| || || Vatukela, Jese Rokalevulevu|
| || || The correlation of scabies and impetigo with climate change in Fiji, a case study of the Naitasiri Province|
Author:Vatukela, Jese Rokalevulevu
Institution: University of the South Pacific.
Subject: Climatic changes -- Health aspects -- Fiji -- Naitasiri Province, Scabies -- Fiji -- Naitasiri Province
Call No.: pac QC 903 .2 .F5 V38 2013
Copyright:20-40% of this thesis may be copied without the authors written permission
Abstract: Scabies and impetigo are often classified as nuisance diseases that have the potential to cause greater morbidity and even mortality depending on the complications of infections (Steer et al., 2009a). Several studies have suggested that predisposing factors that affect the distribution and determinants of scabies and impetigo include: socio-economic factors, overcrowding, poor hygiene practices, inadequate water supply and sanitation facilities, access to medical care, geographical locations and climate conditions. This research focuses on these aspects but with more emphasis on the effects of climate factors on the prevalence of scabies and impetigo. This research aims to produce a predictive warning model for scabies and impetigo for both medical areas through the collating and reviewing of medical and meteorological data. The province of Naitasiri was chosen as the study site with six sample sites (three in each medical area). Existing medical (prevalence of scabies and impetigo) and meteorological data from the years 2000-2010 were collated and reviewed for possible correlations. In addition, questionnaires were administered amongst mothers, guidance and primary caregivers to children below the age of five (5), with medical and relevant key stakeholders within the selected sites were also interviewed in order to determine and assess their levels of knowledge, attitude and practice towards scabies and impetigo. Most of the analysis indicated no correlations between scabies and climate factors; however there were weak correlations with relative humidity and rainfall levels. On the other hand impetigo had weak and strong correlations with minimum and maximum temperature, relative humidity and rainfall for both medical areas. This research could not establish a sufficient predictive warning model for Nabuobuco due to the insufficiency of the validity of the models produced; however a predictive warning model was established for Nausori using the negative binomial model. Climatic conditions such as cold, heat, light, sunshine and humidity are commonly known as factors that may affect the type and spread of skin diseases in communities (Banerjee, 1972). This research concludes that climatic factors such as rainfall, humidity and temperature may affect the distribution of impetigo and scabies cases; however other predisposing factors must be taken into consideration.