Challenges in humanitarian information management and exchange: evidence from Haiti

Altay, Nezih; Labonte, Melissa

doi:10.1111/disa.12052

Cited by 166 publications

(144 citation statements)

References 24 publications

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“…Therefore, forecasting the evolution of the disasters (e.g., the fire or flood propagation) and incorporating it into the rescue decisions is necessary (Altay and Labonte 2014;Altay and Pal 2014;Oloruntoba 2010).…”

Section: Disaster Dynamic Predictionmentioning

confidence: 99%

Emergency logistics for wildfire suppression based on forecasted disaster evolution

2017

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This paper aims to develop a two-layer emergency logistics system with a single depot and multiple demand sites for wildfire suppression and disaster relief. For the first layer, a fire propagation model is first built using both the flame-igniting attributes of wildfires and the factors affecting wildfire propagation and patterns. Second, based on the forecasted propagation behavior, the emergency levels of fire sites in terms of demand on suppression resources are evaluated and prioritized. For the second layer, considering the prioritized fire sites, the corresponding resource allocation problem and vehicle routing problem (VRP) are investigated and addressed. The former is approached using a model that can minimize the total forest loss (from multiple sites) and suppression costs incurred accordingly. This model is constructed and solved using principles of calculus. To address the latter, a multi-objective VRP model is developed to minimize both the travel time and cost of the resource delivery vehicles. A heuristic algorithm is designed to provide the associated solutions of the VRP model. As a result, this paper provides useful insights into effective wildfire suppression by rationalizing resources regarding different fire propagation rates. The supporting models can also be generalized and tailored to tackle logistics resource optimization issues in dynamic operational environments, particularly those sharing the same feature of single supply and multiple demands in logistics planning and operations (e.g., allocation of ambulances and police forces).

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Section: Disaster Dynamic Predictionmentioning

confidence: 99%

Emergency logistics for wildfire suppression based on forecasted disaster evolution

2017

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“…4,5 As development and rollout of new and underutilized vaccines continues, we will certainly understand more about the epidemiology of vaccine preventable disease. Studies addressing vaccine response in vulnerable populations, for example acutely malnourished children, should be encouraged.…”

mentioning

confidence: 99%

Vaccination in humanitarian crises: satisficing should no longer suffice

Grais¹,

Juan-Giner²

2014

International Health

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“…A guiding principle for the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) is accessibility of information [31]. Other authors have written on the detrimental effect of incompatibility of information in humanitarian information exchange [32]. However, feedback from the program managers stated that in their opinion, the LQAS information would be useful for advocacy with other organisations.…”

Section: Discussionmentioning

confidence: 99%

Using lot quality assurance sampling to assess access to water, sanitation and hygiene services in a refugee camp setting in South Sudan: a feasibility study

et al. 2017

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BackgroundHumanitarian agencies working in refugee camp settings require rapid assessment methods to measure the needs of the populations they serve. Due to the high level of dependency of refugees, agencies need to carry out these assessments. Lot Quality Assurance Sampling (LQAS) is a method commonly used in development settings to assess populations living in a project catchment area to identify their greatest needs. LQAS could be well suited to serve the needs of refugee populations, but it has rarely been used in humanitarian settings. We adapted and implemented an LQAS survey design in Batil refugee camp, South Sudan in May 2013 to measure the added value of using it for sub-camp level assessment.MethodsUsing pre-existing divisions within the camp, we divided the Batil catchment area into six contiguous segments, called ‘supervision areas’ (SA). Six teams of two data collectors randomly selected 19 respondents in each SA, who they interviewed to collect information on water, sanitation, hygiene, and diarrhoea prevalence. These findings were aggregated into a stratified random sample of 114 respondents, and the results were analysed to produce a coverage estimate with 95% confidence interval for the camp and to prioritize SAs within the camp.ResultsThe survey provided coverage estimates on WASH indicators as well as evidence that areas of the camp closer to the main road, to clinics and to the market were better served than areas at the periphery of the camp. This assumption did not hold for all services, however, as sanitation services were uniformly high regardless of location. While it was necessary to adapt the standard LQAS protocol used in low-resource communities, the LQAS model proved to be feasible in a refugee camp setting, and program managers found the results useful at both the catchment area and SA level.ConclusionsThis study, one of the few adaptations of LQAS for a camp setting, shows that it is a feasible method for regular monitoring, with the added value of enabling camp managers to identify and advocate for the least served areas within the camp. Feedback on the results from stakeholders was overwhelmingly positive.

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Challenges in humanitarian information management and exchange: evidence from Haiti

Cited by 166 publications

References 24 publications

Emergency logistics for wildfire suppression based on forecasted disaster evolution

Emergency logistics for wildfire suppression based on forecasted disaster evolution

Vaccination in humanitarian crises: satisficing should no longer suffice

Using lot quality assurance sampling to assess access to water, sanitation and hygiene services in a refugee camp setting in South Sudan: a feasibility study

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