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Abstract

Background

Dengue remains a serious public health problem in Southeast Asia and has increased 37-fold in Malaysia compared to decades ago. New strategies are urgently needed for early detection and control of dengue epidemics.

Methods

We conducted a two year study in a high human density dengue-endemic urban area in Selangor, where Gravid Ovipositing Sticky (GOS) traps were set up to capture adult Aedes spp. mosquitoes. All Aedes mosquitoes were tested using the NS1 dengue antigen test kit. All dengue cases from the study site notified to the State Health Department were recorded. Weekly microclimatic temperature, relative humidity (RH) and rainfall were monitored.

Results

Aedes aegypti was the predominant mosquito (95.6%) caught in GOS traps and 23% (43/187 pools of 5 mosquitoes each) were found to be positive for dengue using the NS1 antigen kit. Confirmed cases of dengue were observed with a lag of one week after positive Ae. aegypti were detected. Aedes aegypti density as analysed by distributed lag non-linear models, will increase lag of 2-3 weeks for temperature increase from 28 to 30 °C; and lag of three weeks for increased rainfall.

Conclusion

Proactive strategy is needed for dengue vector surveillance programme. One method would be to use the GOS trap which is simple to setup, cost effective (below USD 1 per trap) and environmental friendly (i.e. use recyclable plastic materials) to capture Ae. aegypti followed by a rapid method of detecting of dengue virus using the NS1 dengue antigen kit. Control measures should be initiated when positive mosquitoes are detected.

Details

Title
A new paradigm for Aedes spp. surveillance using gravid ovipositing sticky trap and NS1 antigen test kit
Author
Lau, Sai Ming; Chua, Tock H; Wan-Yussof Sulaiman; Sylvia, Joanne; Yvonne Ai-Lian Lim; Shamala Devi Sekaran; Venugopalan, Karuthan Chinnalan; Vythilingam, Indra
Publication year
2017
Publication date
2017
Publisher
Springer Nature B.V.
e-ISSN
1756-3305
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1884811558
Copyright
Copyright BioMed Central 2017