Resource Allocation with Sigmoidal Demands: Mobile Healthcare Units and Service Adoption

References

• Agˇrali S, Geunes J (2009) Solving knapsack problems with s-curve return functions. Eur. J. Oper. Res. 193(2):605–615.Crossref, Google Scholar
• Aljassim N, Ostini R (2020) Health literacy in rural and urban populations: A systematic review. Patient Ed. Counseling 103(10):2142–2454.Crossref, Google Scholar
• Aung KK, Hill C, Bennet J, Song Z, Oriol NE (2015) The emerging business models and value proposition of mobile health clinics. Amer. J. Accountable Care 3(4):36–40.Google Scholar
• Barton P, Bryan S, Robinson S (2004) Modelling in the economic evaluation of healthcare: Selecting the appropriate approach. J. Health Services Res. Policy 9(2):110–118.Crossref, Google Scholar
• Bass FM (1969) A new product growth for model consumer durables. Management Sci. 15(5):215–227.Link, Google Scholar
• Bass FM (1980) The relationship between diffusion rates, experience curves, and demand elasticities for consumer durable technological innovations. J. Bus. 53(3):S51–S67.Crossref, Google Scholar
• Bass FM, Krishnan TV, Jain DC (1994) Why the Bass model fits without decision variables. Marketing Sci. 13(3):203–223.Link, Google Scholar
• Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Crotty K (2011) Low health literacy and health outcomes: An updated systematic review. Ann. Internal Medicine 155(2):97–107.Crossref, Google Scholar
• Besiou M, Van Wassenhove LN (2020) Humanitarian operations: A world of opportunity for relevant and impactful research. Manufacturing Service Oper. Management 22(1):135–145.Link, Google Scholar
• Bongaarts J, Watkins SC (1996) Social interactions and contemporary fertility transitions. Population Development Rev. 22(4):639–682.Crossref, Google Scholar
• Boswijk HP, Franses PH (2005) On the econometrics of the Bass diffusion model. J. Bus. Econom. Statist. 23(3):255–268.Crossref, Google Scholar
• Conde-Agudelo A, Rosas-Bermudez A, Castaño F, Norton MH (2012) Effects of birth spacing on maternal, perinatal, infant, and child health: A systematic review of causal mechanisms. Stud. Family Planning 43(2):93–114.Crossref, Google Scholar
• Crouse HL, Macias CG, Cruz AT, Wilson KA, Torrey SB (2010) Utilization of a mobile medical van for delivering pediatric care in the Bateys of the Dominican Republic. Internat. J. Emergency Medicine 3(4):227–232.Crossref, Google Scholar
• de la Torre LE, Dolinskaya IS, Smilowitz KR (2012) Disaster relief routing: Integrating research and practice. Socio-Economic Planning Sci. 46(1):88–97.Crossref, Google Scholar
• de Vries H, Swinkels LE, Van Wassenhove LN (2021a) Policies for mobile family planning services. Production Oper. Management, ePub ahead of print May 29, https://doi.org/10.1111/poms.13484.Crossref, Google Scholar
• de Vries H, van de Klundert J, Wagelmans A (2021b) Towards elimination of infectious diseases with mobile screening teams: HAT in the DRC. Production Oper. Management, ePub ahead of print May 4, https://doi.org/10.1111/poms.13440.Crossref, Google Scholar
• Doerner K, Focke A, Gutjahr WJ (2007) Multicriteria tour planning for mobile healthcare facilities in a developing country. Eur. J. Oper. Res. 179(3):1078–1096.Crossref, Google Scholar
• Duvall S, Thurston S, Weinberger M, Nuccio O, Fuchs-Montgomery N (2014) Scaling up delivery of contraceptive implants in sub-Saharan Africa: Operational experiences of Marie Stopes International. Global Health Sci. Practice 2(1):72–92.Crossref, Google Scholar
• Ergun Ö, Gui L, Heier Stamm JL, Keskinocak P, Swann J (2014) Improving humanitarian operations through technology-enabled collaboration. Production Oper. Management 23(6):1002–1014.Crossref, Google Scholar
• Ferrer JM, Martín-Campo FJ, Ortuño MT, Pedraza-Martínez AJ, Tirado G, Vitoriano B (2018) Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications. Eur. J. Oper. Res. 269(2):501–515.Crossref, Google Scholar
• Feyisetan B, Adetunji J, Starbird E (2017) Stages in the adoption of modern contraceptive methods: Do the growth patterns in developing countries follow the s-curve model? Accessed May 1, 2021, https://tinyurl.com/yylols98.Google Scholar
• Gatignon H, Eliashberg J, Robertson TS (1989) Modeling multinational diffusion patterns: An efficient methodology. Marketing Sci. 8(3):231–247.Link, Google Scholar
• Ginsberg W (1974) The multiplant firm with increasing returns to scale. J. Econom. Theory 9(3):283–292.Crossref, Google Scholar
• Gralla E, Goentzel J (2018) Humanitarian transportation planning: Evaluation of practice-based heuristics and recommendations for improvement. Eur. J. Oper. Res. 269(2):436–450.Crossref, Google Scholar
• Groupo Médico; Global Doctors for Choice Network (2011) Unwanted pregnancy forced continuation of pregnancy and effects on mental health. Accessed May 1, 2021, https://tinyurl.com/y3upratk.Google Scholar
• Hodgson MJ, Laporte G, Semet F (1998) A covering tour model for planning mobile healthcare facilities in Suhum District, Ghana. J. Regional Sci. 38(4):621–638.Crossref, Google Scholar
• Jukes MC, Drake LJ, Bundy DA (2007) School Health, Nutrition and Education for All: Levelling the Playing Field (CABI, Wallingford, United Kingdom).Crossref, Google Scholar
• Keskinocak P, Savva N (2020) A review of the healthcare-management (modeling) literature published in Manufacturing & Service Operations Management. Manufacturing Service Oper. Management 22(1):59–72.Link, Google Scholar
• Laporte G (1992) The vehicle routing problem: An overview of exact and approximate algorithms. Eur. J. Oper. Res. 59(3):345–358.Crossref, Google Scholar
• Lee H, Kim SG, Park Hw, Kang P (2014) Pre-launch new product demand forecasting using the Bass model: A statistical and machine learning-based approach. Tech. Forecasting Soc. Change 86(2014):49–64.Crossref, Google Scholar
• Lenk PJ, Rao AG (1990) New models from old: Forecasting product adoption by hierarchical Bayes procedures. Marketing Sci. 9(1):42–53.Link, Google Scholar
• Lloyd CT, Chamberlain H, Kerr D, Yetman G, Pistolesi L, Stevens FR, Gaughan AE, et al. (2019) Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets. Big Earth Data 3(2):108–139.Crossref, Google Scholar
• Mabuto T, Latka MH, Kuwane B, Churchyard GJ, Charalambous S, Hoffmann CJ (2014) Four models of HIV counseling and testing: Utilization and test results in South Africa. PLoS One 9(7):e102267.Crossref, Google Scholar
• Mauad EC, Silva TB, Latorre MR, Vieira RA, Haikel RL, Vazquez VL, Longatto-Filho A (2011) Opportunistic screening for skin cancer using a mobile unit in Brazil. BMC Dermatology 11(1):12.Crossref, Google Scholar
• McCoy JH, Lee HL (2014) Using fairness models to improve equity in health delivery fleet management. Production Oper. Management 23(6):965–977.Crossref, Google Scholar
• Meade N, Islam T (2006) Modelling and forecasting the diffusion of innovation—a 25-year review. Internat. J. Forecasting 22(3):519–545.Crossref, Google Scholar
• MSI Reproductive Choices (2016) Operational Excellence (Outreach Channel Success Model). Internal guideline.Google Scholar
• MSI Reproductive Choices (2020) Global impact report 2019. Accessed May 1, 2021, https://tinyurl.com/yy4xgcfx.Google Scholar
• MSI Reproductive Choices (2021a) About us—our ambition. Accessed May 1, 2021, https://tinyurl.com/yxuxfvea.Google Scholar
• MSI Reproductive Choices (2021b) Uganda. Accessed May 1, 2021, https://tinyurl.com/y34cddpa.Google Scholar
• Narita R, Diaz MDM (2016) Teenage motherhood, education, and labor market outcomes of the mother: Evidence from Brazilian data. Economia 17(2):238–252.Crossref, Google Scholar
• Natekin A (2020) Open machine learning course mlcourse.ai: Topic 10. Gradient Boosting. Accessed May 1, 2021, https://tinyurl.com/y4zwkyx5.Google Scholar
• Neke NM, Gadau G, Wasem J (2018) Policy makers’ perspective on the provision of maternal health services via mobile health clinics in Tanzania—findings from key informant interviews. PLoS One 13(9):e0203588.Crossref, Google Scholar
• Peres R, Muller E, Mahajan V (2010) Innovation diffusion and new product growth models: A critical review and research directions. Internat. J. Res. Marketing 27(2):91–106.Crossref, Google Scholar
• Plambeck EL, Ramdas K (2020) Alleviating poverty by empowering women through business model innovation: Manufacturing & Service Operations Management insights and opportunities. Manufacturing Service Oper. Management 22(1):123–134.Link, Google Scholar
• Ridgeway G (2019) Generalized boosted models: A guide to the gbm package. Accessed May 1, 2021, http://tinyurl.com/y5alu3nk.Google Scholar
• Rogers EM (2010) Diffusion of Innovations (Simon and Schuster, New York).Google Scholar
• Shoupe D (2016) LARC methods: Entering a new age of contraception and reproductive health. Contraception Reproductive Medicine 1(2016):4.Crossref, Google Scholar
• Singh S, Darroch JE (2012) Adding it up: Costs and benefits of contraceptive services—estimates for 2012. Accessed May 1, 2021, https://tinyurl.com/y2sp4kv2.Google Scholar
• Srivastava V, Bullo F (2014) Knapsack problems with sigmoid utilities: Approximation algorithms via hybrid optimization. Eur. J. Oper. Res. 236(2):488–498.Crossref, Google Scholar
• Starbird E, Norton M, Marcus R (2016) Investing in family planning: Key to achieving the Sustainable Development Goals. Global Health Sci. Practice 4(2):191–210.Crossref, Google Scholar
• Stenberg K, Axelson H, Sheehan P, Anderson I, Gülmezoglu AM, Temmerman M, Mason E, et al. (2014) Advancing social and economic development by investing in women’s and children’s health: A new global investment framework. Lancet 383(9925):1333–1354.Crossref, Google Scholar
• Strasser R (2003) Rural health around the world: Challenges and solutions. Family Practice 20(4):457–463.Crossref, Google Scholar
• Strasser R, Kam SM, Regalado SM (2016) Rural healthcare access and policy in developing countries. Annual Rev. Public Health 37(2016):395–412.Crossref, Google Scholar
• The World Bank (2018) Rural population (% of total population). Accessed May 1, 2021, https://tinyurl.com/y6clzxp3.Google Scholar
• Udell M, Boyd S (2014) Maximizing a sum of sigmoids. Accessed May 1, 2021, https://tinyurl.com/yxfhjplf.Google Scholar
• UN (2019) Global progress in satisfying the need for family planning. Accessed May 1, 2021, https://tinyurl.com/y6pzpypc.Google Scholar
• UN (2020) Youth. Accessed May 1, 2021, https://tinyurl.com/y6nyla2h.Google Scholar
• Vaahtera M, Kulmala T, Maleta K, Cullinan T, Salin ML, Ashorn P (2000) Childhood immunization in rural Malawi: Time of administration and predictors of non-compliance. Ann. Tropical Paediatrics 20(4):305–312.Crossref, Google Scholar
• Van den Bulte C, Stremersch S (2004) Social contagion and income heterogeneity in new product diffusion: A meta-analytic test. Marketing Sci. 23(4):530–544.Link, Google Scholar
• van Maarseveen R (2020) The urban rural-education gap: Do cities indeed make us smarter? CPB Discussion Paper. Accessed May 1, 2021, https://tinyurl.com/yxn6y7kb.Google Scholar
• Van Rijn L, de Vries H, Van Wassenhove LN (2020) Decentralized site assignment for family planning outreach teams. Unpublished manuscript.Google Scholar
• WHO (2012) From evidence to policy: Expanding access to family planning. Accessed May 1, 2021, https://tinyurl.com/y4nhc2ou.Google Scholar
• WHO (2019a) Maternal mortality. Accessed May 1, 2021, https://tinyurl.com/y6kqygtv.Google Scholar
• WHO (2019b) Preventing unsafe abortion. Accessed May 1, 2021, https://tinyurl.com/y3y4ctwo.Google Scholar
• WHO; The World Bank (2017) Tracking universal health coverage: 2017 global monitoring report. Accessed May 1, 2021, https://tinyurl.com/y3ek945p.Google Scholar
• Wickstrom J, Yanulis J, Van Lith L, Jones B (2013) Approaches to mobile outreach services for family planning: A descriptive inquiry in Malawi, Nepal, and Tanzania. Accessed May 1, 2021, https://tinyurl.com/cfswmz5q.Google Scholar
• WorldPop, CIESIN, Columbia University (2018) The spatial distribution of population in 2020, Uganda. Accessed May 1, 2021, https://tinyurl.com/y4qy8hox.Google Scholar