Determining dengue risk factors in Selangor, Malaysia using regression approach
Dengue has become a burden to the world as dengue infection now occurs in more countries compared to before 1990s. In Malaysia, Selangor records the highest number of dengue cases every year. This study is done to investigate the risk factors that cause dengue outbreaks in Selangor. Data on knowl...
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| Format: | Thesis |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/92743/1/FS%202021%2024%20-%20IR.pdf |
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| Summary: | Dengue has become a burden to the world as dengue infection now occurs in
more countries compared to before 1990s. In Malaysia, Selangor records the
highest number of dengue cases every year. This study is done to investigate
the risk factors that cause dengue outbreaks in Selangor. Data on knowledge,
attitude and practice (KAP) together with environmental conditions were
collected in hotspot and non-hotspot dengue area using questionnaires in 2015
and 2016. Data on weather in Selangor was obtained from the Malaysian
Meteorological Department, and data on population distribution was obtained
from the Department of Statistics Malaysia to compare with data on dengue
incidences obtained from Selangor State Health Department. KAP data on
communities living in hotspot and non-hotspot areas were investigated, and
differences in knowledge and attitude marks were significant at p-value of 0.003
and <0.001 by T-Test, respectively. Environmental cleanliness on both areas
was also examined and result shows hotspot areas were dirtier, with p-value of
<0.001. Data on weather, relative humidity, mean 24-hour temperature, rainfall
amount and number of rainy days were analyzed, and various correlation levels
were found between weather and dengue incidences in all districts. The effect of
population density on dengue was observed. District with highest population
density, Petaling recorded the highest dengue incidences in both years. Logistic
regression on all risk factors was done to produce the final model, which
concludes that environmental condition, human attitude, and population density
are the most probable risk factors that cause dengue transmission. The
qualitative observation was done to look at the condition of both areas, and it
confirmed that people in non-hotspot areas display better attitude and
cooperation towards taking care of their surroundings. This shows that hygienic
inspection and health education on dengue should be focused on hotspot areas
to reduce the risk of dengue transmission. |
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