| 1. |
- Bhardwaj, Anshuman, et al.
(författare)
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Developing a statistical dengue risk prediction model for the state of delhi based on various environmental variables
- 2012
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Ingår i: International Journal of Geoinformatics. - 1686-6576. ; 8:3, s. 45-52
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Tidskriftsartikel (refereegranskat)abstract
- This work investigates dengue affected localities of Delhi using static and dynamic environmental factors and their possible spatial relationships. The static variables include soil drainage, built-up area and vegetation. The dynamic variables represent seasonal precipitation and temperature data for past hundred years. Significance test (t-test) provided deterministic evidence of variable importance to model. Weighted sum and quantile classification helped to create a final risk map. The model indicated non-uniform distribution of risk across the state and showed elevated risk in urban built-up areas mainly alongside the river Yamuna. Three years (2007, 2008 and 2009) data for confirmed dengue cases for affected localities were obtained from Municipal Corporation of Delhi (MCD) for validation. 57.98% of the reported cases were observed under high risk category as modeled in this study. Modeling results indicate that environmental factors like Precipitation, temperature, soil drainage, built-up area and vegetation govern mosquito breeding and are correlated with human dengue risk The approach verified that dengue risk can be modeled at the state level and can be modified for risk predictions of other vector-borne diseases in varied ecological regions
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| 2. |
- Phyo Myint, E.E., et al.
(författare)
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Surveillance Model of Parasitic Zoonosis in Cyprinoid Fishes in Northern Zone and Northeastern Zone of Thailand and Myanmar Using GIS
- 2022
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Ingår i: International Journal of Geoinformatics. - : Geoinformatics International. - 1686-6576 .- 2673-0014. ; 18:2, s. 129-139
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Tidskriftsartikel (refereegranskat)abstract
- The parasitic zoonosis, opisthorchis viverrini has been an important public health problem in many parts of the globe. In Thailand, fish-borne parasitic zoonosis is highly spread in the northern and northeastern regions, where a large impact of cholangiocarcinoma occurs, a crucial source of the liver cancer. The rare occasions reports date published about the Opisthorchiasis in the middle zone of Myanmar. In our study, a total of a few species of fish borne trematode metacercariae i.e.; three kind of small intestinal flukes, the family of Heterophyidae; Haplorchoides sp., Haplorchis pumilio, Haplorchis taichi and one species of carcinogenic liver fluke, the family of Opisthorchiidae; Opisthorchis viverrini have been detected from seven study areas from Thailand and Myanmar. The geographic information relevant with the rate of infection with vulnerable species of freshwater fishes was also posted from Thailand and Myanmar, and built a parasitic diseases combine with georeference for Geographical Information System (GIS) implementation. Furthermore, secondary descriptive analysis of the prevalence of fishborne trematodes metacercariae from countries of golden triangles (Southeast Asia) ie; Thailand, Myanmar, and Laos PDR have been created a GIS database for infection status of parasite infections. The outcome from this study may be helpful in strategies for protocol of the prevention of parasitic zoonosis in freshwater fishes reportin Thailand and Myanmar.
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| 3. |
- Snehmani, Snehmani, et al.
(författare)
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Study of temporal changes in snout position and wet snow line for Gangotri glacier using remote sensing, ground observations and meteorological data
- 2013
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Ingår i: International Journal of Geoinformatics. - 1686-6576. ; 9:1, s. 49-60
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Tidskriftsartikel (refereegranskat)abstract
- The temporal changes (1891-2010) in snout position of Gangotri glacier were monitored using Landsat images, ground observations and SoI (Survey of India) toposheets. Temporal changes (2001-09) in wet snow line (wsl) altitude were also observed using LISS-III images and high resolution (6 m pixel size) DEM generated using Cartosat stereopair. These observations were correlated and justified with available snow meteorological data. OCGM (Oerlemans Coarse Grained Model) was run in parallel using meteorological inputs to support the obtained glacier retreat using Landsat data during 2001-10. The retreats observed were 73 m and 54 m respectively using Landsat data and OCGM. The difference was less than 20 m (less than a pixel of Landsat image) thus supporting the usefulness of remote sensing observations for monitoring of rough and hard to access terrain. The wsl altitude showed an overall ascending trend during melting season (May to September). Some atypical fluctuations in this trend were observed for different years which could be explained using available meteorological records
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