Impact of Land-use Change on Dengue Hemorrhagic Fever in Kolaka District, Southeast Sulawesi Province, Indonesia (original) (raw)
Related papers
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/eco-epidemiology-analysis-of-dengue-hemorrhagic-fever-endemicity-status-in-sulawesi-selatan-province-indonesia https://www.ijert.org/research/eco-epidemiology-analysis-of-dengue-hemorrhagic-fever-endemicity-status-in-sulawesi-selatan-province-indonesia-IJERTV2IS90548.pdf Dengue Hemorrhagic Fever (DHF) is a major health problem in many countries, particularly in tropical regions. Dengue is found in almost all provinces of Indonesia, including the province of South Sulawesi. Ecological approach to the dengue epidemiology in different areas needs to be done. Eco-epidemiology is the study of ecological effects on human health. This study aims to determine the relationship of ecological factors in the epidemiology of status of endemicity of dengue in South Sulawesi province in 2011. This observational study commenced with cross sectional design and use of Geographic Information Systems in visualizing and exploring data spasial. Sampel as many as 24 districts / cities in South Sulawesi province are categorized based on the endemicity status against dengue. Analysis of the data that used was theMann-Whitney test, Chi-square and logistic regression.The results shows that ecological factors that affect the status of dengue endemicity of an area is rainfall (p=0.030), population density (p=0.044) and the larva-free rate (LFR) (p=0.011). altitude of region was ecological factor that are not associated with DHF endemicity status (p=0.272). The most dominant ecological factors determining the status of dengue endemicity of an area is a larvae free-rate (LFR) (B=5.273). This study suggested that the monitoring, prevention, and control of dengue disease can be more quickly and efficiently with the determination of status based on the endemicity and spread of dengue mosquito breeding.
Remote Sensing
To date, there is no effective treatment to cure dengue fever, a mosquito-borne disease which has a major impact on human populations in tropical and sub-tropical regions. Although the characteristics of dengue infection are well known, factors associated with landscape are highly scale dependent in time and space, and therefore difficult to monitor. We propose here a mapping review based on 78 articles that study the relationships between landscape factors and urban dengue cases considering household, neighborhood and administrative levels. Landscape factors were retrieved from survey questionnaires, Geographic Information Systems (GIS), and remote sensing (RS) techniques. We structured these into groups composed of land cover, land use, and housing type and characteristics, as well as subgroups referring to construction material, urban typology, and infrastructure level. We mapped the co-occurrence networks associated with these factors, and analyzed their relevance according to a...
Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia
2021
The aim of this study was to assess the role of climate variability on the incidence of dengue fever (DF), an endemic arboviral infection existing in Jakarta, Indonesia. The work carried out included analysis of the spatial distribution of confirmed DF cases from January 2007 to December 2018 characterising the sociodemographical and ecological factors in DF high-risk areas. Spearman's rank correlation was used to examine the relationship between DF incidence and climatic factors. Spatial clustering and hotspots of DF were examined using global Moran's I statistic and the local indicator for spatial association analysis. Classification and regression tree (CART) analysis was performed to compare and identify demographical and socio-ecological characteristics of the identified hotspots and low-risk clusters. The seasonality of DF incidence was correlated with precipitation (r=0.254, P<0.01), humidity (r=0.340, P<0.01), dipole mode index (r= -0.459, P<0.01) and Tmin (...
Tropical biomedicine, 2006
The objective of this study was to elucidate the association of various risk factors with dengue cases reported in Lundu district, Sarawak, by analyzing the interaction between environmental, entomological, socio-demographic factors. Besides conventional entomological, serological and house surveys, this study also used GIS technology to generate geographic and environmental data on Aedes albopictus and dengue transmission. Seven villages were chosen based on the high number of dengue cases reported. A total of 551 households were surveyed. An overall description of the socio-demographic background and basic facilities was presented together with entomological and geographical profiles. For serological and ovitrap studies, systematic random sampling was used. Serological tests indicated that 23.7% of the 215 samples had a history of dengue, either recent or previous infections. Two samples (0.9%) were confirmed by IgM ELISA and 49 samples (22.8%) had IgG responses. A total of 32,838...