Submitted to: Journal of Medical Entomology
Publication Type: Peer reviewed journal
Publication Acceptance Date: 10/28/2009
Publication Date: 3/15/2010
Publication URL: hdl.handle.net/10113/41318
Citation: Kramer, M.H., Feldlaufer, M.F., Chauhan, K.R. 2010. Mosquito biting behavior: statistical power and sources of variation in toxicity and repelllent bioassays.. Journal of Medical Entomology. 47(2)199-204. Interpretive Summary: There is a need to develop new insecticides and repellents to protect people from mosquitoes and the diseases they may transmit. Numerous assay systems that do not rely on the use of human volunteers or animals have been developed to screen for potential insecticides and repellents. Mosquito responses in these in assay systems can often have large variation in mosquito response, thereby making results difficult to interpret. We have statistically analyzed over three years of information collected in our assay system and offer conclusions that should be helpful in interpreting the results of similar assays. This information will be useful to other scientists in government, academia and industry that are interested in developing new toxicants and repellents using information generated from laboratory assay systems.
Technical Abstract: Compounds thought to be effective against mosquitoes as either insecticides or repellents have recently been shown to contain properties of both, or possess other behavior modifying actions. Prompted by these reports, we conducted posterior analyses of our data, collected as part of a long-term mosquito toxicant/repellent screening program, to examine interrelated statistical issues inherent in our bioassay system. Using a modified K&D module, over 25,000 adult Aedes aegypti females exposed to either alphacypermethrin or DEET were compared to mosquitoes exposed to untreated (solvent) controls for toxicity and biting (alphacypermethrin), or biting (DEET). Our analyses indicated that (1) based on statistical power, our bioassay system is better suited to determine a compound’s toxicity than its repellent qualities; (2) day-to-day variability is large and needs to be accommodated in analyses; there are other, potentially even larger sources of variability (e.g. mosquito heterogeneity), which, taken together, invalidate statistical tests that are based on the assumption of binomially distributed data (e.g. chi-square tests); and (3) unlike biting mosquitoes exposed to DEET, the proportion of biting mosquitoes exposed to alphacypermethrin were unrelated to the proportion of biting controls, even after adjusting for daily variation in toxicity. Thus, there is a clear behavioral indicator in this bioassay system that the repellency of DEET (a presumed repellent) differs in a fundamental way from that of alphacypermethrin (a presumed toxicant and may allow the differentiation between classes of compounds based on biting behavior alone).