scholarly journals COVID-19: A Vaccine Priority Index Mapping Tool for Rapidly Assessing Priority Populations in North Carolina

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Gregory Kearney ◽  
Katherine Jones ◽  
Yoo Min Park ◽  
Robert Howard ◽  
Ray H. Hylock ◽  
...  
Keyword(s):  
Decision Making ◽  
North Carolina ◽  
High Risk ◽  
Geographical Information ◽  
Decision Making Process ◽  
Public Health Response ◽  
Risk Population ◽  
Web Mapping ◽  
Mapping Tool ◽  
Priority Population

Background: The initial limited supply of COVID-19 vaccine in the U.S. presented significant allocation, distribution, and delivery challenges. Information that can assist health officials, hospital administrators and other decision makers with readily identifying who and where to target vaccine resources and efforts can improve public health response. Objective: The objective of this project was to develop a publicly available geographical information system (GIS) web mapping tool that would assist North Carolina health officials readily identify high-risk, high priority population groups and facilities in the immunization decision making process. Methods: Publicly available data were used to identify 14 key health and socio-demographic variables and 5 differing themes (social and economic status; minority status and language; housing situation; at risk population; and health status). Vaccine priority population index (VPI) scores were created by calculating a percentile rank for each variable over each N.C. Census tract. All Census tracts (N = 2,195) values were ranked from lowest to highest (0.0 to 1.0) with a non-zero population and mapped using ArcGIS. Results: The VPI tool was made publicly available (https://enchealth.org/) during the pandemic to readily assist with identifying high risk population priority areas in N.C. for the planning, distribution, and delivery of COVID-19 vaccine.Discussion: While health officials may have benefitted by using the VPI tool during the pandemic, a more formal evaluation process is needed to fully assess its usefulness, functionality, and limitations. Conclusion: When considering COVID-19 immunization efforts, the VPI tool can serve as an added component in the decision-making process.

scholarly journals Drought Hazard Modelling of Klaten Regency Central Java Using AHP and TOPSIS Method

2021 ◽  
Vol 936 (1) ◽  
pp. 012043
Author(s):  
Meiga Nugrahani ◽  
Purnama Budi Santosa
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Geographical Information Systems ◽  
Public Works ◽  
Disaster Mitigation ◽  
Geographical Information ◽  
Topsis Method ◽  
Drought Vulnerability ◽  
Central Java ◽  
The Impact

Abstract According to information of areas at high risk of drought provided by Central Java disaster risk assessment in 2016 - 2020, Klaten Regency is in the top ten at high risk of drought in Central Java. Drought is an annual disaster in this region, which usually occurs during the dry season. The impact of the drought has caused some areas to experience a lack of clean water. For the purpose of disaster mitigation in anticipating and minimizing drought disasters losses, it is necessary to analyze the level of drought with a decision-making system by comparing two methods, namely the AHP with TOPSIS. Both methods are decision-making methods that are composed of various criteria to obtain an alternative sequence of choices. Both the AHP and TOPSIS methods produces weight values and a positive ideal solution value, respectively. These are used as input data in the mapping of drought vulnerability analysis with Geographical Information Systems (GIS). The results of the analysis are visualized with a map that shows the level of drought vulnerability. AHP and TOPSIS method decision making generates the order of the drought classes in predicting the distribution of areas experiencing drought. To validate the model, the authors compare the results of the analysis of drought vulnerability of the two methods with drought data from BPBD (Local Agency for Disaster Prevention) and DPUPR (Public Works and Public Housing Department). The results show that AHP provides better results than TOPSIS based on results validation with BPBD and DPUPR data. By comparing the two models with BPBD data, the results show that the percentage of AHP suitability is higher than TOPSIS at 47,619% and 19,048% respectively.

scholarly journals Contextual Factors Surrounding Extradyadic High-Risk Sexual Decision-Making in Men: A Case-Oriented Perspective

2015 ◽  
Author(s):  
Katherine Hertlein ◽  
Claudia Villasante
Keyword(s):  
Decision Making ◽  
Sexual Behavior ◽  
High Risk ◽  
Sensation Seeking ◽  
Qualitative Interviews ◽  
Self Esteem ◽  
Decision Making Process ◽  
High Risk Sexual Behavior ◽  
Sexual Decision Making ◽  
Risk Sexual Behavior

Many models have been developed to explain the decision-making process of high-risk sexual behavior (HRSB). Juhasz and Sonnenshein-Schneider (1980) proposed a model for sexual decision-making with three distinct factors (socialization influences, factors germane to the situation, and cognitive factors). While this model makes sense from a theoretical standpoint, it has not been empirically validated and they have focused exclusively on adolescent sexual decision-making processes. The purpose of this study was to identify the key points in decision-making toward engagement in extradyadic high-risk sexual behavior. Using qualitative interviews in a case-oriented study, key components surrounding the context, decision-making, and management processes of engagement in high-risk sexual behavior were analyzed. We found that chemical impairment, sensation-seeking and impulsivity, quality of the relationship, and self-esteem were all key contributors to the context of engaging in HRSB. On the other hand, the decision-making process of HRSB contained compartmentalization, rationalization, and experiencing a point of no return. Finally, the management process of engaging in HRSB included dissociation, self-esteem, and control.

scholarly journals Public Participation as a Tool for Solving Socio-Spatial Conflicts of Smart Cities and Smart Villages in the Sustainable Transport System

2021 ◽  
Vol 13 (23) ◽  
pp. 4821
Author(s):  
Marek Ogryzek ◽  
Wioleta Krupowicz ◽  
Natalia Sajnóg
Keyword(s):  
Decision Making ◽  
Public Participation ◽  
Transport System ◽  
Smart Cities ◽  
Geographical Information ◽  
Decision Making Process ◽  
Sustainable Transport ◽  
Infrastructure Projects ◽  
Infrastructure Planning ◽  
Road Infrastructure

The article presents modern international approaches to public participation in Sustainable Transport System planning. It discusses the causes of social conflicts during the implementation of transport infrastructure projects using the example of implementation of several Polish strategic road infrastructure projects. It provides the assessment of the form, scope, and scale of stakeholders’ involvement in the decision-making process. Among mitigation measures, the authors propose a model solution based on a comprehensive approach to public participation in road infrastructure planning in smart cities and smart villages within a Sustainable Transport System. The proposed idea involves a model of multi-criteria spatial analysis using the analytic hierarchy process (AHP) developed in the geographical information systems (GIS) environment, which—apart from technical-functional, environmental, cultural, economic, financial, and social criteria—also encompasses preferences expressed by local community representatives. The model includes eight stages of public participation in the decision-making process, involving all the rungs of a ladder of citizen participation. The presented solution departs from typical social participation methods used in road infrastructure planning processes.

scholarly journals Government-led Resettlement after Natural Disasters as a Durable Solution? The Case of Cyclone Idai

2020 ◽  
Author(s):  
Carolien Jacobs ◽  
Bernardo Almeida
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
High Risk ◽  
Citizen Participation ◽  
Disaster Response ◽  
Decision Making Process ◽  
Short Term ◽  
Risk Areas ◽  
The Government ◽  
Term Response

Abstract Thousands of people had to flee their homes when Cyclone Idai hit Mozambique in 2019. In its aftermath, the government resettled more than 80,000 people from high-risk areas to safer ground. This article analyses resettlement as a durable solution to disaster response. The question of durable resettlement due to climate-related displacement is especially pertinent in the light of ongoing climate change. Based on empirical research, we show that, although the government succeeded in providing a short-term response to the disaster, there are two major impediments to using resettlement as a durable solution: the lack of citizen participation in the decision-making process leading to resettlement; and the gap between the short-term humanitarian perspective and a longer-term development viewpoint. Resettlement can hardly be seen as a durable solution to climate-related displacement as long as key principles are not respected.

scholarly journals Geographic Analytics and Visualization for Decision Making: An Application for Online Food Delivery Platform

2019 ◽  
Vol 8 (2) ◽  
pp. 6453-6458
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Exploratory Study ◽  
Geographical Information Systems ◽  
Food Delivery ◽  
Geospatial Data ◽  
Geographical Information ◽  
Decision Making Process ◽  
Visual Evaluation ◽  
Delivery Platform

Promoting organizers such as marketing planners frequently utilize geographical information systems to single out appropriate retail stores, setting up advertising campaigns based on regions, and target direct showcasing exercises. Geographical information systems topical maps encourage the visual evaluation of regions. A wide arrangement of elective symbolization, for example, circles, bars, or shading, can be utilized to represent quantitative geospatial data on such maps. In any case, there is little learning on which sort of symbolization is most viable for each case. In a huge scale exploratory study, the creators demonstrate that the symbolization firmly impacts choice execution. GIS-based representations encourage the evaluation of store areas and help organizers to choose the most encouraging options. The choice of the best option requires a visual streamlining which is supported by GIS topical maps. In this study, the manner in which how various GIS-based information portrayals impact advertising analyst’s decision making for online food delivery platforms is explored. The outcomes demonstrate that GIS maps are an important piece of work and that sort of guided representation impacts the initiated decision-making process. Keywords – Geographical Visualization; Food delivery platform; Online food ordering

Decisional Conflict

Conflict ◽  
2019 ◽  
pp. 1-14
Author(s):  
Neil D. Shortland ◽  
Laurence J. Alison ◽  
Joseph M. Moran
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Armed Forces ◽  
Psychological Theory ◽  
Decisional Conflict ◽  
Decision Making Process ◽  
Military Decision Making

Members of the Armed Forces, at all levels, are required to make decisions in which every outcome appears to be averse and high risk. Neither the current military decision-making process nor contemporary psychological theory (e.g., recognition-primed decision-making) satisfactorily explains the process of making decisions such as these. This chapter discusses the prevalence of least-worst decisions, showing that they can occur at all levels, from the President’s decision to use a military option (e.g., in Syria) to the soldier on the ground who must decide whether to shoot or not (and the implications of the former on the latter and vice versa). The chapter also shows that effectively navigating combat, at all levels of command, is not a case of being able to select the best choice but, rather, often being able to grapple with choosing the least-worst.

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