Climate change is undeniably the greatest issue facing our society. Around the globe,
increasingly unpredictable weather patterns and extreme weather events are
observed, causing considerable risks to human lives, properties and health safety and
also on the natural ecosystem. The magnitude and impacts of climate change are
growing, and particularly in Malaysia, studies show increases in temperature and
changes in rainfall regimes. Such changes have profound implications, especially for
coastal communities. Since knowledge and perceptions of the public on climate change
could affect the success of implemented adaptation and mitigation options, it is
essential to conduct assessments to gather such information. A public awareness and
perception study was conducted at Sabak and Tanjung Karang, two coastal
communities which were affected by changes in sea level and flooding incidences. The
knowledge level and perceptions of climate change among respondents were assessed
covering areas such as level of awareness of the respondents, their perceptions of
climate change issues, their sentiments on climate change and adaptation measures,
their socio-economic activity and the effect on their lives. Results show that majority
of respondents were aware of climate change issues and challenges. High levels of
concern about climate change were expressed with the majority were worried and
uncertain about the climate change impact and hoped for government measures.
Almost half of respondents cited significant damage to their properties and reduction
in income generation. Overall, the results of the present study gave insights of the
affected parties on perceptions and awareness pertaining to climate change, which
could potentially be used to promote greater awareness of climate change matters and
to gauge the public response to related policies and strategies.
Dengue fever is an endemic disease in many tropical and subtropical regions. In
Malaysia, it is the leading public health challenge despite the extensive intervention
programs by the related authorities. Distribution of dengue cases in Malaysia varies
according to states and districts where cases are more distinct in urban and suburban
areas. Preparedness strategies of dengue cases could be more successful with some
comprehensive and technical analysis on disease incidences. Hence, the present study
analyses dengue cases using mathematical modelling in the state of Penang, one of the
more urbanised state. In particular, two time series models are fitted to the dengue
data from the region in order to identify the mathematical model that best describe
the data. Results show that both proposed models are able to represent the cases
rather well; however numerical inspection revealed that Double Exponential
Smoothing method is the better choice. Subsequently, the identified model is used to
make forecasting on the number of expected cases. Results show that dengue cases in
Penang are expected to increase gradually.