Dr Dynatra Subasinghe

Teaching Fellow in Small Animal Practice
+44 (0)1483 689936
VMS 02


Areas of specialism

Small Animal Practice, Toxicology and Pharmacology

University roles and responsibilities

  • Faculty of Health and Medical Sciences representative for Student Experience subcommittee
  • Undergraduate Student Tutor


    Research interests

    My teaching

    My publications



    Maheeka Seneviratne, Dynatra W.D. Subasinghe, and Penny J. Watson (2016). A survey of pet feeding practices of dog owners visiting a veterinary practice in Colombo, Sri Lanka
    View abstract View full publication
    In Sri Lanka, home‐cooked diets are often fed due to the cost and poor availability of commercial diets. Milk has traditionally been a popular food to give to dogs in this country. There is a recent perceived increase in the number of owners choosing commercial diets for their pets. This study aimed to determine how dog owners visiting a single veterinary practice in Colombo fed their pets. We hoped that this would help achieve a general understanding of pet feeding practices in Sri Lanka and gain some basic demographic information on the owned dog population. The study was conducted via questionnaires distributed to pet owners visiting a first opinion and referral practice in Colombo. Hundred questionnaires were collected and analysed, 69% of study dogs were neutered, 42% of dogs were fed only home‐cooked food, while 18% were fed only commercial food. About 40% of dogs were fed a mixture of commercial and home‐cooked food, 49% of dogs were fed milk as a separate meal in addition to their normal diet and 57% of dogs received dietary supplements. Dogs consuming commercial food for more than half their intake were no less likely ( = 0.75) to receive dietary supplements than dogs fed homemade food for more than half their diet. This study provides some basic information regarding the feeding practices and demographics of the owned dog population in one Sri Lankan city, Colombo, highlighting some areas of concern. homemade diets, nutrition, Sri Lanka
    Laura Craighead, William Gilbert, Dynatra Subasinghe, Barbara Häslerab (2015). Reconciling surveillance systems with limited resources: an evaluation of passive surveillance for rabies in an endemic setting
    View abstract View full publication
    Surveillance systems for rabies in endemic regions are often subject to severe constraints in terms of resources. The World Organisation for Animal Health (OIE) and the World Health Organisation (WHO) propose the use of an active surveillance system to substantiate claims of disease freedom, including rabies. However, many countries do not have the resources to establish active surveillance systems for rabies and the testing of dead dogs poses logistical challenges. This paper explores the potential of using a scenario tree model parameterised with data collected via questionnaires and interviews to estimate the sensitivity of passive surveillance, assessing its potential as a viable low-cost alternative to active surveillance systems. The results of this explorative study illustrated that given a large enough sample size, in this case the entire population of Colombo City, the sensitivity of passive surveillance can be 100% even at a low disease prevalence (0.1%), despite the low sensitivity of individual surveillance components (mean values in the range 4.077 × 10−5 − 1.834 × 10−3 at 1% prevalence). In addition, logistic regression was used to identify factors associated with increased recognition of rabies in dogs and reporting of rabies suspect dogs. Increased recognition was observed amongst dog owners (OR 3.8 (CI, 1.3–10.8)), people previously bitten by dogs (OR 5.9 (CI, 2.2–15.9)) and people who believed they had seen suspect dogs in the past (OR 4.7 (CI, 1.8–12.9)). Increased likelihood of reporting suspect dogs was observed amongst dog owners (OR 5.3 (CI, 1.1–25)). Further work is required to validate the data collection tool and the assumptions made in the model with respect to sample size in order to develop a robust methodology for evaluating passive rabies surveillance.