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Evaluating scenarios of locations and capacities for vaccine storage in Nigeria.
Hirsh Bar Gai, Dor; Graybill, Zachary; Voevodsky, Paule; Shittu, Ekundayo.
Afiliación
  • Hirsh Bar Gai D; Engineering Management and Systems Engineering, George Washington University, 800 22nd St. NW, Washington, DC 20052, United States.
  • Graybill Z; Engineering Management and Systems Engineering, George Washington University, 800 22nd St. NW, Washington, DC 20052, United States.
  • Voevodsky P; Engineering Management and Systems Engineering, George Washington University, 800 22nd St. NW, Washington, DC 20052, United States.
  • Shittu E; Engineering Management and Systems Engineering, George Washington University, 800 22nd St. NW, Washington, DC 20052, United States. Electronic address: eshittu@gwu.edu.
Vaccine ; 36(24): 3505-3512, 2018 06 07.
Article en En | MEDLINE | ID: mdl-29773321
ABSTRACT
Many developing countries still face the prevalence of preventable childhood diseases because their vaccine supply chain systems are inadequate by design or structure to meet the needs of their populations. Currently, Nigeria is evaluating options in the redesign of the country's vaccine supply chain. Using Nigeria as a case study, the objective is to evaluate different regional supply chain scenarios to identify the cost minimizing optimal hub locations and storage capacities for doses of different vaccines to achieve a 100% fill rate. First, we employ a shortest-path optimization routine to determine hub locations. Second, we develop a total cost minimizing routine based on stochastic optimization to determine the optimal capacities at the hubs. This model uses vaccine supply data between 2011 and 2014 provided by Nigeria's National Primary Health Care Development Agency (NPHCDA) on Tuberculosis, Polio, Yellow Fever, Tetanus Toxoid, and Hepatitis B. We find that a two-regional system with no central hub (NC2) cut costs by 23% to achieve a 100% fill rate when compared to optimizing the existing chain of six regions with a central hub (EC6). While the government's leading redesign alternative - no central three-hub system (Gov NC3) - reduces costs by 21% compared with the current EC6, it is more expensive than our NC2 system by 3%. In terms of capacity increases, optimizing the current system requires 42% more capacity than our NC2 system. Although the proposed Gov NC3 system requires the least increase in storage capacity, it requires the most distance to achieve a 100% coverage and about 15% more than our NC2. Overall, we find that improving the current system with a central hub and all its variants, even with optimal regional hub locations, require more storage capacities and are costlier than systems without a central hub. While this analysis prescribes the no central hub with two regions (NC2) as the least cost scenario, it is imperative to note that other configurations have benefits and comparative tradeoffs. Our approach and results offer some guidance for future vaccine supply chain redesigns in countries with similar layouts to Nigeria's.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención Primaria de Salud / Vacunas / Programas de Inmunización / Bancos de Muestras Biológicas / Modelos Económicos / Almacenaje de Medicamentos Tipo de estudio: Health_economic_evaluation / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Vaccine Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención Primaria de Salud / Vacunas / Programas de Inmunización / Bancos de Muestras Biológicas / Modelos Económicos / Almacenaje de Medicamentos Tipo de estudio: Health_economic_evaluation / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Vaccine Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos