International Journal of Mosquito Research
Vol. 8, Issue 2, Part A (2021)
Negative binomial regression modeling to assess the influence of climatic factors on the dengue incidence during an epidemic in Mysore district
Author(s): Stavelin Abhinandithe K, Madhu B, Dr. Balasumbramanian S and Sahana KS
Abstract: The geographical expansion of the outbreak of dengue has created a global interest in identifying the influential factors that cause the spread of the disease. The purpose of this research paper was to recognize by negative binomial models using climatic conditions from 2008 to 2019, the environmental factors associated with the incidence of dengue in the dengue epidemic region of Mysore, Karnataka. The occurrence of dengue was significantly influenced by the maximum temperature at lag 3 and the mean relative humidity without lag time or lag 0. The occurrence of dengue in the Mysore district of Karnataka was not strongly associated with rainfall. The dengue case Incidence Rate Ratio (IRR) increases by 1.242 percent for every one degree Celsius increase in maximum temperature at lag 3, and for every one degree increase in relative humidity, dengue incidence increases by 1.076 percent. The vector control and dengue management programme should be introduced at least three months in advance of the dengue epidemic season, taking into account the impact of maximum temperatures in previous months on the incidence of dengue.
How to cite this article:
Stavelin Abhinandithe K, Madhu B, Dr. Balasumbramanian S, Sahana KS. Negative binomial regression modeling to assess the influence of climatic factors on the dengue incidence during an epidemic in Mysore district. Int J Mosq Res 2021;8(2):19-29.