Time series analysis and mortality model of dog bite victims presented for treatment at a referral clinic for rabies exposure in Monrovia, Liberia, 2010-2013

Spat Spatiotemporal Epidemiol. 2017 Aug:22:1-13. doi: 10.1016/j.sste.2017.04.003. Epub 2017 May 25.

Abstract

We developed time trend model, determined treatment outcome and estimated annual human deaths among dog bite victims (DBVs) from 2010 to 2013 in Monrovia, Liberia. Data obtained from clinic records included victim's age, gender and site of bite marks, site name of residence of rabies-exposed patients, promptness of care sought, initial treatment and post-exposure-prophylaxis (PEP) compliance. We computed DBV time-trend plot, seasonal index and year 2014 case forecast. Associated annual human death (AHD) was estimated using a standardized decision tree model. Of the 775 DBVs enlisted, care seeking time was within 24h of injury in 328 (42.32%) DBVs. Victim's residential location, site of bite mark, and time dependent variables were significantly associated with treatment outcome (p< 0.05). The equation X^t=28.278-0.365t models the trend of DBVs. The high (n=705, 90.97%) defaulted PEP and average 155 AHD from rabies implied urgent need for policy formulation on national programme for rabies prevention in Liberia.

Keywords: Dog bite; Forecast; Rabies; Treatment outcome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Animals
  • Bites and Stings / complications
  • Bites and Stings / epidemiology*
  • Bites and Stings / mortality
  • Bites and Stings / virology
  • Child
  • Child, Preschool
  • Decision Trees
  • Dogs
  • Female
  • Humans
  • Infant
  • Liberia / epidemiology
  • Male
  • Middle Aged
  • Models, Statistical
  • Post-Exposure Prophylaxis / statistics & numerical data
  • Rabies / epidemiology*
  • Rabies / etiology
  • Rabies / mortality
  • Rabies / prevention & control
  • Referral and Consultation / statistics & numerical data
  • Retrospective Studies
  • Seasons
  • Time Factors
  • Young Adult