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

Hanafi‐Bojd, Ahmad Ali; Vatandoost, Hassan; Oshaghi, Mohammad Ali; Charrahy, Zabihollah; Haghdoost, Ali Akbar; Zamani, Ghasem; Abedi, Farshid; Sedaghat, Mohammad Mehdi; Soltani, M. R.; Shahi, Mehran; Ahmad, Rasheed

doi:10.1016/j.actatropica.2012.01.003

Cited by 66 publications

(46 citation statements)

References 23 publications

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“…As a result of sensitivity of malaria transmission to climate and topography, malaria was defined as a highly climate sensitive disease [10] and an environmental related disease [20]. Such sensitivity, also, implies that the great potentials for mapping malaria risk through various climatic and topographic variables that determine malaria transmission.…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi

Hassaan¹,

Abdrabo²,

Masabarakiza³

2017

GEP

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Malaria is one of the largest problems threatening global public health that is expected to increase in the future under climate change due to associated warming and wetter conditions. This will exacerbate disease burden in Burundi as one of sub-Saharan African countries, where 2 million cases of malaria were reported in 2015. This highlights the need for developing a methodology for mapping malaria risk under climate change and delineating those regions that may potentially experience malaria epidemics in the future. Malaria transmission and distribution are generally determined by a wide range of climatic, topographic and socioeconomic factors. The paper in hand is intended to map malaria risk in Burundi under climate change up to 2050. For this purpose, a GIS-based model was developed for mapping malaria as a function of various climatic and topographic determinants of malaria. The developed GIS-model was used in mapping malaria risk under current climatic conditions.

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Section: Introductionmentioning

confidence: 99%

GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi

Hassaan¹,

Abdrabo²,

Masabarakiza³

2017

GEP

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“…En un estudio de situación, para obtener información actualizada o para monitorear los cambios ocurridos en el tiempo, este instrumento es útil para el proceso de toma de decisiones. Estudios anteriores han utilizado los SIG para mapear y evaluar la malaria en distintos niveles geográficos (Fuller et al, 2014, Ngom y Siegmund 2014Nath et al, 2013, Hanafi-Bojd et al, 2012, Zayeri, Salehi y Pirhsseini, 2011, Lek-Uthai et al, 2010, Alegana et al, 2009.…”

Section: Discusión De Resultadosunclassified

“…Para el propósito de este estudio, se consideró proponer otro sistema de clasificación que incluyera además de las variables contempladas en sistemas previos (elevación, meses secos, precipitación) otras sobre la naturaleza, características y uso del suelo (geología, características del terreno, tipo de suelo, uso actual del suelo) y brillo solar. La racionalidad de esta decisión es que la malaria es una enfermedad afectada por diversos factores ambientales (Hanafi-Bojd et al, 2012), esto debido a que el vector de la enfermedad se reproduce en aguas estancadas a consecuencia de las propiedades del terreno. En el estudio conducido por Lek-Uthai y colaboradores (2010), la mayoría de los casos estuvieron localizados cerca de cuerpos de agua, lo que sugiere que el ambiente y los factores entomológi-cos juegan un papel importante en la incidencia de la malaria.…”

Section: Silvia Argüello Vargas Elba De La Cruz Malavassi Marco V unclassified

Análisis Espacio-Temporal De La Malaria en Matina, Limón, Costa Rica

Vargas

Malavassi

Acosta

2016

REVGEO

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RESUMENEl objetivo de este estudio fue establecer el patrón espacio-temporal de la malaria en Matina y relacionarlo con factores ambientales. Se utilizaron tecnologías espaciales para capturar, almacenar, analizar y visualizar información relacionada con localidades y viviendas. Los atributos no espaciales fueron analizados usando pruebas paramétricas y no paramétricas. Los datos fueron obtenidos de las bases de datos de casos clínicos del Área Rectora del Ministerio de Salud en Matina. Se presentan los descriptores puntuales de las localidades positivas para los años 2005 y 2006 y en los grupos de viviendas positivo y negativo en la localidad piloto. Se propone una clasificación de áreas macroambientales en el cantón y se relaciona con la distribución de la

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“…Geographic information system (GIS) is a powerful computer software, which enables investigators to prepare a reliable database exhibiting a geographical pattern of various diseases and health care services (13). Many studies have been conducted on public health management, cancer assessment and distribution of diseases using GIS in Iran (14-17). In addition to these abilities, GIS may also act as a key utility to determine the location of lesions in the human body.…”

Section: Introductionmentioning

confidence: 99%

Spatial Modeling of Colonic Lesions With Geographic Information Systems

Imanieh

Goli

Geramizadeh

2014

Iran Red Crescent Med J

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Background:Geographic information system (GIS) software has been used in health care systems to display and analyze spatial pattern of diseases and health services.Objectives:This study was performed to assess spatial patterns of colon’s pathologic lesions based on the pathologic reports and assess whether it is possible to use GIS software in health services.Patients and Methods:Archives of pathology of Namazi and Faghihi hospitals, two main referral centers of south-west of Iran, were obtained and reviewed between January 2009 and September 2011 for biopsy reports of patients who underwent colonoscopy. Abnormal biopsies were categorized into five different subgroups according to the type of pathologic specimens. By GIS, spatial patterns of colon biopsies were plotted in different maps and spatial auto-correlation of colon biopsies was calculated using the Moran’s Index.Results:A total of 4815 biopsies from 2663 different patients were reviewed, 53.8% of which were men. Abnormal biopsies were 2781 of all specimens (57.8%). Neoplastic lesions, inflammatory bowel diseases and polyps were 9.3%, 19.3% and 29.2% of total biopsies, respectively. Pathologic biopsies were more common in the distal colon. Maps of all biopsies and maps of specific pathologies were manifested in GIS.Conclusions:Our study showed that left-sided lesions are still more common in the Iranian population. On the other hand, surveying the right side of colon is as important as the distal part, which necessitates total colonoscopy.

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

Cited by 66 publications

References 23 publications

GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi

GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi

Análisis Espacio-Temporal De La Malaria en Matina, Limón, Costa Rica

Spatial Modeling of Colonic Lesions With Geographic Information Systems

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