Identification of dengue risk zone: a geo-medical study on Madurai city

Saravanabavan, V.; Balaji, D.; Preethi, S

doi:10.1007/s10708-018-9909-9

Cited by 18 publications

(11 citation statements)

References 15 publications

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“…Apart from this, Location Quotient (LQ) is a useful tool for comparing area characteristics (Moineddin et al, 2003 ;Ghosh et al, 2021 ; Pandey et al, 2021 ) and its use in healthcare has been well established (Hendayana, 2003 ; Saravanabavan et al, 2019 ; Sukmawati, 2021 ). Most of the studies in medical geography are concerned with the description of spatial and temporal variations of a particular disease and are attempted at the regional level (Bossak & Turk, 2021 ; Balaj & Saravanabavan 2019 , 2020 ; Vinothini et al, 2021 ; Bonner et al, 2019 ).…”

Section: Database and Methodologymentioning

confidence: 99%

Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave

Saravanabavan

Emayavaramban

et al. 2022

GeoJournal

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COVID-19 is a pandemic disease caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). The study area, Tamilnadu, is a southern state in India. The present study demonstrates the significance of mapping in identifying the risk zones of COVID-19 disease by taking a study of COVID-19 cases in Tamilnadu state. The main objective of the study was to identify the risk zone of COVID-19 disease in the first wave of Tamilnadu through geospatial mapping. Data on COVID-19 cases collected during March 2020 to March 2021 month wise in all 37 districts (unit area) of Tamilnadu in two-month interval wise was analysed. The study is based on secondary sources from respective office in Tamilnadu. Z-score techniques were used for standardizing data. Correlation analysis provided a measure of correlation between COVID-19 and working population. Location Quotient analysis aided the identification of COVID-19 risk zones in Tamilnadu. Present study indicates tertiary workers are more vulnerable to COVID-19 disease.

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Section: Database and Methodologymentioning

confidence: 99%

Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave

Saravanabavan

Emayavaramban

et al. 2022

GeoJournal

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“…Many researchers (Ali & Ahmad, 2018 ; Dom et al, 2016 ; Hassan et al, 2012 ; Khormi & Kumar, 2012 ; Latif & Mohamad, 2015 ; Ong et al, 2018 ; Panhwer et al, 2017 ; Pathirana et al, 2009 ; Saravanabavan et al, 2019 ; Shafie, 2011 ; Tariq & Zaidi, 2019 ; Tsheten et al, 2021 ; Withanage et al, 2021 ) identified the dengue risk zones using GIS techniques. Ali and Ahmad, ( 2018 ) demarcated the dengue risk zones in the Kolkata Municipal Corporation using the GIS and AHP method.…”

Section: Literature Reviewmentioning

confidence: 99%

Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods

et al. 2022

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Dengue fever, which is spread by Aedes mosquitoes, has claimed many lives in Kerala, with the Thiruvananthapuram district bearing the brunt of the toll. This study aims to demarcate the dengue risk zones in Thiruvananthapuram district using the analytical hierarchy process (AHP) and the fuzzy-AHP (F-AHP) methods. For the risk modelling, geo-environmental factors (normalized difference vegetation index, land surface temperature, topographic wetness index, land use/land cover types, elevation, normalized difference built-up index) and demographic factors (household density, population density) have been utilized. The ArcGIS 10.8 and ERDAS Imagine 8.4 software tools have been used to derive the risk zone maps. The area of the risk maps is classified into five zones. The dengue risk zone maps were validated using dengue case data collected from the Integrated Disease Surveillance Programme portal. From the receiver operating characteristic (ROC) curve analysis and the area under the ROC curve (AUC) values, it is proved that the F-AHP method (AUC value of 0.971) has comparatively more prediction capability than the AHP method (AUC value of 0.954) in demarcating the dengue risk zones. Also, based on the comparison of the risk zone map with actual case data, it was confirmed that around 82.87% of the dengue cases occurred in the very high and high-risk zones, thus proving the efficacy of the model. According to the dengue risk map prepared using the F-AHP model, 9.09% of the area of Thiruvananthapuram district is categorized as very high risk. The prepared dengue risk maps will be helpful for decision-makers, staff with the health, and disaster management departments in adopting effective measures to prevent the risks of dengue spread and thereby minimize loss of life.

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“…Analysis the spatial distribution of health care centres and patterns behaviour pattern among different age and sex groups [7][8][9] . The study describes about patients perception and utilization pattern of PHCs in Madurai [10][11][12] . The perspective of medical geography or Health geography, the implementation of geographical concepts and techniques to study health and diseases [13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

“…Health geography is a comparative study of the incidence of diseases and the distribution of physiological traits in people belonging to different communities throughout the world and the correlation of these traits with different aspects of the environment [16][17] . Diseases are not uniformly distributed over the surface of the earth [18,19] . There are different patterns of distribution of various diseases [20,21] .…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of primary health care centre and socio economic conditions of patients in Madurai district

Saravanabavan,

Vinothini,

Rose

2023

Int. J. Geogr. Geol. Environ.

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Health services are essentially social services. It is one of the many services system that has emerged to facilitate of individual as well as social goals. Health is one of the major dimensions in socio economic development. The main objectives of the study are; To analyse the spatial distribution of primary health care centre in Madurai district. To analyse the socio-economic conditions of patients in Madurai district. To analyze the patient perception and satisfaction level who avail these PHC services. The study area Madurai district lies between 9° 30′ north to 10° 30′ North latitudes and 77° 30′ east to 78° 30′ East longitudes. The data for the present study was collected from primary and secondary source. The random sampling technique is adopted to collect the primary data in all 13 blocks of Madurai district. Altogether about 260 sample respondents have been interviewed from the study area for the Questionnaire method. The data has been analysed by means of Descriptive statistical techniques. To identify health service area in Madurai District, spatial analysis techniques were applied. A detailed fieldwork was carried out at all levels to study the socio-economic characteristics of the respondent and their utilization pattern.

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Identification of dengue risk zone: a geo-medical study on Madurai city

Cited by 18 publications

References 15 publications

Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave

Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave

Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods

Spatial distribution of primary health care centre and socio economic conditions of patients in Madurai district

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