Browsing by Author "Lowry J"
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- ItemPredictors of under Five Years Old Diarrhoeal Disease in Mataniko Informal Settlements in Solomon Islands(Canadian Center of Science and Education, 2021) Gali A; Mohammadnezhad M; Khan S; Lowry JBACKGROUND: Diarrhoea remains a serious health problem among children under five years (U5y) in the world. Though diarrhoea is a preventable disease, U5y are often at high risk to diarrhoea infection. OBJECTIVE: To determine the predictors of diarrhoeal disease among children U5y, in Mataniko informal settlements, in Honiara, Solomon Islands. METHODS: A prospective cross sectional study was conducted at three out of the six randomly selected Mataniko informal settlements situated along the Mataniko River corridor, in Honiara, Solomon Islands. Caregivers with children U5y were included in this study. A total of 205 caregivers being interviewed using a pre-tested survey questionnaire. Data were analyzed using descriptive statistics, followed by binary logistic regression to explore the relationship between the investigated variables. A p-value less than 0.05 was considered to be statistically significant. RESULTS: The results of this study showed that 45.9% of all caregivers had reported that their U5y children had suffered with at least one episode of diarrhoea within the last 2 weeks prior to the study. Age of children, number of U5y children per caregiver, and fortnightly income level below $1500 (SBD) were significantly associated with under-five diarrhoea (p<0.05). CONCLUSION: This study showed different factors which were associated with U5y diarrhoea in Solomon Islands. To address these exposures, relevant programmes and preventive strategies should be considered.
- ItemSpatiotemporal analysis of forest cover change and associated environmental challenges: a case study in the Central Highlands of Vietnam(2022-01-01) Tran DX; Tran TV; Pearson D; Myint SW; Lowry J; Nguyen TTSpatiotemporal regression combining Theil-Sen median trend and Man-Kendall tests was applied to MODIS time-series data to quantify the trend and rate of change to forest cover in the Central Highlands, Vietnam from 2001 to 2019. Several MODIS data products, including Percent Tree Cover (PTC), Evapotranspiration (ET), Land Surface Temperature (LST), and Gross Primary Productivity (GPP) were selected as indicators for forest cover and climate and carbon cycle patterns. Emerging hot spot analysis was applied to identify patterns of long-term deforestation. Spatial regression analysis using Geographically Weighted Regression (GWR) was performed to understand variations in the relationship between vegetation changes and trends in LST, ET, and GPP. Our analysis reveals that deforestation occurred significantly in the study area with a total decrease of 14.5% in PTC and a total of 7314 deforestation hot spots were identified. Results indicate that forest cover loss explains 72.9%, 67.7%, and 89.4% of the changes in ET, GPP, and LST, respectively, and the levels of influence are heterogenous across space and dependent on the types of deforestation hot spots. The approach introduced in our study can be performed worldwide to address complex research questions about environmental challenges that emerge from deforestation.