol Abuse: 1–10.

    Google Scholar 

  • Anselin L. 1995. Local Indicators of spatial association–LISA. GeographicalAnalysis 27(2): 93–115.

    Google Scholar 

  • Aziz, S., R. Ngui, Y.A.L. Lim, et al. 2012. Spatial pattern of 2009 dengue distribution in Kuala Lumpur using GIS application. Tropical Biomedicine 29 (1): 113–120.

    Google Scholar 

  • Barkhuus A. Medical geographies. 1945.

    Google Scholar 

  • Barnard, D.K., and W. Hu. 2005. The population health approach: Health GIS as a bridge from theory to practice. International Journal of Health Geographics 4: 23.

    Google Scholar 

  • Barrett, F.A. 2000. Finke’s 1792 map of human diseases: The first world disease map? Social Science & Medicine 50 (7–8): 915–921.

    Google Scholar 

  • Basak, A., J. Cadena, A. Marathe, and A. Vullikanti. 2019. Detection of spatiotemporal prescription opioid hot spots with network scan statistics: Multistate analysis. JMIR Public Health and Surveillance 5 (2): e12110.

    Google Scholar 

  • Bennett, J.E., G. Li, K. Foreman, et al. 2015. The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting. The Lancet 386 (9989): 163–170.

    Google Scholar 

  • Bergquist, R., and L. Rinaldi. 2010. Health research based on geospatial tools: A timely approach in a changing environment. Journal of Helminthology 84 (1): 1–11.

    Google Scholar 

  • Boodram, B., E.T. Golub, and L.J. Ouellet. 2010. Socio-behavioral and geographic correlates of prevalent hepatitis C virus infection among young injection drug users in metropolitan Baltimore and Chicago. Drug and Alcohol Dependence 111 (1–2): 136–145.

    Google Scholar 

  • Boulos, M.N. 2004. Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom. International Journal of Health Geographics 3(1):1.

    Google Scholar 

  • Bowditch H.I. Consumption in new england: or, locality one of its chief causes. an address delivered before the Massachusetts Medical Society. Ticknor & Fields. 1862.

    Google Scholar 

  • Brouwer, K.C., M.L. Rusch, J.R. Weeks, et al. 2012. Spatial epidemiology of HIV among injection drug users in Tijuana, Mexico. Annals of the Association of American Geographers 102 (5): 1190–1199.

    Google Scholar 

  • Brown, G., M.F. Schebella, and D. Weber. 2014. Using participatory GIS to measure physical activity and urban park benefits. Landscape and Urban Planning 121: 34–44.

    Google Scholar 

  • Browning, M., and K. Lee. 2017. Within what distance does “greenness” best predict physical health? A systematic review of articles with GIS buffer analyses across the lifespan. International Journal of Environmental Research and Public Health 14 (7): 675.

    Google Scholar 

  • Brownstein, J.S., T.C. Green, T.A. Cassidy, and S.F. Butler. 2010. Geographic information systems and pharmacoepidemiology: Using spatial cluster detection to monitor local patterns of prescription opioid abuse. Pharmacoepidemiology and Drug Safety 19 (6): 627–637.

    Google Scholar 

  • Broz, D., J. Zibbell, C. Foote, et al. 2018. Multiple injections per injection episode: High-risk injection practice among people who injected pills during the 2015 HIV outbreak in Indiana. The International Journal on Drug Policy 52: 97–101.

    Google Scholar 

  • Cameron, D., and I.G. Jones. 1983. John Snow, the broad street pump and modern epidemiology. International Journal of Epidemiology 12 (4): 393–396.

    Google Scholar 

  • Carter, J.G., G. Mohler, and B. Ray. 2019. Spatial concentration of opioid overdose deaths in Indianapolis: An application of the law of crime concentration at place to a public health epidemic. Journal of Contemporary Criminal Justice 35 (2): 161–185.

    Google Scholar 

  • CDC. U.S. Opioid Prescribing Rate Maps. https://www.cdc.gov/drugoverdose/maps/rxrate-maps.html. Accessed August 31, 2019.

  • CDC Wonder. http://wonder.cdc.gov/.

  • Celentano, D.D., and S. Mhs. 2018. Gordis epidemiology. Elsevier.

    Google Scholar 

  • Chen, Q., M.R. Larochelle, D.T. Weaver, et al. 2019. Prevention of prescription opioid misuse and projected overdose deaths in the United States. JAMA Network Open 2 (2): e187621–e187621.

    Google Scholar 

  • Ciccarone, D. 2019. The triple wave epidemic: Supply and demand drivers of the US opioid overdose crisis. The International Journal on Drug Policy 71: 183–188. https://doi.org/10.1016/j.drugpo.2019.01.010.

    Article  Google Scholar 

  • Clarke, K.C. 1995. Analytical and computer cartography. Vol. 1. Upper Saddle River: Prentice Hall Englewood Cliffs.

    Google Scholar 

  • Conrad, C., H.M. Bradley, D. Broz, et al. 2015. Community outbreak of HIV infection linked to injection drug use of Oxymorphone – Indiana, 2015. MMWR. Morbidity and Mortality Weekly Report 64 (16): 443–444.

    Google Scholar 

  • Cooper, H., B. Bossak, B. Tempalski, D. Des Jarlais, and S. Friedman. 2009a. Geographic approaches to quantifying the risk environment: Drug-related law enforcement and access to syringe exchange programmes. The International Journal on Drug Policy 20 (3): 217–226.

    Google Scholar 

  • Cooper, H.L., B.H. Bossak, B. Tempalski, S.R. Friedman, and D.C. Des Jarlais. 2009b. Temporal trends in spatial access to pharmacies that sell over-the-counter syringes in New York City health districts: Relationship to local racial/ethnic composition and need. Journal of Urban Health 86 (6): 929–945.

    Google Scholar 

  • Cornish, J.W., and C.P. O'Brien. 1996. Crack cocaine abuse: An epidemic with many public health consequences. Annual Review of Public Health 17: 259–273.

    Google Scholar 

  • Cranston, K., C. Alpren, B. John, et al. 2019. Notes from the field: HIV diagnoses among persons who inject drugs - northeastern Massachusetts, 2015-2018. MMWR. Morbidity and Mortality Weekly Report 68 (10): 253–254.

    Google Scholar 

  • Cubbin C, Egerter S, Braveman P, Pedregon V. Where we live matters for our health: Neighborhoods and health. 2008.

    Google Scholar 

  • Cummins, S., S. Curtis, A.V. Diez-Roux, and S. Macintyre. 2007. Understanding and representing ‘place’ in health research: A relational approach. Social Science & Medicine 65 (9): 1825–1838.

    Google Scholar 

  • da Costa, A.C.C., C.T. Codeço, E.T. Krainski, M.F.D.C. Gomes, and A.A. Nobre. 2018. Spatiotemporal diffusion of influenza a (H1N1): Starting point and risk factors. PLoS One 13 (9): e0202832.

    Google Scholar 

  • Dasgupta, N., L. Beletsky, and D. Ciccarone. 2018. Opioid crisis: No easy fix to its social and economic determinants. American Journal of Public Health 108 (2): 182–186.

    Google Scholar 

  • Davidson, P.J., S. Scholar, and M. Howe. 2011. A GIS-based methodology for improving needle exchange service delivery. The International Journal on Drug Policy 22 (2): 140–144.

    Google Scholar 

  • Drucker, E., P. Lurie, A. Wodak, and P. Alcabes. 1998. Measuring harm reduction: The effects of needle and syringe exchange programs and methadone maintenance on the ecology of HIV. AIDS 12: S217–S230.

    Google Scholar 

  • Dunn, J.R., and M.V. Hayes. 1999. Toward a lexicon of population health. Canadian Journal of Public Health 90 (1): S7–S10.

    Google Scholar 

  • Dworkis, D.A., L.A. Taylor, D.A. Peak, and B. Bearnot. 2017. Geospatial analysis of emergency department visits for targeting community-based responses to the opioid epidemic. PLoS One 12 (3): e0175115.

    Google Scholar 

  • Earnest, A., M.I. Chen, D. Ng, and L.Y. Sin. 2005. Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Services Research 5 (1): 36.

    Google Scholar 

  • Elliott, P., and D. Wartenberg. 2004. Spatial epidemiology: Current approaches and future challenges. Environmental Health Perspectives 112 (9): 998–1006.

    Google Scholar 

  • Evans, R.G., M.L. Barer, and T.R. Marmor. 1994. Why are some people healthy and others not?: The determinants of the health of populations. Transaction Publishers.

    Google Scholar 

  • Fedorova, E.V., R.V. Skochilov, R. Heimer, et al. 2013. Access to syringes for HIV prevention for injection drug users in St. Petersburg, Russia: Syringe purchase test study. BMC Public Health 13: 183.

    Google Scholar 

  • Fletcher-Lartey, S.M., and G. Caprarelli. 2016. Application of GIS technology in public health: Successes and challenges. Parasitology 143 (4): 401–415.

    Google Scholar 

  • Florence, C., F. Luo, L. Xu, and C. Zhou. 2016. The economic burden of prescription opioid overdose, abuse and dependence in the United States, 2013. Medical Care 54 (10): 901.

    Google Scholar 

  • Getis, A., and J.K. Ord. 2010. The analysis of spatial association by use of distance statistics. In Perspectives on spatial data analysis, 127–145. Berlin, Heidelberg: Springer.

    Google Scholar 

  • ———. 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis 24: 189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x.

    Article  Google Scholar 

  • Getis A. Cliff, A.D. and J.K. Ord. 1973. Spatial autocorrelation. London: Pion. Progress in Human Geography. 1995;19(2):245--249. https://doi.org/10.1177/030913259501900205.

  • Ghertner, R., and L. Groves. 2018. The opioid crisis and economic opportunity: Geographic and economic trends. ASPE Research Brief: 1–22.

    Google Scholar 

  • Guagliardo, M.F. 2004. Spatial accessibility of primary care: Concepts, methods and challenges. International Journal of Health Geographics 3 (1): 3.

    Google Scholar 

  • Haffajee, R.L., L.A. Lin, A.S.B. Bohnert, and J.E. Goldstick. 2019. Characteristics of US counties with high opioid overdose mortality and low capacity to deliver medications for opioid use disorder. JAMA Network Open 2 (6): e196373.

    Google Scholar 

  • Harduar Morano, L., A.L. Steege, and S.E. Luckhaupt. 2018. Occupational patterns in unintentional and undetermined drug-involved and opioid-involved overdose deaths - United States, 2007-2012. MMWR. Morbidity and Mortality Weekly Report 67 (33): 925–930.

    Google Scholar 

  • Hoffman, L.A., B. Lewis, and S.J. Nixon. 2017. Opioid misuse trends in treatment seeking populations: Revised prescription opioid policy and temporally corresponding changes. Substance Use & Misuse 52 (14): 1850–1858.

    Google Scholar 

  • Hudson, T.L., B.G. Klekamp, and S.D. Matthews. 2017. Local public health surveillance of heroin-related morbidity and mortality, Orange County, Florida, 2010-2014. Public Health Reports 132 (1_suppl): 80S–87S.

    Google Scholar 

  • Jago, R., T. Baranowski, and J.C. Baranowski. 2006. Observed, GIS, and self-reported environmental features and adolescent physical activity. American Journal of Health Promotion 20 (6): 422–428.

    Google Scholar 

  • Kimerling, A.J. 2009. Dotting the dot map, revisited. Cartography and Geographic Information Science 36 (2): 165–182.

    Google Scholar 

  • Kline, D., S. Hepler, A. Bonny, and E. McKnight. 2019. A joint spatial model of opioid-associated deaths and treatment admissions in Ohio. Annals of Epidemiology 33: 19–23. https://doi.org/10.1016/j.annepidem.2019.02.004.

    Article  Google Scholar 

  • Kohli, S., K. Sahlen, A. Sivertun, O. Lofman, E. Trell, and O. Wigertz. 1995. Distance from the primary health center: A GIS method to study geographical access to health care. Journal of Medical Systems 19 (6): 425–436.

    Google Scholar 

  • Kohli, S., H. Noorlind Brage, and O. Löfman. 2000. Childhood leukaemia in areas with different radon levels: A spatial and temporal analysis using GIS. Journal of Epidemiology and Community Health 54 (11): 822–826.

    Google Scholar 

  • Koo, D., and S.B. Thacker. 2010. In Snow's footsteps: Commentary on shoe-leather and applied epidemiology. American Journal of Epidemiology 172 (6): 737–739.

    Google Scholar 

  • Kulldorff, M., E.J. Feuer, B.A. Miller, and L.S. Freedman. 1997. Breast cancer clusters in the Northeast United States: A geographic analysis. American Journal of Epidemiology 146 (2): 161–170.

    Google Scholar 

  • Lantos P.M, J. Tsao, L.E. Nigrovic, et al. Geographic expansion of Lyme disease in Michigan, 2000–2014. 2017.

    Google Scholar 

  • Li, Z.R., E. Xie, F.W. Crawford, et al. 2019. Suspected heroin-related overdoses incidents in Cincinnati, Ohio: A spatiotemporal analysis. PLoS Medicine 16 (11): e1002956.

    Google Scholar 

  • Light, R.U. 1944. The progress of medical geography. Geographical Review 34 (4): 636–641.

    Google Scholar 

  • Luo, W. 2004. Using a GIS-based floating catchment method to assess areas with shortage of physicians. Health & Place 10 (1): 1–11.

    Google Scholar 

  • Luo, W., and Y. Qi. 2009. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health & Place 15 (4): 1100–1107.

    Google Scholar 

  • Luo, W., and F. Wang. 2003. Measures of spatial accessibility to health care in a GIS environment: Synthesis and a Case study in the Chicago region. Environment and Planning B: Planning and Design 30 (6): 865–884.

    Google Scholar 

  • MacDonald, M., M. Law, J. Kaldor, J. Hales, and G.J. Dore. 2003. Effectiveness of needle and syringe programmes for preventing HIV transmission. International Journal of Drug Policy 14 (5–6): 353–357.

    Google Scholar 

  • Macintyre, S., A. Ellaway, and S. Cummins. 2002. Place effects on health: How can we conceptualise, operationalise and measure them? Social Science & Medicine 55 (1): 125–139.

    Google Scholar 

  • Manchikanti, L., S. Helm, B. Fellows, et al. 2012. Opioid epidemic in the United States. Pain Physician 15 (3 Suppl): ES9–E38.

    Google Scholar 

  • Martinez, A.N., L.R. Mobley, J. Lorvick, S.P. Novak, A. Lopez, and A.H. Kral. 2014. Spatial analysis of HIV positive injection drug users in San Francisco, 1987 to 2005. International Journal of Environmental Research and Public Health 11 (4): 3937–3955.

    Google Scholar 

  • McLafferty, S.L. 2003. GIS and health care. Annual Review of Public Health 24: 25–42.

    Google Scholar 

  • MDPH. An Assessment of Fatal and Non-Fatal Opioid Overdoses in Massachusetts (2011–2015). http://www.mass.gov/eohhs/docs/dph/stop-addiction/legislative-report-chapter-55-aug-2017.pdf. In:2017.

  • Meyers, D.J., M.E. Hood, and T.J. Stopka. 2014. HIV and hepatitis C mortality in Massachusetts, 2002–2011: Spatial cluster and trend analysis of HIV and HCV using multiple cause of death. PLoS One 9 (12): e114822.

    Google Scholar 

  • Monnat, S.M. 2018. Factors associated with county-level differences in U.S. drug-related mortality rates. American Journal of Preventive Medicine 54 (5): 611–619.

    Google Scholar 

  • Moore, D.A., and T.E. Carpenter. 1999. Spatial analytical methods and geographic information systems: Use in health research and epidemiology. Epidemiologic Reviews 21 (2): 143–161.

    Google Scholar 

  • Newburger, H.B., E.L. Birch, and S.M. Wachter. 2011. Neighborhood and life chances: How place matters in modern America. Philadelphia: University of Pennsylvania Press.

    Google Scholar 

  • Nunn, A., A. Yolken, B. Cutler, et al. 2014. Geography should not be destiny: Focusing HIV/AIDS implementation research and programs on microepidemics in US neighborhoods. American Journal of Public Health 104 (5): 775–780.

    Google Scholar 

  • Oliver, M.N., K.A. Matthews, M. Siadaty, F.R. Hauck, and L.W. Pickle. 2005. Geographic bias related to geocoding in epidemiologic studies. International Journal of Health Geographics 4: 29.

    Google Scholar 

  • Oliver, L.N., N. Schuurman, and A.W. Hall. 2007. Comparing circular and network buffers to examine the influence of land use on walking for leisure and errands. International Journal of Health Geographics 6: 41.

    Google Scholar 

  • Openshaw, S. 1979. A million or so correlation coefficients, three experiments on the modifiable areal unit problem. Statistical Applications in the Spatial Science: 127–144.

    Google Scholar 

  • ———. 1984. The modifiable areal unit problem. Concepts and Techniques in Modern Geography.

    Google Scholar 

  • Openshaw, S., M. Charlton, and A. Craft. 1988. Searching for leukaemia clusters using a geographical analysis machine. Papers in Regional Science 64 (1): 95–106.

    Google Scholar 

  • Ortiz, M.R., N.K. Le, V. Sharma, I. Hoare, E. Quizhpe, E. Teran, et al. 2017. Post-earthquake Zika virus surge: Disaster and public health threat amid climatic conduciveness. Scientific Reports 7 (1): 1–10.

    Google Scholar 

  • Overdose Prevention and Intervention Taskforce. PreventOverdose, RI © 2019. https://preventoverdoseri.org/overdose-deaths/. Accessed.

  • Pacurucu-Castillo, S.F., J.M. Ordóñez-Mancheno, A. Hernández-Cruz, and R.D. Alarcón. 2019. World opioid and substance use epidemic: A Latin American perspective. Psychiatric Research and Clinical Practice 1 (1): 32–38.

    Google Scholar 

  • Peacock J. Minnesota stroke registry hospital service areas and population distribution, 2012 Minnesota Department of Health.

    Google Scholar 

  • Peters, P.J., P. Pontones, K.W. Hoover, et al. 2016. HIV infection linked to injection use of Oxymorphone in Indiana, 2014-2015. The New England Journal of Medicine 375 (3): 229–239.

    Google Scholar 

  • Pollini, R.A., A.E. Rudolph, and P. Case. 2015. Nonprescription syringe sales: A missed opportunity for HIV prevention in California. Journal of the American Pharmaceutical Association (2003) 55 (1): 31–40.

    Google Scholar 

  • Rossen, L.M., D. Khan, and M. Warner. 2014. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health & Place 26: 14–20.

    Google Scholar 

  • Rowe, C., G.M. Santos, E. Vittinghoff, E. Wheeler, P. Davidson, and P.O. Coffin. 2016. Neighborhood-level and spatial characteristics associated with lay naloxone reversal events and opioid overdose deaths. Journal of Urban Health 93 (1): 117–130.

    Google Scholar 

  • Rudd, R.A., N. Aleshire, J.E. Zibbell, and Gladden R. Matthew. 2016. Increases in drug and opioid overdose deaths—United States, 2000–2014. American Journal of Transplantation 16 (4): 1323–1327.

    Google Scholar 

  • Sakai, T., H. Suzuki, A. Sasaki, R. Saito, N. Tanabe, and K. Taniguchi. 2004. Geographic and temporal trends in influenzalike illness, Japan, 1992–1999. Emerging Infectious Diseases 10 (10): 1822.

    Google Scholar 

  • Schnurrer F. Charte uÈber die geographische Ausbreitung der Krankheiten. MuÈnchen [Hand coloured map 495 Â 345 cm World scale 1: 85,000,000 See notice in Isis 1828 XXI: 5 & 6 p 520 for a very brief note of presentation on Sept 22, 1827]. 1827.

    Google Scholar 

  • Schoenfeld, E.R., G.S. Leibowitz, Y. Wang, et al. 2019. Geographic, temporal, and sociodemographic differences in opioid poisoning. American Journal of Preventive Medicine 57 (2): 153–164.

    Google Scholar 

  • Scholl, L., P. Seth, M. Kariisa, N. Wilson, and G. Baldwin. 2018. Drug and opioid-involved overdose deaths - United States, 2013-2017. MMWR. Morbidity and Mortality Weekly Report 67 (5152): 1419–1427.

    Google Scholar 

  • ———. 2019. Drug and opioid-involved overdose deaths—United States, 2013–2017. Morbidity and Mortality Weekly Report 67 (5152): 1419.

    Google Scholar 

  • Sifuna, P., L. Otieno, B. Andagalu, et al. 2018. A spatiotemporal analysis of HIV-associated mortality in rural Western Kenya 2011–2015. Journal of Acquired Immune Deficiency Syndromes (1999) 78 (5): 483.

    Google Scholar 

  • Smith C.M, S.C. Le Comber, H. Fry, M. Bull, S. Leach, and A.C. Hayward. 2015. Spatial methods for infectious disease outbreak investigations: Systematic literature review. Euro Surveillance 20(39).

    Google Scholar 

  • Snow J. On the mode of communication of cholera. John Churchill. 1855.

    Google Scholar 

  • Somerville, N.J., J. O'Donnell, R.M. Gladden, J.E. Zibbell, T.C. Green, M. Younkin, S. Ruiz, H. Babakhanlou-Chase, M. Chan, B.P. Callis, J. Kuramoto-Crawford, H.M. Nields, and A.Y. Walley. 2017. Characteristics of fentanyl overdose - Massachusetts, 2014-2016. MMWR. Morbidity and Mortality Weekly Report 66 (14): 382–386. https://doi.org/10.15585/mmwr.mm6614a2.

    Article  Google Scholar 

  • Spiller, H., D.J. Lorenz, E.J. Bailey, and R.C. Dart. 2009. Epidemiological trends in abuse and misuse of prescription opioids. Journal of Addictive Diseases 28 (2): 130–136.

    Google Scholar 

  • Stahler, G.J., J. Mennis, and D.A. Baron. 2013. Geospatial technology and the "exposome": New perspectives on addiction. American Journal of Public Health 103 (8): 1354–1356.

    Google Scholar 

  • Stopka, T.J., A. Lutnick, L.D. Wenger, K. Deriemer, E.M. Geraghty, and A.H. Kral. 2012. Demographic, risk, and spatial factors associated with over-the-counter syringe purchase among injection drug users. American Journal of Epidemiology 176 (1): 14–23.

    Google Scholar 

  • Stopka, T.J., E.M. Geraghty, R. Azari, E.B. Gold, and K. Deriemer. 2013. Factors associated with presence of pharmacies and pharmacies that sell syringes over-the-counter in Los Angeles County. Journal of Urban Health 90 (6): 1079–1090.

    Google Scholar 

  • Stopka, T.J., C. Krawczyk, P. Gradziel, and E.M. Geraghty. 2014a. Use of spatial epidemiology and hot spot analysis to target women eligible for prenatal women, infants, and children services. American Journal of Public Health 104 (S1): S183–S189.

    Google Scholar 

  • Stopka, T.J., E.M. Geraghty, R. Azari, E.B. Gold, and K. DeRiemer. 2014b. Is crime associated with over-the-counter pharmacy syringe sales? Findings from Los Angeles, California. The International Journal on Drug Policy 25 (2): 244–250.

    Google Scholar 

  • Stopka, T.J., A. Donahue, M. Hutcheson, and T.C. Green. 2017a. Nonprescription naloxone and syringe sales in the midst of opioid overdose and hepatitis C virus epidemics: Massachusetts, 2015. Journal of the American Pharmaceutical Association (2003) 57 (2S): S34–S44.

    Google Scholar 

  • Stopka, T.J., M.A. Goulart, D.J. Meyers, et al. 2017b. Identifying and characterizing hepatitis C virus hotspots in Massachusetts: A spatial epidemiological approach. BMC Infectious Diseases 17 (1): 294.

    Google Scholar 

  • Stopka, T.J., L. Brinkley-Rubinstein, K. Johnson, et al. 2018. HIV clustering in Mississippi: Spatial epidemiological study to inform implementation science in the deep south. JMIR Public Health and Surveillance 4 (2): e35.

    Google Scholar 

  • Stopka, T.J., H. Amaravadi, A.R. Kaplan, et al. 2019a. Opioid overdose deaths and potentially inappropriate opioid prescribing practices (PIP): A spatial epidemiological study. The International Journal on Drug Policy 68: 37–45.

    Google Scholar 

  • Stopka, T.J., E. Jacque, P. Kelso, et al. 2019b. The opioid epidemic in rural northern New England: An approach to epidemiologic, policy, and legal surveillance. Preventive Medicine 128: 105740.

    Google Scholar 

  • Thomas, K.K. 2016. Health and humanity: A history of the Johns Hopkins Bloomberg School of Public Health, 1935–1985. JHU Press.

    Google Scholar 

  • Thornton, L.E., J.R. Pearce, and A.M. Kavanagh. 2011. Using geographic information systems (GIS) to assess the role of the built environment in influencing obesity: A glossary. International Journal of Behavioral Nutrition and Physical Activity 8 (1): 71.

    Google Scholar 

  • Trooskin, S.B., J. Hadler, T. St Louis, and V.J. Navarro. 2005. Geospatial analysis of hepatitis C in Connecticut: A novel application of a public health tool. Public Health 119 (11): 1042–1047.

    Google Scholar 

  • Tsai, P.-J., M.-L. Lin, C.-M. Chu, and C.-H. Perng. 2009. Spatial autocorrelation analysis of health care hotspots in Taiwan in 2006. BMC Public Health 9 (1): 464.

    Google Scholar 

  • Vindenes, T., M.R. Jordan, A. Tibbs, T.J. Stopka, D. Johnson, and J. Cochran. 2018. A genotypic and spatial epidemiologic analysis of Massachusetts' Mycobacterium tuberculosis cases from 2012 to 2015. Tuberculosis (Edinburgh, Scotland) 112: 20–26.

    Google Scholar 

  • Wang, F., and W. Luo. 2005. Assessing spatial and nonspatial factors for healthcare access: Towards an integrated approach to defining health professional shortage areas. Health & Place 11 (2): 131–146.

    Google Scholar 

  • Wangia, V., and T.I. Shireman. 2013. A review of geographic variation and geographic information systems (GIS) applications in prescription drug use research. Research in Social & Administrative Pharmacy 9 (6): 666–687.

    Google Scholar 

  • Wennberg, J. 1973. Gittelsohn. Small area variations in health care delivery. Science 182 (4117): 1102–1108.

    Google Scholar 

  • Wennberg, D.E. 1998. Variation in the delivery of health care: The stakes are high. Annals of Internal Medicine 128 (10): 866–868.

    Google Scholar 

  • Wodak, A., and L. McLeod. 2008. The role of harm reduction in controlling HIV among injecting drug users. AIDS (London, England) 22 (Suppl 2): S81.

    Google Scholar 

  • World Health Organization. Constitution of the world health organization. 1995.

    Google Scholar 

  • Yoo, Y., and A.P. Wheeler. 2019. Using risk terrain modeling to predict homeless related crime in Los Angeles, California. Applied Geography 109: 102039.

    Google Scholar 

  • Yu, H., W.J. Alonso, L. Feng, et al. 2013. Characterization of regional influenza seasonality patterns in China and implications for vaccination strategies: Spatio-temporal modeling of surveillance data. PLoS Medicine 10 (11): e1001552.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas J. Stopka .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shrestha, S., Stopka, T.J. (2022). Spatial Epidemiology and Public Health. In: Faruque, F.S. (eds) Geospatial Technology for Human Well-Being and Health. Springer, Cham. https://doi.org/10.1007/978-3-030-71377-5_4

Download citation

Publish with us

Policies and ethics