Dataset Information

Sinkhole susceptibility mapping in Marion County, Florida: Evaluation and comparison between analytical hierarchy process and logistic regression based approaches.

ABSTRACT: Sinkholes are the major cause of concern in Florida for their direct role on aquifer vulnerability and potential loss of lives and property. Mapping sinkhole susceptibility is critical to mitigating these consequences by adopting strategic changes to land use practices. We compared the analytical hierarchy process (AHP) based and logistic regression (LR) based approaches to map the areas prone to sinkhole activity in Marion County, Florida by using long-term sinkhole incident report dataset. For this study, the LR based model was more accurate with an area under the receiver operating characteristic (ROC) curve of 0.8 compared to 0.73 with the AHP based model. Both models performed better when an independent future sinkhole dataset was used for validation. The LR based approach showed a low presence of sinkholes in the very low susceptibility class and low absence of sinkholes in the very high susceptibility class. However, the AHP based model detected sinkhole presence by allocating more area to the high and very high susceptibility classes. For instance, areas susceptible to very high and high sinkhole incidents covered almost 43.4% of the total area under the AHP based approach, whereas the LR based approach allocated 20.7% of the total area to high and very high susceptibility classes. Of the predisposing factors studied, the LR method revealed that closeness to topographic depression was the most important factor for sinkhole susceptibility. Both models classified Ocala city, a populous city of the study area, as being very vulnerable to sinkhole hazard. Using a common test case scenario, this study discusses the applicability and potential limitations of these sinkhole susceptibility mapping approaches in central Florida.

SUBMITTER: Subedi P

PROVIDER: S-EPMC6509126 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Sinkhole susceptibility mapping in Marion County, Florida: Evaluation and comparison between analytical hierarchy process and logistic regression based approaches.

Subedi Praveen P Subedi Kabiraj K Thapa Bina B Subedi Pradeep P

Scientific reports 20190509 1

Sinkholes are the major cause of concern in Florida for their direct role on aquifer vulnerability and potential loss of lives and property. Mapping sinkhole susceptibility is critical to mitigating these consequences by adopting strategic changes to land use practices. We compared the analytical hierarchy process (AHP) based and logistic regression (LR) based approaches to map the areas prone to sinkhole activity in Marion County, Florida by using long-term sinkhole incident report dataset. For ...[more]

PMID: 31073184

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Project description:BackgroundUnited Nations Sustainable Development Goal 3 outlines the target of reducing premature mortality from non-communicable diseases by one third through prevention and treatment by 2030. In low and middle-income countries (LMICs) like Nepal, a significant number of people do not have accessible and affordable healthcare services available to them, leading to self-medication practices (SMP). Limited numbers of health professionals, ineffective regulation and easy availability of prescription medicines encourage the use of inappropriate SMP, which could result in health risks.ObjectivesThe objection of the study is to test the application of Analytical Hierarchy Process (AHP) for prioritizing the intervention measures for preventing inappropriate SMP.MethodsThe 25 experts were included in the study, out of which only 16 experts passed the consistency test. Data were collected using a structured questionnaire by the application of AHP model for ranking the intervention measures for preventing inappropriate SMP from March 2020 to May 2020. During this process, the purposively selected experts compared seven intervention measures based on three criteria: control use of prescription and non-prescription medicine, knowledge regarding the medicine and its use, and minimizing healthcare cost.ResultThe criteria, "control use of prescription and non-prescription medicine" was judged 3.58 times and 1.53 times more important than to "minimize the healthcare cost" and "knowledge regarding the medicine and its use" respectively. "Regulation of prescription and non-prescription dispensing practice" was the most prioritized intervention measure to prevent inappropriate SMP with a priority score of 20.68% followed by the "accessibility of healthcare system" (19.27%) and "awareness program for the consumers" (17.13%).ConclusionThe AHP method can be used in decision-making related to prioritizing the intervention measures to prevent inappropriate SMP. Among the seven intervention measures considered, "regulation of prescription and non-prescription dispensing practice" was the most preferred intervention measure to improve SMP followed by "access to healthcare" and an "awareness program".

Project description:Radiology department as a service provider organization requires realization of quality concept concerning service provisioning knowledge, satisfaction and all issues relating to the customer as well as quality assurance and improvement issues. At present, radiology departments in hospitals are regarded as income generating units and they should continuously seek performance improvement so that they can survive in the changing and competitive environment of the health care sector.The aim of this study was to propose a method for ranking of radiology departments in selected hospitals of Tehran city using analytical hierarchical process (AHP) and quality evaluation of their service in 2015.This study was an applied and cross-sectional study, carried out in radiology departments of 6 Tehran educational hospitals in 2015. The hospitals were selected using non-probability and purposeful method. Data gathering was performed using customized joint commission international (JCI) standards. Expert Choice 10.0 software was used for data analysis. AHP method was used for prioritization."Management and empowerment of human resources'' (weight = 0.465) and "requirements and facilities" (weight = 0.139) were of highest and lowest significance respectively in the overall ranking of the hospitals. MS (weight = 0.316), MD (weight = 0.259), AT (weight = 0.14), TS (weight = 0.108), MO (weight = 0.095), and LH (0.082) achieved the first to sixth rankings respectively.The use of AHP method can be promising for fostering the evaluation method and subsequently promotion of the efficiency and effectiveness of the radiology departments. The present model can fill in the gap in the accreditation system of the country's hospitals in respect with ranking and comparing them considering the significance and value of each individual criteria and standard. Accordingly, it can predict an integration of qualitative and quantitative criteria involved and thereby take a decisive step towards further efficiency and effectiveness of the health care evaluation systems.

Dataset Information

Sinkhole susceptibility mapping in Marion County, Florida: Evaluation and comparison between analytical hierarchy process and logistic regression based approaches.

Publications

Sinkhole susceptibility mapping in Marion County, Florida: Evaluation and comparison between analytical hierarchy process and logistic regression based approaches.

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