Estimation and Comparison of Mosquito Survival Rates with Release-Recapture-Removal Data

Abstract

Methods for the estimation and comparison of survival rates are considered when data arises from a release of individuals followed by a sequence of recaptures, with recaptured individuals removed from the population. It is shown that commonly used methods based on linear regression of the log of recapture numbers versus time can lead to substantial errors if individuals are removed from the population. A general nonlinear regression approach is proposed combined with bootstrap techniques for obtaining confidence intervals and tests of hypotheses. Simulations demonstrate that these techniques perform well using data from an Aedes aegypit L. mark-release-recapture study in Thailand.

Delayed mortality effects cut the malaria transmission potential of insecticide-resistant mosquitoes

“…Ideally, the next step would be to validate these findings in wild populations and assess their relevance to operational control. There are currently several constraints to testing this hypothesis in the field; namely, difficulties in aging and determining the history of insecticide exposure of wild mosquitoes and markrecapture methods for survival estimation have poor efficiency (39). While technology develops, alternatively, this phenomenon could be investigated under semifield conditions (40) where wild mosquitoes can be exposed to LLINs under realistic but contained conditions.…”

Calculating the survival rate and estimated population density of gravid Aedes aegypti (Diptera, Culicidae) in Rio de Janeiro, Brazil

“…The probability of daily survival was estimated by using two models: the exponential 20 and nonlinear 21 . Only field data were adjusted to models, in relation to the 7-8 days before mosquito release.…”

“…aegypti, despite its two fundamental drawbacks: it assumes a priori that mosquito mortality is age-independent and it does not consider removal of individuals by the capturing methods. The nonlinear model allows for the correction of estimates caused by the removal of individuals 21 and can be written as:…”

Container productivity, daily survival rates and dispersal of Aedes aegypti mosquitoes in a high income dengue epidemic neighbourhood of Rio de Janeiro: presumed influence of differential urban structure on mosquito biology

“…The probability of daily survival (PDS) was estimated by fitting the exponential and nonlinear models to data using the R.2.8.0 (R Development Core Team 2008) software, despite some evidence that Ae. aegypti mortality varies with increasing age (Gillies 1961, Buonaccorsi et al 2003, Styer et al 2007. PDS values of the three cohorts released were compared by a two sample t-test (Zar 1999).…”