Retrospective study on dengue transmission: Influence of climatic factors and spatial prevalence in Chennai during 2016-2017

S Arunagiri; B. Vasudevan; S. Sanjeevi Prasad; S. Srihamdathwani

doi:10.53730/ijhs.v6nS2.7576

Authors

Arunagiri S
arunagiriselvaraj@gmail.com
Ph.D. research scholar at the University of Madras
B. Vasudevan Assistant. Professor in Geography Department, Presidency College, Chennai-5
S. Sanjeevi Prasad Assistant. Professor in Geography from University of Madras
S. Srihamdathwani 2nd M.Sc Student, Department of Geography, University of Madras, Chennai-25

Keywords:

dengue, climate, temperature, geographic information system, statistical analysis

Abstract

Weather variables, mainly temperature and humidity, influence vectors, viruses, human biology, ecology and consequently the intensity and distribution of vector-borne diseases . The climatic factors connected with Dengue fever happening in Chennai were investigated. The factors accountable for Dengue fever have been recognized and mapped to dengue cases in Chennai city. This work studies the association between yearly climate patterns between 2016 and 2017 and the spread of Dengue fever in Chennai. Monthly rainfall and temperature is taken as the factors of study. The study develops a statistical analysis to quantitatively assess the relationship between climate and Dengue fever. The correlation technique was used to fit the statistical model. The Inverse Distance Weighted (IDW) interpolation and Geographic Information System (GIS) techniques were used in mapping the spatial diffusion of Dengue fever risk zones. The results show that there is a significant correlation between Dengue fever and climate factors for the majority of the study area. Statistical analysis was conducted for comparison of model outputs and predictions.

Downloads

Download data is not yet available.

References

Campbell, K. M., Lin, C. D., Iamsirithaworn, S., & Scott, T. W. (2013). The complex relationship between weather and dengue virus tra1.nsmission in Thailand. American Journal of Tropical Medicine and Hygiene (Vol. 89).

Cheong, Y. L., Burkart, K., Leitão, P. J., & Lakes, T. (2013). Assessing whether effects on dengue disease in Malaysia. International Journal of Environmental Research and Public Health (Vol. 10).

Colón-González, F. J., Lake, I. R., & Bentham, G. (2011). Climate variability and dengue fever in warm and humid Mexico. American Journal of Tropical Medicine and Hygiene (Vol. 84)

Dom, N., Hassan, A. A., Latif, Z. A., & Ismail, R. (2013). Generating temporal model using climate variables for the prediction of dengue cases in Subang Jaya, Malaysia. Asian Pacific Journal of Tropical Disease (Vol. 3)

Fan, J., Wei, W., Bai, Z., Fan, C., Li, S., Liu, Q., & Yang, K. (2015). A systematic review and meta-analysis of dengue risk with temperature change. International Journal of Environmental Research and Public Health (Vol. 12).

Kesetyaningsih, T. W., Andarini, S., Sudarto, S., & Pramoedyo, H. (2018). Determination of Environmental Factors Affecting Dengue Incidence in Sleman District, Yogyakarta, Indonesia. African Journal of Infectious Diseases, 12(1S), 13–35.

Liyanage, P., Tissera, H., Sewe, M., Quam, M., Amarasinghe, A., Palihawadana, P.,Rocklöv, J. (2016). A spatial hierarchical analysis of the temporal influences of the el niño-southern oscillation and weather on dengue in Kalutara District, Sri Lanka. International Journal of Environmental Research and Public Health (Vol. 13).

Lozano-Fuentes, S., Hayden, M. H., Welsh-Rodriguez, C., Ochoa-Martinez, C., Tapia-Santos, B., Kobylinski, K. C., Eisen, L. (2012). The dengue virus mosquito vector Aedes aegypti at high elevation in México. American Journal of Tropical Medicine and Hygiene (Vol. 87).

Muhammad Shahzad Sarfraz, (2012) , Etl, Analyzing The Spatio Temporal Relationship Between Dengue Vector Larval Density And Land-Use Using Factor Analysis And Spatial Ring Mapping,oct-2012,vol-12,853.

Martínez-Bello, D. A., López-Quílez, A., & Torres Prieto, A. (2017). Relative risk estimation of dengue disease at small spatial scale. International Journal of Health Geographics (Vol. 16).

Nakapan, S., Tripathi, N. K., Tipdecho, T., & Souris, M. (2012). Spatial diffusion of influenza outbreak-related climate factors in Chiang Mai Province, Thailand. International Journal of Environmental Research and Public Health (Vol. 9).

Nguyen, L. T., Le, H. X., Nguyen, D. T., Ho, H. Q., & Chuang, T. W. (2020). Impact of climate variability and abundance of mosquitoes on dengue transmission in central Vietnam. International Journal of Environmental Research and Public Health (Vol. 17).

Phaisarn Jeefoo, Nitin Kumar Tripathi and Marc Souris, Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Chachoengsao Province, Thailand, volume 8 (2011), page 51-74.

Stewart-Ibarra, A. M., & Lowe, R. (2013). Climate and non-climate drivers of dengue epidemics in southern coastal Ecuador. American Journal of Tropical Medicine and Hygiene (Vol. 88)

Tran, B. L., Tseng, W. C., Chen, C. C., & Liao, S. Y. (2020). Estimating the threshold effects of climate on dengue: A case study of Taiwan. International Journal of Environmental Research and Public Health (Vol. 17).

Gupta, N., Srivastava, S., Jain, A., Chaturvedi, U.C.,(2012). Dengue in India. Indian Journal of Medical (Vol. 136)