The spatial clustering of dengue disease and risk susceptibility mapping: an approach towards sustainable health management in Kharagpur city, India

다국어 초록 (Multilingual Abstract)

Dengue fever becomes one of the serious vectorborne diseases in the world, particularly in tropical countries.
Mosquitoes borne disease transmission are mainly transpired by physical, environmental and socio-economic variables. Therefore, disease mapping is essential for monitoring, prediction, and prevention of dengue.
Accordingly, the aims of this research are to find out the dengue outbreak, spatial pattern, understand the factors and construct a risk map to accurately predict and control of dengue. For this purpose, the Kharagpur city of West Bengal has been selected which is frequently encountered with the dengue outbreak. Epidemiological data were collected from the district health department. The spatial scan statistics of the Poisson model and Local Moran’s I is used for the mapping of spatial patterns and concentration of dengue and Monte Carlo hypothesis testing was applied to test the significance of the result. Therefore, multiple logistic regression analysis has been applied with selected parameters to produce a risk map for the entire study area.
Finally, this study has proposed suitable site-specific management strategies. However, this study provides an example of disease risk estimation which will be remarkable for spatial analysis of epidemiological research as well as health planning and disease surveillance.

참고문헌 (Reference)

1 Lan Huang, "Weighted Normal Spatial Scan Statistic for Heterogeneous Population Data" Informa UK Limited 104 (104): 886-898, 2009

2 David J. Rogers, "Using global maps to predict the risk of dengue in Europe" Elsevier BV 129 : 1-14, 2014

3 Yiji Li, "Urbanization Increases Aedes albopictus Larval Habitats and Accelerates Mosquito Development and Survivorship" Public Library of Science (PLoS) 8 (8): e3301-, 2014

4 Rodriguez-Roche, R., "Understanding the dengue viruses and progress towards their control" 2013

5 Rogers, D. J., "The global distribution of yellow fever and dengue" 62 : 181-220, 2006

6 Bhatt, S., "The global distribution and burden of dengue" 496 (496): 504-507, 2013

7 Jeffrey D Stanaway, "The global burden of dengue: an analysis from the Global Burden of Disease Study 2013" Elsevier BV 16 (16): 712-723, 2016

8 Piraya Bhoomiboonchoo, "The Spatial Dynamics of Dengue Virus in Kamphaeng Phet, Thailand" Public Library of Science (PLoS) 8 (8): e3138-, 2014

9 Karen M. Campbell, "The Complex Relationship between Weather and Dengue Virus Transmission in Thailand" American Society of Tropical Medicine and Hygiene 89 (89): 1066-1080, 2013

10 Satya Kalluri, "Surveillance of Arthropod Vector-Borne Infectious Diseases Using Remote Sensing Techniques: A Review" Public Library of Science (PLoS) 3 (3): e116-, 2007

11 Lawson, A., "Statistical methods in spatial epidemiology" Wiley 2001

12 Phaisarn Jeefoo, "Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Chachoengsao Province, Thailand" MDPI AG 8 (8): 51-74, 2011

13 Duncan, E. W., "Spatial smoothing in Bayesian models : A comparison of weights matrix specifications and their impact on inference" 16 (16): 1-16, 2017

14 Kim B. Stevens, "Spatial modelling of disease using data- and knowledge-driven approaches" Elsevier BV 2 (2): 125-133, 2011

15 Gouri Sankar Bhunia, "Spatial clustering of Plasmodium falciparum in Bihar (India) from 2007 to 2015" 대한공간정보학회 24 (24): 639-648, 2016

16 Sarah E Hinman, "Spatial and temporal structure of typhoid outbreaks in Washington, D.C., 1906-1909: Evaluating local clustering with the Gi* statistic" Springer Science and Business Media LLC 5 (5): 13-, 2006

17 Mattia Manica, "Spatial and Temporal Hot Spots of Aedes albopictus Abundance inside and outside a South European Metropolitan Area" Public Library of Science (PLoS) 10 (10): e0004758-, 2016

18 Maria F. Vincenti-Gonzalez, "Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela" Public Library of Science (PLoS) 11 (11): e0005317-, 2017

19 최모나, "Spatial Analysis in Epidemiology" 대한의료정보학회 19 (19): 148-149, 2013

20 Rokeya Akter, "Socio-demographic, ecological factors and dengue infection trends in Australia" Public Library of Science (PLoS) 12 (12): e0185551-, 2017

21 Kulldorff, B. M., "SaTScan user guide V9.5"

22 Daniel Adyro Martínez-Bello, "Relative risk estimation of dengue disease at small spatial scale" Springer Science and Business Media LLC 16 (16): 2017

23 Marcos O. Prates, "Relative risk estimates from spatial and space-time scan statistics: are they biased?" Wiley 33 (33): 2634-2644, 2014

24 Antoine Adde, "Predicting Dengue Fever Outbreaks in French Guiana Using Climate Indicators" Public Library of Science (PLoS) 10 (10): e0004681-, 2016

25 Chief Medical Officer of the Health(CMOH), "Paschim Medinipur (2017) under Department of Health and Family welfare, Government of West Bengal"

26 Census of India, West Bengal State, "Office of the Registrar General and Census Commissioner"

27 "National Vector Borne Disease Control Programme, Ministry of Health and Family Welfare Government of India"

28 Valérie R Louis, "Modeling tools for dengue risk mapping - a systematic review" Springer Science and Business Media LLC 13 (13): 50-, 2014

29 Hassan M. Khormi, "Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study" PAGEPress Publications 6 (6): 77-, 2011

30 Suleman Atique, "Meteorological influences on dengue transmission in Pakistan" Medknow 9 (9): 954-961, 2016

31 Luc Anselin, "Local Indicators of Spatial Association-LISA" Wiley 27 (27): 93-115, 1995

32 Wakefield, J., "Issues in the statistical analysis of small area health data" 18 : 2377-2399, 1999

33 Sunil Dhiman, "Insecticide susceptibility and dengue vector status of wild Stegomyia albopicta in a strategically important area of Assam, India" Springer Science and Business Media LLC 7 (7): 295-, 2014

34 Aruna Srivastava, "Identification of malaria hot spots for focused intervention in tribal state of India: a GIS-based approach" Springer Science and Business Media LLC 8 (8): 30-, 2009

35 Richards, S. L., "Host-feeding patterns of Aedes albopictus(Diptera : Culicidae)in relation to availability of human and domestic animals in suburban landscapes of central North Carolina" 43 (43): 543-551, 2006

36 Hone-Jay Chu, "GIS-aided planning of insecticide spraying to control dengue transmission" Springer Science and Business Media LLC 12 (12): 42-, 2013

37 Palaniyandi, M., "GIS for mapping updates of spatial spread and the ecological reasoning of JE transmission in India(1956–2012)" 7 (7): 126-133, 2013

38 Bushra Khalid, "Environmental risk factors and hotspot analysis of dengue distribution in Pakistan" Springer Science and Business Media LLC 59 (59): 1721-1746, 2015

39 A.A. Hanafi-Bojd, "Entomological and epidemiological attributes for malaria transmission and implementation of vector control in southern Iran" Elsevier BV 121 (121): 85-92, 2012

40 Wan-Norafikah, O., "Distribution of Aedes mosquitoes in three selected localities in Malaysia" 41 (41): 1309-1313, 2012

41 Harrington, L. C., "Dispersal of the dengue vector Aedes aegypti within and between rural communities" 72 (72): 209-220, 2005

42 Samuel, P. P., "Dengue vectors prevalence and the related risk factors involved in the transmission of dengue in Thiruvananthapuram district, Kerala, South India" 51 (51): 313-319, 2014

43 World Health Organization, "Dengue guidelines for diagnosis, treatment, prevention, and control" World Health Organization 1-160, 2009

44 J A Patz, "Dengue fever epidemic potential as projected by general circulation models of global climate change." Environmental Health Perspectives 106 (106): 147-153, 1998

45 Louis Lambrechts, "Consequences of the Expanding Global Distribution of Aedes albopictus for Dengue Virus Transmission" Public Library of Science (PLoS) 4 (4): e646-, 2010

46 D Fischer, "Climatic suitability of Aedes albopictus in Europe referring to climate change projections: comparison of mechanistic and correlative niche modelling approaches" European Centre for Disease Control and Prevention (ECDC) 19 (19): 2014

47 Lindsay P. Campbell, "Climate change influences on global distributions of dengue and chikungunya virus vectors" The Royal Society 370 (370): 20140135-, 2015

48 KN Kolivras, "Changes in dengue risk potential in Hawaii, USA, due to climate variability and change" Inter-Research Science Center 42 (42): 1-11, 2010

49 Fernando L. P. Oliveira, "Border analysis for spatial clusters" Springer Science and Business Media LLC 17 (17): 2018

50 A S Mugglin, "Bayesian Areal Interpolation, Estimation, and Smoothing: An Inferential Approach for Geographic Information Systems" SAGE Publications 31 (31): 1337-1352, 1999

51 Yoon Ling Cheong, "Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees" Elsevier BV 10 : 75-84, 2014

52 Leigh R. Bowman, "Assessing the Relationship between Vector Indices and Dengue Transmission: A Systematic Review of the Evidence" Public Library of Science (PLoS) 8 (8): e2848-, 2014

53 Hagenlocher, M., "Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia : Statistical vs expert-based modeling" 12 : 12-36, 2013

54 Pablo Méndez-Lázaro, "Assessing Climate Variability Effects on Dengue Incidence in San Juan, Puerto Rico" MDPI AG 11 (11): 9409-9428, 2014

55 Esri, R., "ArcGIS desktop: Release 10" Environmental Systems Research Institute 2012

56 Kulldorff, M., "An isotonic spatial scan statistic for geographical disease surveillance" 48 (48): 94-101, 1999

57 Toshiro Tango, "A flexibly shaped spatial scan statistic for detecting clusters" Springer Science and Business Media LLC 4 (4): 11-, 2005