scholarly journals Epidemiological Characteristics and Space-Time Analysis of the 2015 Dengue Outbreak in the Metropolitan Region of Tainan City, Taiwan

2018 ◽  
Vol 15 (3) ◽  
pp. 396 ◽  
Author(s):  
Ting-Wu Chuang ◽  
Ka-Chon Ng ◽  
Thi Nguyen ◽  
Luis Chaves
Keyword(s):  
Space Time ◽  
Metropolitan Region ◽  
Time Analysis ◽  
Dengue Outbreak ◽  
Tainan City ◽  
Epidemiological Characteristics

scholarly journals Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Veerasak Punyapornwithaya ◽  
Chalutwan Sansamur ◽  
Arisara Charoenpanyanet
Keyword(s):  
Geographic Location ◽  
Viral Disease ◽  
Space Time ◽  
Geographical Information ◽  
Chiang Mai ◽  
Dengue Outbreak ◽  
Number Of Patients ◽  
Spatio Temporal ◽  
Epidemiological Characteristics ◽  
Primary Cluster

Dengue is the worldwide most important mosquito-borne viral disease in humans. A large dengue outbreak occurred in Chiang Mai, Thailand in 2013. The aims of this study were to describe the epidemiology of this outbreak and determine the spatio-temporal pattern in the sub-district with the highest number of dengue cases. Data on patients, including date of illness, were obtained from the Chiang Mai Provincial Public Health Center and analyzed descriptively using R statistical software. The geographic location of patients’ residences was determined from available geographical information databases supplemented with coordinated data collection in the field. A space-time permutation model from SaTScan™ was used to determine disease clusters corresponding to space and time. Results showed that Muang District, the centre of the province, had a higher number of cases than the other 25 districts. The Suthep subdistrict, part of Muang District, had most of the patients: 625 subjects distributed between 213 residences. The space-time analysis identified a primary cluster and 7 secondary clusters in different time periods. The primary cluster had 128 patients in a period of approximately 3 months. The number of patients in the secondary clusters ranged between 7 and 65. Most of the clusters occurred in densely populated areas during June and July (the rainy season). The finding from this study may support health agencies to plan surveillance campaigns for people at specified local areas with a high incidence of the disease.

scholarly journals ANÁLISIS ESPACIO-TEMPORAL DE LA MALARIA EN MATINA, LIMÓN, COSTA RICA

2016 ◽  
Vol 1 (54) ◽  
pp. 67
Author(s):  
Silvia Argüello Vargas ◽  
Elba de la Cruz Malavassi ◽  
Marco V Herrero Acosta
Keyword(s):  
Costa Rica ◽  
Temporal Trend ◽  
Space Time ◽  
Time Analysis ◽  
Time Pattern ◽  
Future Studies ◽  
Household Level ◽  
Factores De Riesgo ◽  
Spatial Attributes ◽  
Los Grupos

<p>El 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 Incidencia Parasitaria Anual (IPA). Se identificaron factores de riesgo a nivel de vivienda en la localidad piloto. Se describe la ocurrencia temporal de la actividad malárica en el cantón. El patrón espacio-temporal que se presenta en este informe puede servir de línea base para estudiar cambios que podrían ocurrir en el futuro.</p><p> </p><p>SPACE-TIME ANALYSIS OF MALARIA IN MATINA, LIMÓN, COSTA RICA</p><p><strong>ABSTRACT</strong><br /> The purpose of this study was to describe the space-time pattern of the disease, and relate it to environmental factors. Spatial technologies were used to collect, store, analyze and display information regarding locations and household locations. Non-spatial attributes were analyzed using parametric and non parametric tests. The information was obtained from databases of clinical cases form the Governing Area of the Health Ministry in Matina. Centrographic parameters were calculated for localities within Matina and for households within the pilot location. Parasitic Incidence (IPA) was associated with a proposed environmental classifiation for Matina. At the household level, risk factors were determined. The temporal pattern of the disease in Matina is described. A similar temporal trend is shown for households within the pilot location. This is the fist time that the information collected in the Matina Governing Area is used to describe the spatial patterns of malaria.<br /> This pattern will be useful as a comparative baseline for future studies.</p><p> </p><p><span><br /></span></p>

scholarly journals The First Lumpy Skin Disease Outbreak in Thailand (2021): Epidemiological Features and Spatio-Temporal Analysis

2022 ◽  
Vol 8 ◽  
Author(s):  
Orapun Arjkumpa ◽  
Minta Suwannaboon ◽  
Manoch Boonrod ◽  
Issara Punyawan ◽  
Supawadee Liangchaisiri ◽  
...  
Keyword(s):  
Skin Disease ◽  
Temporal Analysis ◽  
Space Time ◽  
Effective Control ◽  
Outbreak Response ◽  
Lumpy Skin Disease ◽  
Epidemiological Features ◽  
Spatio Temporal ◽  
Epidemiological Characteristics ◽  
Cattle Farms

The first outbreak of lumpy skin disease (LSD) in Thailand was reported in March 2021, but information on the epidemiological characteristics of the outbreak is very limited. The objectives of this study were to describe the epidemiological features of LSD outbreaks and to identify the outbreak spatio-temporal clusters. The LSD-affected farms located in Roi Et province were investigated by veterinary authorities under the outbreak response program. A designed questionnaire was used to obtain the data. Space-time permutation (STP) and Poisson space-time (Poisson ST) models were used to detect areas of high LSD incidence. The authorities identified 293 LSD outbreak farms located in four different districts during the period of March and the first week of April 2021. The overall morbidity and mortality of the affected cattle were 40.5 and 1.2%, respectively. The STP defined seven statistically significant clusters whereas only one cluster was identified by the Poisson ST model. Most of the clusters (n = 6) from the STP had a radius &lt;7 km, and the number of LSD cases in those clusters varied in range of 3–51. On the other hand, the most likely cluster from the Poisson ST included LSD cases (n = 361) from 198 cattle farms with a radius of 17.07 km. This is the first report to provide an epidemiological overview and determine spatio-temporal clusters of the first LSD outbreak in cattle farms in Thailand. The findings from this study may serve as a baseline information for future epidemiological studies and support authorities to establish effective control programs for LSD in Thailand.

scholarly journals PROPOSTA DE PLANEJAMENTO DE USO E OCUPAÇÃO DO SOLO A PARTIR DE ANÁLISE ESPAÇO-TEMPORAL COM IMAGENS ORBITAIS DO MUNICÍPIO DE CHIMOIO, MOÇAMBIQUE / PROPOSAL FOR LAND USE AND OCCUPATION PLANNING FROM SPACE-TIME ANALYSIS WITH ORBITAL IMAGES OF THE MUNICIPALITY OF CHIMOIO, MOZAMBIQUE

2020 ◽  
Vol 6 (11) ◽  
pp. 84952-84965
Author(s):  
Gudo Bai Armando Maidjelele ◽  
Júlio Acácio António Pacheco ◽  
José Augusto Leitão Drummond ◽  
Edson Vicente da Silva ◽  
Dilma Ázira Ismael Carlos ◽  
...  
Keyword(s):  
Land Use ◽  
Space Time ◽  
Time Analysis
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