RRJoVST (2018) 16-23 © STM Journals 2018. All Rights Reserved Page 16 Research & Reviews: Journal of Veterinary Science and Technology ISSN: 2319-3441 (Online), ISSN: 2349-3690 (Print) Volume 7, Issue 1 www.stmjournals.com Spatial and Temporal Epidemiological Analysis of Livestock Diseases in Maharashtra State P. Krishnamoorthy 1, *, S.B. Tatwarthy 2 , S.N. Suryawanshi 2 , B.R. Shome 1 , K.P. Suresh 1 , Parimal Roy 1 1 ICAR National Institute of Veterinary Epidemiology and Disease Informatics, Ramagondanahalli, Yelahanka, Bengaluru, Karnataka, India 2 Disease Investigation Section, Department of Animal Husbandry, Government of Maharashtra, Aundh, Pune, Maharashtra, India Abstract In the present study, spatio-temporal analysis of livestock diseases in Maharashtra was undertaken. Time series data (2005–2016) on outbreaks, diagnosed cases, death cases, districts were collected and analyzed for epidemiological parameters likes cumulative outbreaks, diagnosed cases, death cases, spatial distribution, prevalence rate, mortality rate and case fatality rates. Cumulative outbreaks during the period was highest for Black Quarter (BQ) (203) followed by Haemorrhagic Septicemia (HS) (176), Pesti des petits ruminants (PPR) (137), Swine Fever (SF) (36), Sheep and Goat (SG) Pox (33), Foot and Mouth disease (FMD) (6), Anthrax (SG) (18), Enterotoxaemia (ET) (17) and Anthrax (Bovines) (7). The spatial distribution analysis revealed highest cumulative outbreaks were in Ahmednagar (106), Latur (85) and Nashik (59) districts. Agroclimatic zone wise analysis revealed that more outbreaks were reported from Central Maharashtra Plateau zone (37.2%), Western Maharashtra Plain zone (24.1%) and Western Ghat zone (12.9%). The prevalence rate per 10 3 population revealed highest in SF (29.24), followed by PPR (3.39), Pox (0.34), FMD (0.16), HS (0.11), Anthrax (SG) (0.09), BQ (0.06), Anthrax (Bovines) (0.04) and ET (0.04). The case fatality rate was highest for SF (68.1%), Anthrax (SG) (64.5%) and BQ (62.8%), as observed. Based on epidemiological analysis, it may be concluded that BQ, HS, PPR and SF were the important livestock diseases in Maharashtra, its occurrence were high in Central Maharashtra Plateau, Western Maharashtra plain and Western Ghat and in Ahmednagar, Latur, Pune and Nashik districts. Thus, appropriate preventive measures need to be undertaken in the identified areas to mitigate the livestock diseases in Maharashtra state. Keywords: Spatial, temporal analysis, livestock diseases, Maharashtra *Author for Correspondence E-mail: krishvet@gmail.com INTRODUCTION Livestock diseases of infectious nature are critically important in livestock farming systems, since disease outbreaks reduce the growth and productivity of animals. Epidemiological analysis of livestock diseases will help in proper planning, execution and monitoring of livestock disease control programmes and preventive measures. The livestock diseases are important since it causes great economic loss to the farmers and affects the economy in India. Maharashtra, a state in western region India, comprises of 36 districts with total livestock population of 32.49 million consisting of 15.48, 5.59, 2.58 and 8.43 million of cattle, buffalo, sheep and goat, respectively as per 19th livestock census 2012 [1]. Maharashtra state continues to experience disease outbreaks like Anthrax (Bovines), Black quarter (BQ), Foot and Mouth Disease (FMD), Haemorrahgic Septicemia (HS) in large ruminants (cattle and buffaloes) and Anthrax (SG), Enterotoxaemia (ET), Peste des petits ruminants (PPR), Sheep and Goat (SG) pox in small ruminants (sheep and goats) and Swine Fever (SF) in pigs. To effectively combat the threats posed by the various livestock diseases, there is a need for clear understanding of the epidemiology of the livestock diseases [2]. The objective of an epidemiological study is to identify the districts, zones, and species prone for disease outbreaks and that need to be taken into consideration in the development of effective preventive and control measures. The spatial and temporal epidemiological analysis of