Introduction: The trend of several mosquito-borne diseases in Malaysia has shown an increasing pattern over the past few years despite close monitoring and continuous control initiatives by public health authority. The objective of this study is to determine the spatial and temporal epidemiology of mosquito-borne disease in Terengganu from the year 2009 to 2018. Terengganu has been selected because it is geographically unique and experiences two monsoon seasons per year. Methods: Weekly surveillance data of mosquito-borne diseases which include dengue fever, malaria, filariasis, Japanese Encephalitis (JE) and chikungunya from 2009 to 2018 were collected from the Terengganu State Health Department. The variables included in the dataset mainly comprises of disease onset, diagnosis, case category, area (district) and site of onset. The data has been monitored spatial and temporal in which to explore the distribution pattern of the disease. The annual average for each type of mosquito-borne disease was determined using time-series and is further analysed by using geographical information system (GIS) tools to form spatial statistical analysis. Results: Results indicate that the temporal distribution of the mosquito-borne disease in Terengganu increases slightly despite a fluctuating pattern from the year 2009 to 2018 and there are between each type of mosquito-borne disease. Spatial analysis showed different stratification between seasons as well as the areas that are more susceptible to each disease. Conclusion: The results obtained in this present study through spatial and temporal analysis revealed that mosquito-borne diseases show a dynamic pattern in distribution. It can be concluded that the occurrence of the diseases depends on the geographical area and the weather within the region. This study provides public health authorities with a comprehensive assessment that will be useful for surveillance and monitoring, as well as for predicting and managing mosquito-borne disease outbreaks effectively

Introduction: Aedes albopictus is known for its aggressiveness towards human and recently expanded to more countries outside the native regions. Thus, the demographic parameters of Aedes albopictus are important to determine the characteristics of this species mosquitoes in terms of the reproduction rates and dispersal distance. Materials and Methods: This study, was performed using a Shah Alam strain of Aedes albopictus originally collected in twenty district areas of the central zone of Shah Alam. This research applies field work-study with a cross-sectional design to investigate the demographic parameters of Aedes albopictus. The demographic evaluation of Aedes albopictus was conducted under the control environment in insectarium. Results: Investigation on the demographic parameters of Aedes albopictus clearly showed that there is a significance different observed in the total number of mosquito eggs produced in both high and low incidence rate IR areas (p=0.03). In contrast, other parameters showed insignificant value between high and low IR areas. Conclusion: The key to control the mosquito vectors population is by tracking the vector’s life cycle including its survival. Therefore, the outcome of this study may provide as a baseline to estimate the dengue outbreak in the current episystem.

Introduction: Dengue fever (DF) is a prominent vector-borne disease spread by mosquitos of the Aedes genus (mainly Aedes aegypti, and even Aedes albopictus), a tropical regions vector. The purpose of this research was to establish the spatial and temporal distribution patterns of DF cases in the study area between 2010 and 2020. Methods: The correlation between the Kuantan sub-district and dengue haemorrhagic fever (DHF) incidence is examined in this study using spatial analysis. The correlation was calculated using spatial autocorrelation, Moran’s Index (Moran’s I) and Spatial Autocorrelation of Local Indicators (LISA). Moran’s index is a worldwide indicator used to determine whether or not disease transmission has geographical autocorrelation in disease transmission. Results: The results indicated that between 2011 and 2020, the monthly Moran’s I of dengue transmission in Kuantan was estimated to range between -0.685 and 0.338. The lowest reading of Moran’s index was -0.685 in May 2015, whereas the highest reading was 0.338 in May 2019. This reflects the strong spatial autocorrelation of dengue transmission in Kuantan over the last decade. The LISA analysis revealed significant spatial autocorrelations on DF cases in Kuantan for three (3) out of six (6) sub-districts (50%) with a significance level of 2%. This suggests that there are spatial autocorrelations in Kuala Kuantan, Beserah and Penor sub-district that influence the distribution of DHF transmission. Conclusion: The results reveal that the spatial autocorrelation analysis method can be a tool for relevant researchers to understand the pattern of DF transmission study and establish the direction for further study.

Introduction: Poor waste management led to mosquito breeding grounds. Previous research found that construction sites are the mosquito breeding area thus it’s important to understand how construction sites affect mosquito breeding. Methods: This study utilized a prospective study to determine the characteristic of breeding preference in residential construction sites. On-field breeding preference survey was conduct in the selected project site in 12 weeks (1st October 2021 until 31st December 2021). Wet container inspection was carried out according to types of the residential construction building and progress of the site. All possible wet materials and containers was inspected and record accordingly in the form during the surveillance. Results: Result shows that the most preferred containers found was building floor (41.68%), others such as planter box that use for landscape purpose, drainage system, building mould and lift wells. The results of the research indicate that prospective containers with water and breeding sites at high rise construction sites were found to be more than those at low rise construction sites. Conclusion: Overall, substantially fewer water containers were discovered in low rise projects compared to high rise projects. Construction management need encourage all the workers to do best management practice such as proper waste disposal and removal of the water and possible wet container and conduct awareness among the workers.

Introduction: Ozone (O3 ) is a significant component of photochemical smog as a typical secondary which is formed via nitrogen oxide photochemical interactions with volatile organic compounds (VOCs). This research discerns the complex influence of meteorological parameters and air pollutants influencing O3 concentrations. Methods: Data were acquired from 1 January 2018 until 31 December 2020 that including ozone (O3 ), nitrogen oxide (NOx), nitric oxide (NO), sulphur dioxide (SO2 ), nitrogen dioxide (NO2 ), carbon monoxide (CO), particulate matter (PM10, PM2.5), wind speed, solar radiation, temperature, and relative humidity (RH). Data were analysed using descriptive statistics in terms of line graphs. Results: The results demonstrate that the O3 concentration peaked around 14:00 hours and dropped at night (20:00 hours) owing to the lack of sunshine and redox processes. Conclusion: In conclusion, ozone precursors played an important role in ozone formation and the findings of this research are valuable for policymakers and other interested parties