Upadhyay, A.K.Chauhan, Ram Swaroop2022-10-052022-10-052022-07https://krishikosh.egranth.ac.in/handle/1/5810188598In the present study, meta-analysis on rabies in India by the use of a random-effect model was done to estimate the prevalence of the disease in India. The data is obtained from the peer-reviewed articles and publications on this disease during 2010-2020. The data which is used in the present study includes the studies in which the samples are completely random. The Meta-analysis for the epidemiology and sero-prevalence of rabies was done on a total of 32 studies. Further subgroup analysis was done like analysis for species, geographical regions, and diagnostic tests.The total sample size for prevalence estimation in humans are 49828 and sero-prevalence estimation in dogs by ELISA and RFFIT are 1856 and 689 respectively. Pooled prevalence of published papers using random-effect model for rabies in humans was estimated 65% (95%CI: 40%-86%) and in dogs by ELISA and RFFIT was estimated 53%(95%CI: 33%-73%) and72%(54%CI: 95%- 86%) respectively.Publication bias for rabies in humans through regression test revealed significant publication bias (z = 0.6947, p> 0.05). Sero-prevalence of rabies in dogs by ELISA by rank correlation test showed non-significant (Kendall’s tau = 0.1111, p> 0.05) and regression test revealed significant publication bias (z= 0.2142, p>0.05). For seroprevalence of rabies in dogs by RFFIT the rank correlation test showed non-significant (Kendall’s tau = 0.4667, p > 0.05)and regression test revealed significant publication bias (z= 0.3222, p>0.05). The majority of bite victims were between the ages of 0-20 (21.49%) followed by(20.30%) the ages of 21-40. In the studies that were mentioned, males were disproportionately more likely (71.87%) to have been bitten by a dog than females (28.13%). The majority of victims suffer animal bites on their extremities. Maximum dog bites were recorded in the evening (62.9%). According to a survey, 15% of dogs in the nation were vaccinated. With the help of definite and precise clinical history with epidemiological rates, relation between associated factors may help in the identification of the highest disease burden that helps us to improve our knowledge to develop a plan of action for effective control and prevention measureEnglishThesis