Browsing by Author "Genesis, Yengoh"
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Item Analyzing the Relationship Between Objective–Subjective Health Status and Public Perception of Climate Change as AaHuman Health Risk in Coastal Tanzania(Taylor & Francis, 2015-01) Armah, Frederick A.; Luginaah, Isaac; Genesis, Yengoh; Hambati, Herbert; Chuenpagdee, Ratana; Campbell, GwynClimate change is considered as the biggest threat to human health in the 21st century. Sub-Saharan Africa, which is the most-at-risk region of the world, is estimated to have a disproportionately large share of the burden of climate change-induced environmental and human health risks. To develop effective adaptations to protect public health, it is essential to consider how individuals perceive and understand the risks, and how they might be willing to change their behaviors in response to them. Using a cross-sectional survey of 1253 individuals in coastal Tanzania we analyzed the relationship between subjective health status (self-reported health) and objective health status on the one hand and perceived health risks of climate change. Generally, higher subjective health status was associated with lower scores on perceived health risks of climate change. Concerning objective health status, the results were varied. Individuals who affirmed that they had been previously diagnosed with hepatitis, skin conditions, or tuberculosis had lower scores on perceived health risks of climate change, unlike their counterparts who affirmed that they had been previously diagnosed with malaria in the past 12 months or had been diagnosed with HIV/AIDS. These relationships persist even when biosocial and sociocultural attributes are taken into consideration. The results underscore the complex ways in which objective and subjective health interact with both biosocial and sociocultural factors to shape perceived health risks of climate change. Do you want to read the rest of this publication?Access full-textItem Historical Perspective and Risk of Multiple Neglected Tropical Diseases in Coastal Tanzania: Compositional and Contextual Determinants of Disease Risk(Taylor & Francis, 2015-04) Armah, Frederick A.; Genesis, Yengoh; Luginaah, Isaac; Chuenpagdee, Ratana; Hambati, Herbert; Campbell, GwynThe impacts of climate change are likely to exacerbate many problems that coastal areas already face. In this study, we used multinomial logistic regression to examine human perception of climate change based on a cross-sectional survey of 1253 individuals in coastal regions of Tanzania. This was complemented with time series analysis of 50-year meteorological data. The results indicate that self-rated ability to handle work pressure, self-rated ability to handle personal pressure and unexpected difficulties, age, region and educational status were significant predictors of perceived temperature change unlike ethnicity and gender. A disproportionately large percentage of respondents of all ages indicated that temperature was getting hotter between the past 10 and 30 years. This observation was supported by the time series analysis. Although respondents also alluded to changes in rainfall patterns in the past 10–30 years, time series analysis of rainfall revealed a different scenario except for Mtwara region of Tanzania. Because there is agreement between respondents' perceptions of temperature and available scientific climatic evidence over the 50-year period, this study argues that when meteorological records are incomplete or unavailable, local perceptions of climatic changes can be used to complement scientific climatic evidence. Based on the spatial differentials in climate change perception observed in this study, there is opportunity for a more locally oriented adaptation dimension to climate policy integration, which has hitherto been underserved by both academics and policymakers.Item Monitored Versus Experience-Based Perceptions of Environmental Change: Evidence From Coastal Tanzania(Taylor & Francis, 2015-04) Armah, Frederick A.; Genesis, Yengoh; Luginaah, Isaac; Chuenpagdee, Ratana; Hambati, Herbert; Campbell, GwynThe impacts of climate change are likely to exacerbate many problems that coastal areas already face. In this study, we used multinomial logistic regression to examine human perception of climate change based on a cross-sectional survey of 1253 individuals in coastal regions of Tanzania. This was complemented with time series analysis of 50-year meteorological data. The results indicate that self-rated ability to handle work pressure, self-rated ability to handle personal pressure and unexpected difficulties, age, region and educational status were significant predictors of perceived temperature change unlike ethnicity and gender. A disproportionately large percentage of respondents of all ages indicated that temperature was getting hotter between the past 10 and 30 years. This observation was supported by the time series analysis. Although respondents also alluded to changes in rainfall patterns in the past 10–30 years, time series analysis of rainfall revealed a different scenario except for Mtwara region of Tanzania. Because there is agreement between respondents' perceptions of temperature and available scientific climatic evidence over the 50-year period, this study argues that when meteorological records are incomplete or unavailable, local perceptions of climatic changes can be used to complement scientific climatic evidence. Based on the spatial differentials in climate change perception observed in this study, there is opportunity for a more locally oriented adaptation dimension to climate policy integration, which has hitherto been underserved by both academics and policymakers.