Literature DB >> 33647123

Context-Dependent Accuracy of the BG-Counter Remote Mosquito Surveillance Device in North Carolina.

Corey A Day1, Stephanie L Richards2, Michael H Reiskind3, Michael S Doyle4, Brian D Byrd1.   

Abstract

There is a clear need for improved vector surveillance approaches that are affordable, labor efficient, and safer than traditional methods. The BG-Counter (Biogents USA, Moorefield, WV) is a device for remotely monitoring mosquito activity in combination with the BG-Sentinel (Biogents USA), a widely used trap for the collection of host-seeking mosquitoes. The BG-Counter uses a wireless connection to provide real-time counts of mosquitoes captured by the BG-Sentinel, allowing users to remotely monitor mosquito populations. This study tested the effectiveness of the BG-Counter in 5 North Carolina counties. A total of 96 trap-days resulted in the collection of >45,000 individual mosquitoes representing 35 species. Aedes albopictus was the most common species collected in all counties, except for New Hanover County where Culex nigripalpus was the most common. The mean daily accuracy ranged from 80.1% (New Hanover County) to 9.4% (Jackson County). There was a significant linear relationship between the actual number of mosquitoes collected and the device counts at all sites except Jackson County, the site with the lowest relative mosquito abundance compared with nontarget organisms. A linear regression of daily BG-Counter accuracy and the daily proportion of mosquitoes to the total number of arthropods collected revealed a significant positive linear relationship, supporting the premise that the BG-Counter is less effective when the relative abundance of mosquitoes is low. Mosquito surveillance programs using the BG-Counter should recognize its context-dependent accuracy and routinely evaluate the accuracy of the device based on local conditions.
Copyright © 2020 by The American Mosquito Control Association, Inc.

Entities:  

Keywords:  zzm321990 Aedes albopictuszzm321990 ; zzm321990 Culex nigripalpuszzm321990 ; BG-Sentinel

Mesh:

Year:  2020        PMID: 33647123     DOI: 10.2987/19-6903.1

Source DB:  PubMed          Journal:  J Am Mosq Control Assoc        ISSN: 8756-971X            Impact factor:   0.917


  2 in total

1.  A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy.

Authors:  María I González-Pérez; Bastian Faulhaber; Núria Busquets; Sandra Talavera; Mark Williams; Josep Brosa; Carles Aranda; Nuria Pujol; Marta Verdún; Pancraç Villalonga; Joao Encarnação
Journal:  Parasit Vectors       Date:  2022-06-06       Impact factor: 4.047

2.  Development and evaluation of an efficient and real-time monitoring system for the vector mosquitoes, Aedes albopictus and Culex quinquefasciatus.

Authors:  Zetian Lai; Jing Wu; Xiaolin Xiao; Lihua Xie; Tong Liu; Jingni Zhou; Ye Xu; Yiquan Cai; Feng Lin; Bin Li; Lu Gan; Anthony A James; Xiao-Guang Chen
Journal:  PLoS Negl Trop Dis       Date:  2022-09-08
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.