Resource deployment and donation allocation for epidemic outbreaks

Non-profit organizations play a central role in responding to the devastating consequences of epidemic outbreaks in developing economies. We propose an epidemic response model in resource-limited countries that determines the number, size, and location of treatment facilities, deploys critical medical staff, locates ambulances to triage points, and organizes the transportation of severely ill patients to treatment facilities. The model is based on the 2010 cholera outbreak in Haiti and is general enough to be used for similar epidemic outbreaks. The model enables not-for-profit decision-makers to assess health care triage capabilities, transportation needs, and requirements for medical personnel staffing and deployment. We propose an algorithmic procedure using hierarchical constraints and valid inequalities that reduce the solution time by one order of magnitude. Additionally, we propose a framework that can be used to optimally allocate a donation, to determine a list of priorities for earmarked donations, and to perform a cost-benefit analysis of an intervention strategy financed by a donation. The model is formulated as a large integer problem with many symmetries. An extended analysis based on the 2010 cholera outbreak in Haiti provides insights about: the criticality of the resources, the implementation of a balanced response strategy, the optimal allocation of resources in terms of the severity of the attack rate, and the benefits of the proposed response approach with respect to other intervention strategies.

[1]  Karen Hammad,et al.  Infectious diseases following natural disasters: prevention and control measures , 2012, Expert review of anti-infective therapy.

[2]  D. Lemonick Epidemics After Natural Disasters , 2011 .

[3]  Lorenzo zo Somarriba López,et al.  Cholera epidemic in Haiti. Experience of the Cuban Medical Brigade , 2011 .

[4]  Anna Lena Lopez,et al.  The global burden of cholera. , 2012, Bulletin of the World Health Organization.

[5]  M. E. Johnson,et al.  Clinic Capacity Management: Planning Treatment Programs that Incorporate Adherence , 2014 .

[6]  François Margot,et al.  Symmetry in Integer Linear Programming , 2010, 50 Years of Integer Programming.

[7]  Maria Besiou,et al.  Vehicle Supply Chains in Humanitarian Operations: Decentralization, Operational Mix, and Earmarked Funding , 2014 .

[8]  Mitchell G. Weiss,et al.  Costs of Illness Due to Cholera, Costs of Immunization and Cost-Effectiveness of an Oral Cholera Mass Vaccination Campaign in Zanzibar , 2012, PLoS neglected tropical diseases.

[9]  Hanif D. Sherali,et al.  Improving Discrete Model Representations via Symmetry Considerations , 2001, Manag. Sci..

[10]  Thomas K. Dasaklis,et al.  A deterministic resource scheduling model in epidemic control: A case study , 2012, Eur. J. Oper. Res..

[11]  S I Harewood,et al.  Emergency ambulance deployment in Barbados: a multi-objective approach , 2002, J. Oper. Res. Soc..

[12]  Rizvan Erol,et al.  Optimal Resource Allocation Model to Mitigate the Impact of Pandemic Influenza: A Case Study for Turkey , 2010, Journal of Medical Systems.

[13]  Eva K. Lee,et al.  Facility location and multi-modality mass dispensing strategies and emergency response for biodefence and infectious disease outbreaks , 2009 .

[14]  Thomas F Wierzba,et al.  Strategy, demand, management, and costs of an international cholera vaccine stockpile. , 2013, The Journal of infectious diseases.

[15]  David K. Smith,et al.  Use of location-allocation models in health service development planning in developing nations , 2000, Eur. J. Oper. Res..

[16]  Tammy Drezner,et al.  Location of Casualty Collection Points , 2004 .

[17]  Luk N. Van Wassenhove,et al.  Designing Efficient Infrastructural Investment and Asset Transfer Mechanisms in Humanitarian Supply Chains , 2012 .

[18]  Thomas K. Dasaklis,et al.  Epidemics control and logistics operations: A review , 2012 .

[19]  Eric Chavez,et al.  Engaging donors in smart compassion: USAID CIDI’s Greatest Good Donation Calculator , 2015 .

[20]  Paul Farmer,et al.  Five complementary interventions to slow cholera: Haiti , 2010, The Lancet.

[21]  Hau L. Lee,et al.  Using Fairness Models to Improve Equity in Health Delivery Fleet Management , 2014 .

[22]  Luk N. Van Wassenhove,et al.  Using OR to adapt supply chain management best practices to humanitarian logistics , 2012, Int. Trans. Oper. Res..

[23]  Jeffrey W. Herrmann,et al.  Montgomery County's Public Health Service Uses Operations Research to Plan Emergency Mass Dispensing and Vaccination Clinics , 2006, Interfaces.

[24]  A. Gunasekaran,et al.  The sustainable humanitarian supply chain design: agility, adaptability and alignment , 2016 .

[25]  P. Larson,et al.  Not‐for‐profit supply chains in interrupted environments , 2009 .

[26]  Nezih Altay,et al.  OR/MS research in disaster operations management , 2006, Eur. J. Oper. Res..

[27]  S. Basu,et al.  Transmission dynamics and control of cholera in Haiti: an epidemic model , 2011, The Lancet.

[28]  M. Fisher,et al.  CE: Responding to the Cholera Epidemic in Haiti , 2014, The American journal of nursing.

[29]  Nezih Altay,et al.  Challenges in humanitarian information management and exchange: evidence from Haiti. , 2014, Disasters.

[30]  Santiago Kraiselburd,et al.  Supply Chains and Global Health: An Imperative for Bringing Operations Management Scholarship into Action , 2013 .

[31]  Jonathan L. Weigel,et al.  Meeting Cholera's Challenge to Haiti and the World: A Joint Statement on Cholera Prevention and Care , 2011, PLoS neglected tropical diseases.

[32]  Steven Thompson,et al.  Improving disaster response efforts with decision support systems , 2006 .

[33]  Luk N. Van Wassenhove,et al.  Field Vehicle Fleet Management in Humanitarian Operations: A Case-Based Approach , 2010 .

[34]  Aruna Apte,et al.  Casualty Collection Points Optimization: A Study for the District of Columbia , 2015, Interfaces.

[35]  Arunkumar Pennathur,et al.  Modeling hospital response to mild and severe influenza pandemic scenarios under normal and expanded capacities. , 2007, Military medicine.

[36]  H. Sherali,et al.  Defeating symmetry in combinatorial optimization via objective perturbations and hierarchical constraints , 2011 .