Table 1.
Description of ovitraps and sticky traps used in study.
Fig 1.
Statistical thematic map of Melaka with case aggregation, entomology stations and weather principal station.
Fig 2.
Illustrates and summarizes complex data testing.
Table 2.
Johansen cointegration test results.
Table 3.
Cointegrating Vector Equilibrium.
Table 4.
Significant coefficients in VECM analysis.
Fig 3.
Four distinct panel of line graphs with case counts (dengue onsets), temperature (tem), ovitrap index (oi), and sticky ovitrap index (soi) readings on y -axis plotted against time in week from 0 up to 80 weeks (year from 2020 till 2022) on x axis, extracted from R.
Fig 4.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
Interaction between case equation and case variable shows positive coefficient at lag -3, -7, -8.
Fig 5.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
Interaction between case equation and SOI variable with negative coefficient at lag -3 and -4.
Fig 6.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
The interaction shows positive coefficient at lag -1.
Fig 7.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
The result shows negative coefficients on the OI variable at lags -1, -3, and -4 and positive coefficient at lag -9.
Fig 8.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
The interaction shows negative coefficient at lag -6.
Fig 9.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
Interaction between SOI equation and SOI variable with positive coefficient at lag -6 and -8.
Fig 10.
VECM output on short term dynamic where each lag denotes 2 weeks length of time.
The interaction shows negative coefficient at lag -1.
Fig 11.
Actual case count line graph from January 2020 to March 2023 and predicted case count line graph of dengue case plotted from January 2023 to March 2023, extracted from R.
Table 5.
Statistical metric values.