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Katastrofsjukhus : En ny robust typ av fältsjukhus / Emergency Hospital : A new robust type of field hospitalPehrson, Malin, Foss, Karin January 2012 (has links)
Denna rapport beskriver framtagandet av Katastrofsjukhus, robustare fältsjukhus med förbättrad standard. Jämförelse görs mellan det framtagna Katastrofsjukhuset och uppblåsbara tältsjukhus samt standarden i svenska sjukhus. En färdig produkt finns ännu inte framtagen och rapporten lämnar en hel del lösa trådar, men är en bra grund för mer omfattande utveckling av konceptet och som en idéstudie till en vetenskaplig avhandling eller annan fortsatt forskning. Problemet med befintliga fältsjukhus är främst miljön i operationsavdelningen. Detta är något det lagts stor vikt vid och en strävan att uppnå svensk standard har genomsyrat hela processen. En annan viktig punkt vid framtagandet av Katastrofsjukhus har varit konstruktionens vikt, vilket är tältsjukhusens största fördel. Vikten är av stor betydelse vid både transport och uppbyggnad. Katastrofsjukhusets konstruktion utgår ifrån standardcontainrar för att skapa goda transportmöjligheter. Containrarna är en del av konstruktionen och de rymmer prefabricerade element som utgör Katastrofsjukhusets huvudmodul. Konstruktionen är dimensionerad för att klara kraftiga snö- och vindlaster. Trots detta har elementen gjorts så lätta att det är möjligt att bygga upp hela sjukhuset för hand. Dimensionering efter laster som verkar under en jordbävning har också beräknats redovisas inte i detta arbete då de ej är fullständiga. Utformningen av Katastrofsjukhuset har gjorts för att på bästa sätt fylla det stora behov som finns av sterila operationssalar, samtidigt som planlösningen är anpassningsbar för att Katastrofsjukhuset ska kunna erbjuda olika typer av vård. Rapporten ger även rekommendationer för fortsatt utveckling av Katastrofsjukhuset. / This report describes the development of Emergency Hospital, a robust field hospital with an improved standard. Comparison is made between the developed Emergency Hospital and inflatable tent hospitals and with the standard in Swedish hospitals. A completed product is not presented in this report and it leaves a lot of loose ends, but is a good basis for more extensive development of the concept and as a conceptual study of a scientific treatise, or other continued research. The problem with existing field hospitals is mainly the environment in the operating theater. This is something that has been a strong focus, and a desire to achieve the Swedish standard has permeated the entire process. Another important point in the development of Emergency Hospital has been the mass of the structure, which is the tent hospitals' greatest advantage. The weight is of great importance in both transportation and construction. The Emergency Hospital's design is based on standard containers to provide good transportation possibilities. The containers are a part of the design and they also contain all the prefabricated elements which create the Emergency Hospital's main module. The structure is dimensioned to handle heavy snow and wind loads. Nevertheless, the elements made so light that it is possible to build up the hospital by hand. The design for loads acting during an earthquake has been calculated, but is not included in this report since they are not complete. The hospital has been designed to fill the large needs for sterile operating room, but at the same time the layout is adaptable for different types of care needs. The report also gives recommendations for further development of the Emergency Hospital.
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Strategic Placing of Field Hospitals Using Spatial Analysis / Strategisk Lokalisering av Fältsjukhus med Spatial AnalysRydén, Magnus January 2011 (has links)
Humanitarian help organisations today may benefit on improving their location analysis when placing field hospitals in countries hit by a disasters or catastrophe. The main objective of this thesis is to develop and evaluate a spatial decision support method for strategic placing of field hospitals for two time perspectives, long term (months) and short term (weeks). Specifically, the possibility of combining existing infrastructure and satellite data is examined to derive a suitability map for placing field hospitals. Haut-Katanga in Congo is used as test area where exists a large variety of ground features and has been visited by aid organisations in the past due to epidemics and warzones. The method consists of several steps including remote sensing for estimation of population density, a Multi Criteria Evaluation (MCE) for analysis of suitability, and visualization in a webmap. The Population density is used as a parameter for an MCE operation to create a decision support map for locating field hospitals. Other related information such as road network, water source and landuse is also taken into consideration in MCE. The method can generate a thematic map that highlights the suitability value of different areas for field hospitals. By using webmap related technologies, these suitability maps are also dynamic and accessible through the Internet. This new approach using the technology of dasymetric mapping for population deprival together with an MCE process, yielded a method with the result being both a standalone population distribution and a suitability map for placing field hospitals with the population distribution taken into consideration. The use of dasymetric mapping accounted for higher resolution and the ability to derive new population distributions on demand due to changing conditions rather than using pre-existing methods with coarser resolution and a more seldom update rate. How this method can be used in other areas is also analysed. The result of the study shows that the created maps are reasonable and can be used to support the locating of field hospitals by narrowing down the available areas to be considered. The results from MCE are compared to a real field hospital scenario, and it is shown that the proposed method narrows down the localisation options and shortens the time required for planning an operation. The method is meant to be used together with other decision methods which involves non spatial factors that are beyond the scope of this thesis.
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