Muhammad Fathi Marzuki

Small-scale business owners are among those who were very affected when the COVID-19 pandemic hit the country. This group supports their families solely through daily sales profits. However, when the country began implementing the Movement Control Order (MCO) from March 2020 to May 2020, it was difficult for this group to survive. Some of them were unable to do business at all, while the majority experienced a significant decline in sales. This study aims to measure the ability of small-scale business owners to survive before and after the COVID-19 period. GIS software (ArcMap 10.4.1) was used to map the ability of small-scale business owners to survive before and after the pandemic. Data were obtained through face-to-face questionnaires conducted throughout the state of Kedah. Findings indicated that several districts have successfully managed the pandemic for economic survival. This was achieved through a well-collaborated effort by the government and NGOs to strengthen certain aspects of these small-scale business and revive their growth. Future work should focus on studying the actions taken by successful business owners in coping with the pandemic environment.

Dengue is a major mosquito-borne disease in many tropical and sub-tropical countries worldwide, with entomological surveillance and control activities as the key management approaches. This study aimed to explore the spatial dispersal of the vector Aedes albopictus, captured by the modified sticky ovitrap (MSO) in residential areas with low-rise buildings in Selangor, Malaysia. Distribution maps were created and shown as temporally distinguished classes based on hotspot analysis by Getis-Ord; spatial autocorrelation assessed by semivariograms using the exponential Kernel function; and universal Kriging showing areas with estimated high and low vector densities. Distribution, hotspot and interpolated maps were analysed based on the total number of mosquitoes by month and week. All maps in the present study were generated and visualised in ArcMap. Spatial autocorrelation of Ae. albopictus based on the monthly occurrence of Ae. albopictus was found in March, April, October, November and December 2018, and when based on the weekly numbers, in weeks 1, 2, 3, 5, 7, 12, 14, 25, 26, 27, 31, 33, 42, 49 and 52. Semivariograms, based on the monthly and weekly numbers of Ae. albopictus, indicated spatial autocorrelation of the species extending between 50 and 70 m. The mosquito density maps reported in this study may provide beneficial information to facilitate implementation of more efficient entomological control activities.