Abstract
Introduction Ovitrap surveillance is a monitoring tool to measure the abundance of Aedes mosquitoes. This method is suitable as a long term surveillance to provide information about population dynamics and the spatiotemporal distribution of mosquito vectors for improving dengue prevention and control programs. The study was conducted to assess the abundance of dengue vector and its relationship with weather variables at the international Point of Entry (POE), where the study locality exposed the continuous threat of the vector borne-diseases and spread of vectors. Consequently, this study can create a baseline data for a more comprehensive dengue control program by using a ovitrap as a monitoring tool. Methods A retrospective cross-sectional study was conducted from January 2019 to July 2020 at the Labuan International Ferry Terminal and up to 200 metres perimeter around them. A minimum of 25 ovitraps were randomly placed continuously for a maximum of 7 days in the field. Ovitrap index was calculated by a percentage of positive ovitrap over a total of ovitrap installed. Monthly humidity level, monthly rainfall and the monthly minimum and maximum temperature were obtained from the Department of Meteorology, Labuan.The relationship between ovitrap index and each of weather variables were then subjected to spearman correlation coefficient by using SPSS statistical packages. Results Out of 2913 ovitrap deployed from January 2019 to July 2020, 636 (21.83%) ovitraps were identified positive with Aedes larvae. Ovitrap index was recorded highest in November 2019 with a percentage of 56.07% and a mean of 24.05%. A rainfall amount showed the highest amount in December 2019 which was 660.8 mm with a mean of 694.0 mm in a current study.A percentage of humidity showed the highest amount in July 2020 with 87.3% with a mean of 81.09%, meanwhile the mean maximum temperature was 31.66°C and for minimum temperature was 25.23°C. The data analyses showed a significant positive correlation between the ovitrap index and the rainfall (r=0.78
Links
- https://apcph.cphm.my/wp-content/uploads/2022/07/APCPH2022-O-45.pdf
- https://apcph.cphm.my/events/oral-session-6-ballroom-C/
BibTeX (Download)
@proceedings{APCPH2022-O-45,
title = {Rainy Days and How They Bring Friends: A Relationship Of OVITRAP Index and Weather Variables at A Point of Entry of Federal Territory of Labuan},
author = {Norsyarizan Jamil and Nur Azyyati Amalina Amran and Ismuni Bohari and Mohd Zaki Ab Hamid},
url = {https://apcph.cphm.my/wp-content/uploads/2022/07/APCPH2022-O-45.pdf
https://apcph.cphm.my/events/oral-session-6-ballroom-C/},
year = {2022},
date = {2022-08-01},
urldate = {2022-08-02},
issue = {7},
abstract = {Introduction Ovitrap surveillance is a monitoring tool to measure the abundance of Aedes mosquitoes. This method is suitable as a long term surveillance to provide information about population dynamics and the spatiotemporal distribution of mosquito vectors for improving dengue prevention and control programs. The study was conducted to assess the abundance of dengue vector and its relationship with weather variables at the international Point of Entry (POE), where the study locality exposed the continuous threat of the vector borne-diseases and spread of vectors. Consequently, this study can create a baseline data for a more comprehensive dengue control program by using a ovitrap as a monitoring tool. Methods A retrospective cross-sectional study was conducted from January 2019 to July 2020 at the Labuan International Ferry Terminal and up to 200 metres perimeter around them. A minimum of 25 ovitraps were randomly placed continuously for a maximum of 7 days in the field. Ovitrap index was calculated by a percentage of positive ovitrap over a total of ovitrap installed. Monthly humidity level, monthly rainfall and the monthly minimum and maximum temperature were obtained from the Department of Meteorology, Labuan.The relationship between ovitrap index and each of weather variables were then subjected to spearman correlation coefficient by using SPSS statistical packages. Results Out of 2913 ovitrap deployed from January 2019 to July 2020, 636 (21.83%) ovitraps were identified positive with Aedes larvae. Ovitrap index was recorded highest in November 2019 with a percentage of 56.07% and a mean of 24.05%. A rainfall amount showed the highest amount in December 2019 which was 660.8 mm with a mean of 694.0 mm in a current study.A percentage of humidity showed the highest amount in July 2020 with 87.3% with a mean of 81.09%, meanwhile the mean maximum temperature was 31.66°C and for minimum temperature was 25.23°C. The data analyses showed a significant positive correlation between the ovitrap index and the rainfall (r=0.78},
howpublished = {published online at https://apcph.cphm.my},
note = {Type: ORAL PRESENTATION; Organisation:},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}