Identification of malaria hot spots for focused intervention in tribal state of India: a GIS-based approach

Srivastava, Aruna; Nagpal, B. N.; Pl, Joshi; Paliwal, J. C.; Dash, A. P.

doi:10.1186/1476-072x-8-30

Cited by 68 publications

(44 citation statements)

References 1 publication

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“…12 Geographic information systems (GIS) are a supportive tool to display the spatial variation of disease, 13 to define the distribution, 14,15 seasonality, 16,17 and mortality, 18 and to identify high risk locations of malaria transmission. [19][20][21] Recently, the spatial scan statistic method has been increasingly used to test whether any clusters can be detected or if the point process is purely randomly distributed. 22 This scan statistic approach has been widely applied in identifying clustering regions and periods in vector-borne diseases like West Nile virus, 23 schistosomiasis, 24 dengue fever, 25 Barmah Forest virus, 26 and malaria.…”

Section: Introductionmentioning

confidence: 99%

Spatial Patterns of Malaria Reported Deaths in Yunnan Province, China

Bi¹,

Hu²,

Yang³

et al. 2013

The American Society of Tropical Medicine and Hygiene

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Abstract. Malaria has been a heavy social and health burden in the remote and poor areas in southern China. Analyses of malaria epidemic patterns can uncover important features of malaria transmission. This study identified spatial clusters, seasonal patterns, and geographic variations of malaria deaths at a county level in Yunnan, China, during 1991-2010. A discrete Poisson model was used to identify purely spatial clusters of malaria deaths. Logistic regression analysis was performed to detect changes in geographic patterns. The results show that malaria mortality had declined in Yunnan over the study period and the most likely spatial clusters (relative risk [RR] = 23.03-32.06, P 0.001) of malaria deaths were identified in western Yunnan along the China-Myanmar border. The highest risk of malaria deaths occurred in autumn (RR = 58.91, P 0.001) and summer (RR = 31.91, P 0.001). The results suggested that the geographic distribution of malaria deaths was significantly changed with longitude, which indicated there was decreased mortality of malaria in eastern areas over the last two decades, although there was no significant change in latitude during the same period. Public health interventions should target populations in western Yunnan along border areas, especially focusing on floating populations crossing international borders.

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Section: Introductionmentioning

confidence: 99%

Spatial Patterns of Malaria Reported Deaths in Yunnan Province, China

Bi¹,

Hu²,

Yang³

et al. 2013

The American Society of Tropical Medicine and Hygiene

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“…A study by Toriman et al (2015) developed a map to display the distribution of drug addiction in Terengganu to identify hot spot areas of drug addiction and Buxton et al (2008) also produced a map of needle distribution sites showing the limitation of primary distribution and assisted health authorities to assess the reaching of supplies in their locations. Through GIS, a disease mapping would make it easy to update information and identify hot spot areas (Kenu et al, 2014;Srivastava et al, 2009). Sanders et al (2013) used Getis-Ord Gi* to identify the hot spot areas for their study.…”

Section: Gis Approach Towards Substance Abusementioning

confidence: 99%

A review on the potential role and application of GIS in the management of substance abuse

Fazillah

2017

Int. j. adv. appl. sci

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Health Geography can provide a spatial comprehension of a population's health, the environment's effect on health and disease and the distribution of disease in an area. It also deals with accessibility to health care and spatial distribution of health care providers and diseases. In this paper, we elaborate the importance of GIS in the public health fields and the restraint that faced in the implementing of GIS. In addition, we also highlighted the potential of GIS in substance abuse management based on the reviewing other studies, including understanding the geographic distribution of substance abuse problems, risk area spatial accessibility to the treatment center, and network analysis and modelling. Despite the ability of GIS in handling these cases, certain limitations were identified to be obstacles of the application of this technology for substance abuse. For example, the GIS application requires high expertise and technical users to handle the system. Through the power of GIS analyses, it is capable in identifying the risk area, monitoring the substance abuse problems, planning the strategic program, and providing a systematic system to aide in decision-making processes.

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“…In this context Remote Sensing and Geographic Information System (RS and GIS) can best fit to investigate the root problem both spatially and temporally. GIS also enable us to generate revised maps as soon as new data are available (Srivastava et al, 2009). In conjunction with Multi Criteria evaluation, GIS have been widely applied to vector-borne disease risk mapping.…”

Section: Introductionmentioning

confidence: 99%

Analytical Hierarchy Process modeling for malaria risk zones in Vadodara district, Gujarat

Bhatt

Joshi

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Malaria epidemic is one of the complex spatial problems around the world. According to WHO, an estimated 6, 27, 000 deaths occurred due to malaria in 2012. In many developing nations with diverse ecological regions, it is still a large cause of human mortality. Owing to the incompleteness of epidemiological data and their spatial origin, the quantification of disease incidence burdening basic public health planning is a major constrain especially in developing countries. The present study focuses on the integrated Geospatial and Multi-Criteria Evaluation (AHP) technique to determine malaria risk zones. The study is conducted in Vadodara district, including 12 Taluka among which 4 Taluka are predominantly tribal. The influence of climatic and physical environmental factors viz., rainfall, hydro geomorphology; drainage, elevation, and land cover are used to score their share in the evaluation of malariogenic condition. This was synthesized on the basis of preference over each factor and the total weights of each data and data layer were computed and visualized. The district was divided into three viz., high, moderate and low risk zones .It was observed that a geographical area of 1885.2sq.km comprising 30.3% fall in high risk zone. The risk zones identified on the basis of these parameters and assigned weights shows a close resemblance with ground condition. As the API distribution for 2011overlaid corresponds to the risk zones identified. The study demonstrates the significance and prospect of integrating Geospatial tools and Analytical Hierarchy Process for malaria risk zones and dynamics of malaria transmission.

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Identification of malaria hot spots for focused intervention in tribal state of India: a GIS-based approach

Cited by 68 publications

References 1 publication

Spatial Patterns of Malaria Reported Deaths in Yunnan Province, China

Spatial Patterns of Malaria Reported Deaths in Yunnan Province, China

A review on the potential role and application of GIS in the management of substance abuse

Analytical Hierarchy Process modeling for malaria risk zones in Vadodara district, Gujarat

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