Skip to content
#data science Open access

Age, Season and Vaccination Status as Key Determinants of Respiratory Viral Infection in Dogs of North-East India

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

The occurrence of respiratory viral infection in dogs is governed not only by the causative viral agent but also by several host and environmental factors, and identifying these risk factors is essential for designing effective, targeted control and vaccination strategies. However, risk-factor data on canine respiratory viral infection specific to North-East India remain scarce. This study was therefore undertaken to assess the incidence of virus-associated respiratory infection in relation to age, sex, breed, season and vaccination status in dogs presented with respiratory signs at the Veterinary Clinical Complex, College of Veterinary Science, AAU, Khanapara, Guwahati, Assam, over a period of one and a half years. A total of 280 dogs were examined and screened by PCR/RT-PCR, and the association between each risk factor and infection was tested using the chi-square test, with 97 dogs (34.64%) testing positive for one or more respiratory viruses. Incidence was significantly higher in puppies aged 0–6 months (16.79%) compared with older age groups (χ² = 19.56, P < 0.01), during the winter season (21.43%) compared with the pre-monsoon, monsoon and post-monsoon periods (χ² = 51.84, P < 0.01), and in unvaccinated dogs (22.14%) compared with vaccinated and irregularly vaccinated dogs (χ² = 47.64, P < 0.01). Among breeds, mongrels recorded the highest incidence (7.50%), followed by crossbred dogs (6.79%) and German Shepherds (5.36%), although the difference among breeds was not statistically significant (χ² = 6.95). A numerically higher, though statistically non-significant, incidence was also recorded in male dogs (21.07%) relative to females (13.57%). These findings identify young age, absence of regular vaccination and the winter season as the principal determinants of infection risk in this population, and underscore the importance of timely, complete vaccination schedules, targeted care for young and unvaccinated dogs, and season-specific owner awareness programmes in reducing the burden of respiratory viral disease among dogs of North-East India. Keywords: Canine respiratory viral infection; Risk factors; Age; Vaccination status; Seasonality

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Trajectory Balance: Improved Credit Assignment in GFlowNets

It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...

Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al. · 302 citations · ⚡60

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.