Using analytic hierarchy process with GIS for Dengue risk mapping in Kolkata Municipal Corporation, West Bengal, India

Sk Ajim Ali1, Ateeque Ahmad1
1Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Gubler, D. J. (2002). Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century. Trends in Microbiology, 10(2), 100–103.

Gupta, N., Srivastava, S., Jain, A., & Chaturvedi, U. C. (2012). Dengue in India. The Indian Journal of Medical Research, 136(3), 55.

Bandyopadhyay, B., Bhattacharyya, I., Adhikary, S., Konar, J., Dawar, M., Sarkar, J., et al. (2013). A comprehensive study on the 2012 dengue fever outbreak in Kolkata, India. ISRN Virology, 207580, 1–5.

Biswas, D. K., Bhunia, R., & Basu, M. (2013). Dengue Fever in a rural area of West Bengal, India, 2012: An outbreak investigation. WHO South-East Asia Journal of Public Health, 3(1), 46–50.

Sharma, S. N., Ghosh, D., Srivastava, P. K., Sonal, G. S., & Dhariwal, A. C. (2014). Vector borne diseases in Kolkata Municipal Corporation KMC): Achievements and challenges. Journal of Communicative Disease, 46(2), 68–76.

Nazri, C. D., Ahmad, A. H., Latif, Z. A., Ismail, R., & Pradhan, B. (2012). Coupling of remote sensing data and environmental-related parameters for dengue transmission risk assessment in Subang Jaya, Malaysia. Geocarto International, 28(3), 1–15. https://doi.org/10.1080/10106049.2012.696726 .

Gil, J. F., Nasser, J. R., Cajal, S. P., Juarez, M., Acosta, N., Cimino, R. O., et al. (2010). Urban transmission of American cutaneous leishmaniasis in Argentina: Spatial analysis study. American Journal of Tropical Medicine and Hygeine, 82(3), 433–440.

Sarfraz, M. S., Tripathi, N. K., Faruque, F. S., Bajwa, U. I., Kitamoto, A., & Souris, M. (2014). Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters. Geospatial Health, 8(3), S685–S697.

Nazri, C. D., Ahmad, A. H., Latif, Z. A., & Ismail, R. (2016). Application of GIS-based analytical hierarchy process as a tool for Dengue risk assessment. Asian Pacific Journal of Tropical Disease, 6(12), 930–937.

Richardson, D. B., Volkow, N. D., Kwan, M. P., Kaplan, R. M., Goodchild, M. F., & Croyle, R. T. (2013). Spatial turn in health research. Science, 339(6126), 1390–1392.

Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48, 9–26.

Saaty, T. L. (2012). Decision making for leaders: The analytic hierarchy process for decisions in a complex world (3rd Revised ed.). Pittsburg: RWS Publication.

Tu, C., Fang, Y., Huang, Z., & Tan, R. (2014). Application of the analytic hierarchy process to a risk assessment of emerging infectious diseases in Shaoxing city in southern China. Japanese Journal of Infectious Diseases, 67(6), 417–422.

Rakotomanana, F., Randremanana, R., Rabarijaona, L., Duchemin, J., Ratovonjato, J., Ariey, F., et al. (2007). Determining areas that require indoor insecticide spraying using Multi Criteria Evaluation, a decision-support tool for malaria vector control programmes in the Central Highlands of Madagascar. International Journal of Health Geographic, 6(1), 1–11.

Chen, Y., Yua, J., & Khan, S. (2010). Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environmental Modelling and Software, 25, 1582–1591.

Nakhapakorn, K., & Tripathi, N. K. (2005). An information value based analysis of physical and climatic factors affecting Dengue Fever and Dengue Haemorrhagic Fever incidence. International Journal of Health Geographics, 4, 1–13.

Hii, Y. L., Zaki, R. A., Aghamohammadi, N., & Rocklov, J. (2016). Research on climate and Dengue in Malaysia: A systematic review. Current Environmental Health Reports, 3(1), 81–90.

Morin, C. W., Comrie, A. C., & Ernst, K. (2013). Climate and dengue transmission: evidence and implications. Environmental Health Perspectives, 121, 1264–1272.

Barrera, R., Amador, M., & MacKay, A. J. (2011). Population dynamics of aedes Aegypti and dengue as influenced by weather and human behaviour in San Juan, Puerto Rico. PLoS Neglected Tropical Diseases, 5(12), e1378. https://doi.org/10.1371/journal.pntd.0001378 .

Cheong, Y. L., Leitao, P. J., & Lakes, T. (2014). Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. Spatial and Spatio-Temporal Epidemiology, 10, 75–84.

Khan, E., Kisat, M., Khan, N., Nasir, A., Ayub, S., & Hasan, R. (2010). Demographic and clinical features of Dengue Fever in Pakistan from 2003–2007: A retrospective cross-sectional study. PLOS. https://doi.org/10.1371/journal.pone.0012505 .

Jovanovic, P. (1987). Satellite remote sensing imagery in public health. Acta Astronautica, 15(11), 951–953.

Rochon, G. L., Quansah, J. E., Fall, S., Araya, B., Biehl, L. L., Thiam, T., et al. (2010). Remote sensing, public health & disaster mitigation. Geospatial Technologies in Environmental Management, 3, 187–209.

Hay, S. I. (2000). An overview of remote sensing and geodesy for epidemiology and public health application. Advances in Parasitology, 47, 1–25.

Gubler, D. J. (2004). Cities spawn epidemic dengue viruses. Nature Medicine, 10, 129–130.

Barreto, M. L., & Teixeira, M. G. (2008). Dengue Fever: A call for local, national, and international action. Lancet, 372, 200–205.

Schmidt, W. P., Suzuki, M., Thiem, V. D., White, R. G., Tsuzuki, A., Yoshida, L. M., et al. (2011). Population density, water supply, and the risk of Dengue Fever in Vietnam: Cohort study and spatial analysis. Interdisciplinary Research Collection, PLOS,. https://doi.org/10.1371/journal.pmed.1001082 .

Braga, C., Luna, C. F., Martelli, C. M., de Souza, W. V., Cordeiro, M. T., et al. (2010). Seroprevalence and risk factors for dengue infection in socio-economically distinct areas of Recife, Brazil. Acta Tropica, 113, 234–240.

Gubler, D. J. (2006). Dengue/dengue haemorrhagic fever: history and current status. Novartis Foundation Symposium, 277, 3–16.

Sergo, P. (2007). Dengue Fever warming up to human habits. http://www.scienceline.org . Accessed 29 Nov 2017.

Mu, E., & Rojas, M. P. (2017). Understanding the analytical hierarchy process. Springer Briefs in Operational Research. https://doi.org/10.1007/978-3-319-33861-3_2 .

Jeefoo, P., Tripathi, N. K., & Souris, M. (2010). Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao Province, Thailand. International Journal of Environmental Research and Public Health, 8(1), 51–74.

Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts and applications of the analytic hierarchy process (Vol. 175). Berlin: Springer.

Biswas, D., Biswas, B., Mandal, B., Banerjee, A., Mukerjee, T. K., & Nandi, J. (2011). Evaluating school students’ perception about mosquitoes and mosquitoes-borne disease in the city of Kolkata, India. Dengue Bulletin, 35, 223–230.

Khormi, H. M., & Kumar, L. (2011). Modelling Dengue Fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study. Science of the Total Environment, 409(22), 4713–4719.

Siqueira-Junior, J. B., Maciel, I. J., Barcellos, C., Souza, W. V., Carvalho, M. S., Nascimento, N. E., et al. (2008). Spatial point analysis based on dengue surveys at household level in central Brazil. BMC Public Health, 8(1), 361–366.