This study was aimed to understand the temporal and spatial epidemiology of peste des petits ruminants (PPR) in India using national surveillance data available in the National Animal Diseases Referral Expert System (NADRES) along with its control plan undertaken. On analysis of the outbreaks/cases reports in sheep and goats in NADRES database from 1995 to 2019, it was observed that PPR features among the top ten diseases and stands first among viral diseases, and among reported deaths, PPR accounts for 36% of mortality in sheep and goats. PPR outbreaks occur round the year in all the seasons but are encountered most frequently during the lean period especially, in the winter season (January to February) in different regions/zones. The reported outbreaks have been progressively declined in most of the states in India due to the implementation of a mass vaccination strategic program since 2011. On state-wise analysis, the PPR risk-areas showed wide variations with different levels of endemicity. Andhra Pradesh, West Bengal, and Karnataka were the top three outbreaks reported states during 1995–2010, whereas Jharkhand and West Bengal states reported more outbreaks during 2011–2015 and 2016–2019 periods. The temporal and spatial distribution of PPR in India provides valuable information on the hotspot areas/zones to take appropriate policy decisions towards its prevention and control in different regions/zones of India. The study also identifies when and where intensive surveillance and vaccination along with biosecurity measures need to be implemented for the control and eradication of the disease from India in consonance with the PPR Global Control and Eradication Strategy.

Aim: The study aimed to determine the overall prevalence of livestock diseases in North Eastern Region (NER) of India, through a systematic review and meta-analysis of published data. Materials and Methods: The articles used for the study were retrieved from PubMed, J-Gate Plus, Indian Journals, and Google scholar, R open-source scripting software 3.4.3. Metafor, Meta. The Chi-square test was conducted to assess for the heterogeneity, forest plot (confidence interval [CI] plot) is a method utilized to present the results of meta-analysis, displaying effect estimate and their CIs for each study were used for searching and retrieval of livestock diseases prevalence data in India using a search strategy combining keywords and related database-specific subject terms from 2008 to 2017 in English only. Results: The prevalence of various livestock diseases are foot-and-mouth disease (21%), bluetongue (28%), brucellosis in bovine (17%), brucellosis in caprine (2%), brucellosis in porcine (18%), brucellosis in sheep and goat (3%), babesiosis (6%), theileriosis (26%), porcine reproductive and respiratory syndrome (1%), porcine cysticercosis (6%), classical swine fever (31%), Porcine circovirus (43%), and Peste des petits ruminants (15%). This information helps policymakers to take appropriate measures to reduce the disease burden. Conclusion: This study indicates that the overall prevalence of various livestock diseases in NER of India.

Livestock disease outbreaks become a burden to the animal husbandry farmers and cause great economic loss in India. Period regression analysis is used to find the periodic or cyclic character of livestock disease outbreaks in animals, as many other natural phenomena in environment is periodic or cyclic in nature. In present study, livestock disease outbreaks of anthrax (AX), black quarter (BQ), enterotoxaemia (ET), haemorrahgic septicemia (HS), bluetongue (BT), foot-and-mouth disease (FMD), peste des petits ruminants (PPR), sheep and goat pox (SGP), babesiosis (BA), fasciolosis (FA), theileriosis (TH) and trypanosomosis (TR) were analyzed using periodic regression to know the trend and future prediction of outbreaks. Time series data on disease outbreaks, month and year was collected from National Animal Disease Referral Expert System database for 2001–2016. The regression curves were prepared with baseline, observed outbreaks and upper bound curves for 12 livestock diseases. The analysis revealed decreasing trend for AX, BQ, ET, HS, FMD, PPR, SGP and a cyclical trend of peak occurrence for every 4–5 years was observed in BQ, PPR, SGP, FA and TR. However, TR showed increasing trend and BT, BA, FA, TH outbreaks were maintained at the same trend in the past and future also. Further, BQ in 2026, ET in 2020, HS in 2022, FMD in 2023, outbreak numbers may touch the zero point, if the preventive measures are continued for these diseases effectively. Thus, continuous and constant efforts are needed for prevention of livestock diseases outbreaks from all stakeholders, which will improve the economy of farmers in India.