Forecasting the demand of mobile clinic services at vulnerable communities based on integrated multi-source data

References

• Adler, N. E., & Stewart, J. (2010). Health disparities across the lifespan: Meaning, methods, and mechanisms. Annals of the New York Academy of Sciences, 1186(1), 5–23. https://doi.org/10.1111/j.1749-6632.2009.05337.x
   PubMed Web of Science ®Google Scholar
• Andre, F. E., Booy, R., Bock, H. L., Clemens, J., Datta, S. K., John, T. J., Lee, B. W., Lolekha, S., Peltola, H., Ruff, T. A., Santosham, M., & Schmitt, H. J. (2008). Vaccination greatly reduces disease, disability, death and inequity worldwide. Bulletin of the World Health Organization, 86(2), 140–146. https://doi.org/10.2471/blt.07.040089
   PubMed Web of Science ®Google Scholar
• Aregay, M., Lawson, A. B., Faes, C., & Kirby, R. S. (2017). Bayesian multi-scale modeling for aggregated disease mapping data. Statistical Methods in Medical Research, 26(6), 2726–2742. https://doi.org/10.1177/0962280215607546
   Web of Science ®Google Scholar
• Attipoe-Dorcoo, S., Delgado, R., Gupta, A., Bennet, J., Oriol, N. E., & Jain, S. H. (2020). Mobile health clinic model in the COVID-19 pandemic: Lessons learned and opportunities for policy changes and innovation. International Journal for Equity in Health, 19(1), 1–5. https://doi.org/10.1186/s12939-020-01175-7
   Web of Science ®Google Scholar
• Crouch, E., & Dickes, L. A. (2015). A prediction model of childhood immunization rates. Applied Health Economics and Health Policy, 13(2), 243–251. https://doi.org/10.1007/s40258-015-0157-6
   PubMed Web of Science ®Google Scholar
• Davis, M. M., Zimmerman, J. L., Wheeler, J. R., & Freed, G. L. (2002). Childhood vaccine purchase costs in the public sector: Past trends, future expectations. American Journal of Public Health, 92(12), 1982–1987. https://doi.org/10.2105/ajph.92.12.1982
   Web of Science ®Google Scholar
• Environmental Systems Research Institute (ESRI) (2012). ArcGIS Release 10.1. Redlands, CA. Retrieved July 10, 2018, from https://www.esri.com/en-us/arcgis/products/arcgis-pro/ .
   Google Scholar
• Fine, P. E. (1993). Herd immunity: History, theory, practice. Epidemiologic Reviews, 15(2), 265–302. https://doi.org/10.1093/oxfordjournals.epirev.a036121
   PubMed Web of Science ®Google Scholar
• Foster, S. D., Shimadzu, H., & Darnell, R. (2012). Uncertainty in spatially predicted covariates: Is it ignorable? Journal of the Royal Statistical Society: Series C (Applied Statistics), 61(4), 637–652.
   Web of Science ®Google Scholar
• Gotway, C. A., & Young, L. J. (2002). Combining incompatible spatial data. Journal of the American Statistical Association, 97(458), 632–648. https://doi.org/10.1198/016214502760047140
   Web of Science ®Google Scholar
• Guruge, S., Hunter, J., Barker, K., McNally, M. J., & Magalhães, L. (2010). Immigrant women's experiences of receiving care in a mobile health clinic. Journal of Advanced Nursing, 66(2), 350–359. https://doi.org/10.1111/j.1365-2648.2009.05182.x
   PubMed Web of Science ®Google Scholar
• Haining, R., & Haining, R. P. (2003). Spatial data analysis: theory and practice. Cambridge University Press.
   Google Scholar
• Heller, B. R., & Goldwater, M. R. (2004). The Governor's Wellmobile: Maryland's mobile primary care clinic. The Journal of Nursing Education, 43(2), 92–94. https://doi.org/10.3928/01484834-20040201-11
   PubMed Web of Science ®Google Scholar
• Hemenway, D. (1994). Teaching tools: Economics of childhood immunization. Economic Inquiry, 32(3), 519–523. https://doi.org/10.1111/j.1465-7295.1994.tb01348.x
   Web of Science ®Google Scholar
• Hinman, A. R. and National Vaccine Advisory Committee. (2005). Financing vaccines in the 21st century: Recommendations from the National Vaccine Advisory Committee. American Journal of Preventive Medicine, 29(1), 71–75. https://doi.org/10.1016/j.amepre.2005.03.005
   PubMed Web of Science ®Google Scholar
• HISD Annual Report of Immunization Status. Retrieved via information requests with Houston Independent School District.
   Google Scholar
• HISD Campus Demographic Report. Retrieved October 9, 2019, from https://www.houstonisd.org/Page/110,554 .
   Google Scholar
• HISD in school clinics information. Retrieved October 11, 2019, from https://www.houstonisd.org/healthclinics .
   Google Scholar
• Jain, M., Taneja, G., Amin, R., Steinglass, R., & Favin, M. (2015). Engaging communities with a simple tool to help increase immunization coverage. Global Health, Science and Practice, 3(1), 117–125. https://doi.org/10.9745/GHSP-D-14-00180
   Web of Science ®Google Scholar
• Jones, C. A., Clement, L. T., Hanley-Lopez, J., Morphew, T., Kwong, K. Y. C., Lifson, F., Opas, L., & Guterman, J. J. (2005). The Breathmobile Program: structure, implementation, and evolution of a large-scale, urban, pediatric asthma disease management program. Disease Management : Dm, 8(4), 205–222. https://doi.org/10.1089/dis.2005.8.205
   PubMedGoogle Scholar
• Kuhn, M. (2008). Building predictive models in R using the caret package. Journal of Statistical Software, 28(5), 1–26. https://doi.org/10.18637/jss.v028.i05
   PubMed Web of Science ®Google Scholar
• Kuhn, M., Johnson. K. (2013). Applied predictive modeling. (Vol. 26). Springer.
   Google Scholar
• MD Anderson’s Mobile Mammography Van. Retrieved September 10, 2020, from https://www.mdanderson.org/prevention-screening/get-screened/mobile-mammography.html
   Google Scholar
• Morano, J. P., Zelenev, A., Lombard, A., Marcus, R., Gibson, B. A., & Altice, F. L. (2014). Strategies for hepatitis C testing and linkage to care for vulnerable populations: Point-of-care and standard HCV testing in a mobile medical clinic. Journal of Community Health, 39(5), 922–934. https://doi.org/10.1007/s10900-014-9932-9
   PubMed Web of Science ®Google Scholar
• Munthali, A. C. (2007). Determinants of vaccination coverage in Malawi: Evidence from the demographic and health surveys. Malawi Medical Journa, 19(2), 79–82.
   PubMedGoogle Scholar
• Nesterov, Y., & Nemirovskii, A. (1995). Interior-Point Polynomial Algorithms in Convex Programming. Society for Industrial and Applied Mathematics.
   Google Scholar
• O’Malley, A. S., & Forrest, C. B. (2006). Immunization disparities in older Americans: Determinants and future research needs. American Journal of Preventive Medicine, 31(2), 150–158. https://doi.org/10.1016/j.amepre.2006.03.021
   PubMed Web of Science ®Google Scholar
• Oliver, M. A., & Webster, R. (1990). Kriging: A method of interpolation for geographical information systems. International Journal of Geographical Information Systems, 4(3), 313–332. https://doi.org/10.1080/02693799008941549
   Google Scholar
• Plans-Rubió, P. (2012). Evaluation of the establishment of herd immunity in the population by means of serological surveys and vaccination coverage. Human Vaccines & Immunotherapeutics, 8(2), 184–188. https://doi.org/10.4161/hv.18444
   PubMed Web of Science ®Google Scholar
• Rajan, S. S., Roy, D., & Delgado, R. (2020). Factors associated with childhood vaccination adherence in kindergartens of the Houston Independent School District. Journal of Public Health Management and Practice : Jphmp, 26(2), 131–138. https://doi.org/10.1097/PHH.0000000000001093
   Web of Science ®Google Scholar
• Schoen, C., Radley, D., Riley, P., Lippa, J. A., Berenson, J., Dermody, C., Shih, A. (2013). Health care in the two Americas: Findings from the scorecard on state health system performance for low-income populations. Retrieved from https://www.commonwealthfund.org/publications/fund-reports/2013/sep/health-care-two-americas-findings-scorecard-state-health-system/.
   Google Scholar
• Stephanie, WY Y., Hill, C., Ricks, M L., Bennet, J., & Oriol, N E. (2017). The scope and impact of mobile health clinics in the United States: A literature review. International Journal for Equity in Health, 16(1), 178 https://doi.org/10.1186/s12939-017-0671-2
   PubMedGoogle Scholar
• Stephens, D. S. (2011). Protecting the herd: The remarkable effectiveness of the bacterial meningitis polysaccharide-protein conjugate vaccines in altering transmission dynamics. Transactions of the American Clinical and Climatological Association, 122, 115–123.
   PubMedGoogle Scholar
• The Texas Children’s Mobile Clinics, Services. Retrieved from https://www.texaschildrens.org/departments/mobile-clinics/services
   Google Scholar
• Truong, P. N., & Stein, A. (2018). A hierarchically adaptable spatial regression model to link aggregated health data and environmental data. Spatial Statistics, 23, 36–51. https://doi.org/10.1016/j.spasta.2017.11.002
   Web of Science ®Google Scholar
• United States Census Bureau, America Community Survey (ACS) (2019). 5 Year Estimates Data Profiles. Retrieved October 10, from https://data.census.gov/cedsci/all?t=Race%20and%20Ethnicity&d=ACS%205-Year%20Estimates%20Data%20Profiles)
   Google Scholar
• Williams, M., Oriol, N., & Vavasis, A. (2019). Mobile health map, Impact Report. Retrieved September 10, 2020, from https://www.mobilehealthmap.org/impact-report .
   Google Scholar
• Xie, J., & Dow, W. H. (2005). Longitudinal study of child immunization determinants in China. Soc Sci Med), 61(3), 601–611. https://doi.org/10.1016/j.socscimed.2004.12.016
   Web of Science ®Google Scholar
• Zhang, Z., Manjourides, J., Cohen, T., Hu, Y., & Jiang, Q. (2016). Spatial measurement errors in the field of spatial epidemiology. International Journal of Health Geographics, 15(1), 21. https://doi.org/10.1186/s12942-016-0049-5
   Google Scholar