The conference hosted posters relating to research, new projects or solutions in health and humanitarian logistics. A typical poster summarizes work done (e.g., by NGOs, companies, academics, or others) to solve a particular problem. This type of presentation is a great way of obtaining feedback and generating discussions with conference attendees.
Poster sessions were not recorded.
Registered attendees can visit the BREAKOUT SESSION page to access information for each presenter and their related materials. https://chhs.gatech.edu/conference/2020/attendeeportal/breakouts/day1 .
Non-registered visitors can access a pdf copy of each poster below.
For more information on the submissions process, please review the Poster Presentation Guidelines page.https://chhs.gatech.edu/conference/2020/posters/overview
We present a mutual catastrophe insurance framework for the prepositioning of strategic reserves where a risk averse insurer provides multi-year insurance contracts to a portfolio of risk averse policyholders. The framework encompasses the logistical functions associated with planning the prepositioning of strategic reserves in preparedness for incoming insurance claims post-disasters in the form of needed quantities of emergency supplies, the insurance functions of designing the insurance contracts of each policyholder in the portfolio and providing insurance coverage, and the financial function of managing the financial capital of the insurer.
Micro-nutrient deficiency continues to be a practical problem when trying to use them in the developing world, and issuance which could improve their overall health, and help strengthen a country. This even becomes more noticeable during natural disasters, when humanitarian relief intensifies as families and missionary workers work together to provide food and water during some of life's most devastating moments. Water can become more impure or contaminated as it is more exposed to the elements during natural disasters, and while becomes more limited during natural disasters, war, or simply a deficient or broken infra-structure that affects the water and food supply. We have developed a revolutionary mixing system that offers increased convenience while preventing the dangerous health issues associated with the premixed formula, micro-nutrient supplements and/or a lack of understanding in preparing powdered supplements. Our system requires no hands on mixing, less chances of cross-contamination, no bacterial growth before or during mixing micro-nutrient supplements, and/or wellness medication, because there's no transferring of contents from the container to the cup or bottle. Our system comes pre-packaged, with powder micronutrient supplements separate in the same biodegradable pouch with the water allowing mixing to take place anytime and anyplace. All while eliminating the risk of bacterial accumulation that can occur from the environments or when mixed formula and/or supplements become stagnant for long periods of time.
The binational research project NutriSafe explores the use of Distributed Ledger Technology (DLT) to cope with incidents impacting food safety and security to increase resilience of food supply chains. German research partners cover the field of food safety with two scenarios (organic cooked ham and soft cheese) and focus on small and medium-sized incidents that result in product contamination or loss of production capacity. In contrast, the Austrian consortium concentrates on food security, looking at three staple foods (table potatoes, drinking milk and pork). It focusses on significant disaster events with the potential to disrupt the national food supply.
Emerging infectious diseases pose a threat to global health and to the economy. Vaccines are widely recognized as a powerful preventive measure to fight pandemics. However, not is only the development of vaccines challenging, but also the manufacturing and distribution are not trivial. It requires a substantial capital investment, while many uncertainties reside. In order to avoid delays once the vaccine candidates are ready, a global vaccine manufacturing and distribution network is needed. Designing this network is one of the priorities of The Coalition for Epidemic Preparedness Innovation (CEPI). As it is hard to predict which disease will cause the next outbreak, it is mandatory to simultaneously improve preparedness strategies for multiple diseases with pandemic potential.
We developed an agent-based simulation model that utilizes COVID19-specific parameters and data from Georgia on population interactions and demographics to project the infection spread. We analyzed different social distancing scenarios, including baselines (no-intervention or school closure only) and combinations of shelter-in-place and voluntary quarantine with different timelines and compliance levels. The results suggest that shelter-in-place followed by voluntary quarantine reduced peak infections and delayed the peak. In addition, we evaluated the tradeoffs between potential benefits (e.g., reduction in infection spread and deaths) of interventions for COVID19 and being homebound (i.e., refraining from community or workplace interactions), showing that voluntary quarantine combined with school closure significantly reduced the number of infections and deaths with a considerably smaller number of homebound person-days compared to shelter-in-place.
Healthcare organizations worldwide are faced with complex problems, which often require efficient and quick solutions. A wide range of models can be used to inform decisions and to support healthcare professionals and managers in introducing service improvements. This research explores the use of Operations Research (OR) models and their implementation in the UK healthcare sector. We carry out a thematic analysis of the literature on the enablers and barriers of model implementation by reviewing scholarly articles in this sector, with the view to developing a framework of the key factors that affect model implementation. We then cross-validate our findings through interviews with healthcare professionals. These professionals are associated with the UK National Health Service (NHS) as decision-makers, researchers and modelers. Analysis of the interview data along with the literature review help finalize the suggested framework. Hence, this research aims to improve and motivate the implementation of OR models in the healthcare sector.
Millions of tons of food assistance are distributed each year by the U.S. Agency for International Development’s (USAID) Food for Peace (FFP) program. Yet, food needs always exceed the resources available to meet them; efficiency gains in existing supply chains can help close this gap. We develop an economic optimization model to assess the potential efficiency gains associated with changes in the planning time horizon (PTH) for decision-making, alternative commodity prepositioning options, and alternative flag regulation rules for ocean shipping. The model focused on a very significant commodity (yellow split peas) delivered to the Somali region of Ethiopia, one of the largest FFP recipient countries.
Mobile clinic deployments are commonly used to provide healthcare services as part of humanitarian relief efforts. We present a multiperiod location routing (MLRP) model for the tactical planning of mobile clinic deployment that captures the time-dependenct nature of mobile clinic deployments for humanitarian relief. The optimization of the proposed model yields the selection of depots and the routes that will be performed at each time period through the planning horizon, i.e., the tactical plan. Results are presented for real world data from a mobile clinic deployment in Iraq, including sensitivity analyses on the modeling of covering and continuity, and the effect of strategic decisions, e.g., number of mobile clinics. Managerial insights are also presented.
We determine optimal depot locations for humanitarian logistics service providers, while incorporating uncertainty in the location and scale of future disasters. We develop a practical, data-driven, approach that efficiently computes results regarding the optimal network sizes and the optimal locations of depots. Among other things, we show that uncertainty reduction plays a crucial role when deciding upon these choices.
Large disasters and catastrophic events pose unique challenges to the humanitarian sector, particularly the distribution of relief supplies. The reason is that resources are mostly or entirely destroyed in the affected area, and local supplies may not be available for the population in need. As a result, prepositioning of relief is essential, unless there are supplies from the private sector that could benefit the response. This research focuses on the location of points of distribution (PODs), where I propose a continuous-approximation model that computes the optimal number of PODs and shapes of the service areas, such that the total social costs, i.e., the summation of the logistics costs and the deprivation costs, are minimized. Ultimately, disaster responders can use these findings at the planning stage to allocate resources better and provide alternative distribution strategies of relief in the affected regions.