Geo-modeling approach of determinants of Chikungunya and its spatial distribution pattern in Madurai city, Tamil Nadu, India

Structural equation modelling (SEM) needs to be a multivariate technique found increasingly in scientific investigations to test and evaluate multivariate techniques of the social determinants of health in urban settings. This analysis can help and guide clinical policy decision- making for the use of future chikungunya vaccines for residents of affected areas. The dimensions of the environment influence the health status of individuals and populations. The version specification defines the hypothesized relationship of the various variables in a SEM primarily based totally on one’s knowledge. The techniques of analysis of moment structure software package and path analysis with structural equation modeling were used for data analysis. A multivariate statistical technique ‘factor analysis’ was used to identify the major dimensions of chikungunya-affected wards. From the Z score mapping of the results, both primary and secondary data have been analyzed using suitable statistical techniques and cartographic tools to verify the hypotheses. The primary survey conducted was based on the method of stratified random sampling and a total of 600 samples were collected. The study has shown that by integrating spatial analysis using a Geographical information system (GIS) the distribution of fever cases within a particular area. This study concludes that the four factors: living environment, utilization of drinking water, infrastructure, and healthcare management are the major determinants for the cause of chikungunya in Madurai city.