Assessment of arbovirus vector infection rates using variable size pooling

Pool testing of vector samples for arboviruses is widely used in surveillance programmes. The proportion of infected mosquitoes (Diptera: Culicidae) is often estimated from the minimum infection rate (MIR), based on the assumption of only one infected mosquito per positive pool. This assumption beco...

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Bibliographic Details
Published in:Medical and veterinary entomology 2004-06, Vol.18 (2), p.200-204
Main Authors: Gu, W, Lampman, R, Novak, R.J
Format: Article
Language:English
Subjects:
Animals
Arbovirus
arbovirus vector
arboviruses
Chicago
Chicago, Illinois
Computer Simulation
Culex
Culex - virology
Culex pipiens
Culex restuans
Culicidae
Cx. restuans
Diptera
disease surveillance
estimation
Freshwater
incidence
infection
insect vectors
Likelihood Functions
maximum likelihood estimation
minimum infection rate
mosquito pools
pool size
pool testing
research methods
Reverse Transcriptase Polymerase Chain Reaction
RNA, Viral - chemistry
RNA, Viral - genetics
simulation models
statistical analysis
U.S.A
variable size pooling
viral diseases of animals and humans
West Nile Fever - virology
West Nile virus
West Nile virus - genetics
West Nile virus - growth & development
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Summary:Pool testing of vector samples for arboviruses is widely used in surveillance programmes. The proportion of infected mosquitoes (Diptera: Culicidae) is often estimated from the minimum infection rate (MIR), based on the assumption of only one infected mosquito per positive pool. This assumption becomes problematic when pool size is large and/or infection rate is high. By relaxing this constraint, maximum likelihood estimation (MLE) is more useful for a wide range of infection levels that may be encountered in the field. We demonstrate the difference between these two estimation approaches using West Nile virus (WNV) surveillance data from vectors collected by gravid traps in Chicago during 2002. MLE of infection rates of Culex mosquitoes was as high as 60 per 1000 at the peak of transmission in August, whereas MIR was less than 30 per 1000. More importantly, we demonstrate roles of various pooling strategies for better estimation of infection rates based on simulation studies with hypothetical mosquito samples of 18 pools. Variable size pooling (with a serial pool sizes of 5, 10, 20, 30, 40 and 50 individuals) performed consistently better than a constant size pooling of 50 individuals. We conclude that variable pool size coupled with MLE is critical for accurate estimates of mosquito infection rates in WNV epidemic seasons.
ISSN:0269-283X
1365-2915
DOI:10.1111/j.0269-283X.2004.00482.x