Spatial analysis and mapping of malaria risk in an endemic area, south of Iran: A GIS based decision making for planning of control

Agricultural fields have natural within-field soil variations that can be extensive, are usually contiguous, and are not always traceable. As a result, in many cases, site-specific attention is required to adjust inputs and optimize crop performance. Researchers, such as agronomists, agricultural engineers, or economists and other scientists, have shown increased interest in performing yield monitor data analysis to improve farmers’ decision-making concerning the better management of the agronomic inputs in the fields, while following a much more sustainable approach. In this case, spatial analysis of crop yield data with the form of spatial autocorrelation analysis can be used as a practical sustainable approach to locate statistically significant low-production areas. The resulted insights can be used as prescription maps on the tractors to reduce overall inputs and farming costs. This aim of this work is to present the benefits of conducting spatial analysis of yield crop data as a sustainable approach. Current work proves that the implementation of this process is costless, easy to perform and provides a better understanding of the current agronomic needs for better decision-making within a short time, adopting a sustainable approach.

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Intelligence from Space

Information and Communications Technology for Competitive Intelligence ◽

10.4018/978-1-59140-142-1.ch009 ◽

2011 ◽

pp. 194-226

Author(s):

Paul Hendriks

Keyword(s):

Decision Making ◽

Information Systems ◽

Spatial Analysis ◽

Geographical Information Systems ◽

Geographical Information ◽

Specific Class ◽

Step Procedure ◽

Decision Making Processes ◽

Projected Position ◽

Spatial Element

The spatial element, which is omnipresent in data and information relevant to organizations, is much underused in the decision-making processes within organizations. This applies also to decision-making within the domain of Competitive Intelligence. The chapter explores how the CI function may benefit from developing a spatial perspective on its domain and how building, exploring and using this perspective may be supported by a specific class of information systems designed to handle the spatial element in data: Geographical Information Systems (GIS). The chapter argues that the key element for linking GIS to CI involves the identification of situations in which spatial analysis may support organizational decision-making within the CI domain. It presents a three-step procedure for identifying how CI may recognize spatial decision problems that are useful to boost the operation of the CI function. The first step concerns identifying relevant spatial variables, for instance by analyzing economic, demographic or political trends as to their spatial implications. The second step involves using GIS for positioning the organization with respect to the identified variables (present and projected position). The third step amounts to drawing strategic conclusions from Step 2 by assessing how the competition in relationship with the own organization would be positioned along the identified spatial analysis lines.

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Malaria Vulnerability Map Mobile System Development Using GIS-Based Decision-Making Technique

Mobile Information Systems ◽

10.1155/2018/8436210 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9

Author(s):

Jung-Yoon Kim ◽

Sung-Jong Eun ◽

Dong Kyun Park

Keyword(s):

Decision Making ◽

System Development ◽

Risk Index ◽

Malaria Risk ◽

Web Based ◽

Risk Calculation ◽

Database Construction ◽

Visual Expression ◽

Control And Prevention ◽

Vulnerability Map

This paper aimed at improving the lack of GIS information use and compatibility of multiplatform which represented limits that existing malaria risk analysis tools had. For this, the author developed mobile web-based malaria vulnerability map system using GIS information. This system consists of system database construction, malaria risk calculation function, visual expression function, and website and mobile application. This system was developed based on Incheon region only. Database includes information on air temperature and amount of precipitation as well. With regard to malaria risk calculation, guideline provided by Korea Centers for Disease Control and Prevention was followed first and then decision-making technique was used. Calculating criteria value for risk index made it possible to estimate more precise risk. With regard to visual expression function, database constructed earlier and risk information were linked to print out graphic map and graphs so that more intuitive and visible expression can be provided based on animation technique. This system allows a user to check information in real time and can be used anywhere anyplace. Mobile push function is to enhance user’s convenience. Such web map is useful to general users as well as experts.

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Spatial analysis of yield monitor data: case studies of on-farm trials and farm management decision making

Precision Agriculture ◽

10.1007/s11119-008-9072-2 ◽

2008 ◽

Vol 9 (5) ◽

pp. 269-283 ◽

Cited By ~ 26

Author(s):

Terry W. Griffin ◽

Craig L. Dobbins ◽

Tony J. Vyn ◽

Raymond J. G. M. Florax ◽

James M. Lowenberg-DeBoer

Keyword(s):

Decision Making ◽

Spatial Analysis ◽

Case Studies ◽

Farm Management ◽

Management Decision ◽

Yield Monitor ◽

Management Decision Making ◽

On Farm ◽

Monitor Data

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Clinical and epidemiological indicators and spatial analysis of leprosy cases in patients under 15 years old in an endemic area of Northeast Brazil: an ecological and time series study

BMJ Open ◽

10.1136/bmjopen-2018-023420 ◽

2019 ◽

Vol 9 (7) ◽

pp. e023420 ◽

Cited By ~ 2

Author(s):

Márcio Bezerra Santos ◽

Allan Dantas dos Santos ◽

Aline Silva Barreto ◽

Mariana do Rosário Souza ◽

Marco Aurélio de Oliveira Goes ◽

...

Keyword(s):

Time Series ◽

Spatial Analysis ◽

Physical Disability ◽

Endemic Area ◽

Temporal Trends ◽

Secondary Data ◽

Lower Percentage ◽

Northeast Brazil ◽

Time Series Study ◽

Series Study

ObjectiveThis study aimed to analyse the clinical and epidemiological indicators, temporal trends and the spatial distribution of leprosy in patients under 15 years old in an endemic area of Northeast Brazil.DesignRegional surveillance study of all reported cases.SettingState of Sergipe, endemic area of Northeast Brazil.MethodsAn ecological and time series study was conducted, based on secondary data reported by the Brazilian Information System on Notifiable Diseases for leprosy cases diagnosed in Sergipe state (2002–2015). The analysis of temporal trends was performed using the Joinpoint Regression Programme through Poisson regression. We performed spatial analysis by Kernel estimator and Moran index.ResultsThe incidence rate was reduced from 6.29 to 3.78 cases per 100 000 inhabitants in 2002 and 2015, respectively. However, Sergipe was still classified as highly endemicity in 2015. The mean number of household contacts (HHC) examined was significantly lower than those registered. Clinical data indicated that 21.4% of the patients developed leprosy reactions, and 31.3% presented with some physical disability in the multibacillary groups. Patients diagnosed by examination within the HHC presented better indicators, such as lower percentage of leprosy reaction and physical disability. Spatial analysis showed the most risk areas distributed on the northeast and cities around the capital, Aracaju.ConclusionThe data indicate that there is a persistence of activeMyobacterium lepraetransmission and a delay in disease detection, following a pattern of high endemicity in many municipalities. The early detection by HHC examination is important to stop transmission and also to detect the cases in a less severe state.

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Spatial analysis for identification of priority areas for surveillance and control in a visceral leishmaniasis endemic area in Brazil

Acta Tropica ◽

10.1016/j.actatropica.2013.12.002 ◽

2014 ◽

Vol 131 ◽

pp. 56-62 ◽

Cited By ~ 22

Author(s):

David Soeiro Barbosa ◽

Vinícius Silva Belo ◽

Maurício Eduardo Salgado Rangel ◽

Guilherme Loureiro Werneck

Keyword(s):

Spatial Analysis ◽

Visceral Leishmaniasis ◽

Endemic Area ◽

Priority Areas ◽

And Control

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Índices de vulnerabilidade social e programático para idosos que vivem no domicilio

Enfermería Global ◽

10.6018/eglobal.477281 ◽

2022 ◽

Vol 21 (1) ◽

pp. 140-178

Author(s):

Alisson Fernandes Bolina ◽

Rosalina Aparecida Partezani Rodrigues ◽

Darlene Mara dos Santos Tavares ◽

Vanderlei José Haas

Keyword(s):

Older Adults ◽

Decision Making ◽

Spatial Analysis ◽

Social Vulnerability ◽

Population Based ◽

Population Based Study ◽

Census Tracts ◽

Toma De Decisiones ◽

Main Components ◽

Very High

Objectives: Build Social and Programmatic Vulnerability indices for older people living at home and verify the association of vulnerability components (individual, social and programmatic). Methods: It is a population based study, household and transversal survey type, conducted with 701 community older adults. Descriptive and bivariate exploratory spatial analysis was conducted (p≤ 0.05) as well as analysis of Main Components. Results: By means of the indices, it was observed that peripheral census tracts presented very high social vulnerability levels and that the main variables representative of the programmatic component – access to dentist via SUS, medications, and search of the same care location. It was verified that only 3.9% of the older adults did not present some level of vulnerability (individual, social and programmatic). Conclusion: Older adults are exposed to multiple vulnerability conditions, and Social and Programmatic Vulnerability indices are important tools for managers’ decision making. Objetivos: Construir los índices de vulnerabilidad social y vulnerabilidad de programas para personas mayores que viven en el hogar y verificar la asociación entre los componentes de vulnerabilidad (individual, social y programática). Métodos: Este es un estudio basado en la población del tipo de encuesta de hogares y transversal realizada con 701 miembros de la comunidad de ancianos. Se realizaron análisis exploratorios, descriptivos y bivariados (p≤ 0.05) y componentes principales. Resultados: A través de los índices, se descubrió que los sectores censales periféricos mostraban niveles muy altos de vulnerabilidad social y que las principales variables representativas del componente programático eran: acceso al dentista por SUS, medicamentos y demanda desde el mismo lugar de servicio. Se encontró que solo el 3.9% de los ancianos no tenían ninguna condición de vulnerabilidad (individual, social y programática). Conclusión: Los ancianos están expuestos a múltiples condiciones de vulnerabilidad; Los índices de vulnerabilidad social y programática son herramientas importantes para la toma de decisiones por parte de los gerentes. Objetivos: Construir os Índices de Vulnerabilidade Social e de Vulnerabilidade Programática para idosos que vivem no domicílio e verificar a associação entre os componentes da vulnerabilidade (individual, social e programática). Métodos: Trata-se de um estudo de base populacional do tipo inquérito domiciliar e transversal conduzido com 701 idosos comunitários. Realizou-se análise espacial exploratório, descritiva e bivariada (p≤ 0,05) e de Componentes Principais. Resultados: Através dos índices, verificou-se que os setores censitários periféricos apresentaram níveis de vulnerabilidade social muito elevados e que as principais variáveis representativas do componente programático foram - acesso ao dentista pelo SUS, à medicamentos e procura do mesmo local de atendimento. Constatou-se que apenas 3,9% dos idosos não apresentavam nenhuma condição de vulnerabilidade (individual, social e programático). Conclusão: Os idosos estão expostos as múltiplas condições de vulnerabilidade; sendo os Índices de Vulnerabilidade Social e Programática importantes ferramentas de tomada de decisão pelos gestores.

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Adoption the basis of spatial analysis and geographic information systems (GIS) techniques to development oil industry projects

Journal of Petroleum Research and Studies ◽

10.52716/jprs.v5i1.125 ◽

2014 ◽

Vol 5 (1) ◽

pp. 92-109

Author(s):

Fanir Farooq O. Naji

Keyword(s):

Decision Making ◽

Spatial Analysis ◽

Spatial Data ◽

Information Age ◽

Oil Industry ◽

Project Planning ◽

Digital Maps ◽

The People ◽

Calculation Processing ◽

Analyze Data

It is recognized today that human lives the information age, which ischaracterized by the multiplicity of its data and the complexity of its aspects andthe most important thing is characterized by "information" that will determine theprogress of the people, the more able countries to devise ways to protect theinformation and how to make the best use of them whenever it is an indication ofits progress and its ability to face obstacles to development and the informationsources are diverse and interrelated up to the level of complexity that they can beanalyzed and dealt with the existence of developed computer systems, that storedand processed the information .And because maps are also considered sources ofinformation which use in management and project planning, and being animportant means of connecting ideas and planning them so it necessitated the needfor the emergence of advanced systems have the ability to draw and designschemes and production of digital maps. With possibility of linking information(metadata) with the real location on the Earth's surface, called the (spatial data).The emergence of these systems are scientific leap on the in geographic scienceespecially spatial data that has accumulated over the centuries and resulted in ahuge amount of data and information. These systems added a lot in the field ofbuilding spatial database which can updating and help in treating maps accuratelyand effectively combines the advantages of the two systems (information systemsand systems of digital maps), which was named "GIS" systems which electronic NO.10digital competent to enter, store and retrieve, analyze data . And connect themwith large areas of maps that can not be saved on security on the paper. The data issaved with maps in a coherent manner so as to facilitate the user to display the datawith maps and several methods as well as a calculation processing to extract theresults and reports in a few time and effort and use them in decision-making whichhelps to speed the study and analysis the information and support decision-makersin a number of important decisions concerning projects which requires accuracyand speed.

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