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Spatial and temporal analysis of haemorrhagic septicaemia outbreaks in India over three decades (1987-2016).
Chanda, Mohammed Mudassar; Purse, Bethan V; Hemadri, Divakar; Patil, Sharanagouda S; Yogisharadhya, Revanaiah; Prajapati, Awadhesh; Shivachandra, Sathish Bhadravati.
Afiliação
  • Chanda MM; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, 560064, Karnataka, India. Mudassar.Mohd@icar.gov.in.
  • Purse BV; UK Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, Oxfordshire, OX10 8BB, UK.
  • Hemadri D; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, 560064, Karnataka, India.
  • Patil SS; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, 560064, Karnataka, India.
  • Yogisharadhya R; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, 560064, Karnataka, India.
  • Prajapati A; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, 560064, Karnataka, India.
  • Shivachandra SB; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, 560064, Karnataka, India.
Sci Rep ; 14(1): 6773, 2024 03 21.
Article em En | MEDLINE | ID: mdl-38514747
ABSTRACT
Haemorrhagic septicaemia (HS) is an economically important disease affecting cattle and buffaloes and the livelihoods of small-holder farmers that depend upon them. The disease is caused by Gram-negative bacterium, Pasteurella multocida, and is considered to be endemic in many states of India with more than 25,000 outbreaks in the past three decades. Currently, there is no national policy for control of HS in India. In this study, we analysed thirty year (1987-2016) monthly data on HS outbreaks using different statistical and mathematical methods to identify spatial variability and temporal patterns (seasonality, periodicity). There was zonal variation in the trend and seasonality of HS outbreaks. Overall, South zone reported maximum proportion of the outbreaks (70.2%), followed by East zone (7.2%), Central zone (6.4%), North zone (5.6%), West zone (5.5%) and North-East zone (4.9%). Annual state level analysis indicated that the reporting of HS outbreaks started at different years independently and there was no apparent transmission between the states. The results of the current study are useful for the policy makers to design national control programme on HS in India and implement state specific strategies. Further, our study and strategies could aid in implementation of similar approaches in HS endemic tropical countries around the world.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Pasteurella multocida / Septicemia Hemorrágica Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Pasteurella multocida / Septicemia Hemorrágica Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article