Investigation of diel activity of Culicoides biting midges (Diptera: Ceratopogonidae) in the United Kingdom by using a vehicle-mounted trap.

Truck trap collections of Culicoides biting midges (Diptera: Ceratopogonidae) were made during 2 yr of sampling from 2008 to 2009 at a farm site in southern England. Samples were collected from 810 sample runs carried out over 52 d and contained 7,095 Culicoides of which more than half (50.3%) were identified as Culicoides obsoletus Meigen by using a multiplex polymerase chain reaction assay. Other commonly encountered species included Culicoides scoticus Downes & Kettle (14.7% of total Culicoides caught), Culicoides dewulfi Goetghebuer (3.7%), and Culicoides chiopterus Meigen (4.2%). The activity rates of these species were examined with regard to both meteorological factors (light intensity, humidity, temperature, and wind speed and direction) and other potentially contributing variables (lunar phase and brightness, sunset time, and year) by using generalized linear models. All the species examined were collected in greater abundance at sunset, although the relationship between underlying light intensity and numbers was less pronounced in C. dewulfi and C. chiopterus. Collections of Culicoides were reduced at temperatures above 21 degrees C and were inversely related to wind speed. Variation between species was recorded, however, in response to wind direction: C. dewulfi and C. chiopterus were associated with prevailing winds passing through fields containing livestock, whereas C. obsoletus and C. scoticus demonstrated no such relationship. A male:female ratio of 1:3.56 was observed in catches, and male populations were protandrous. These results are discussed with reference both to the ecology of these species and methods currently used to predict adult Culicoides movement and abundance in Europe.

Establishment of Wolbachia Strain wAlbB in Malaysian Populations of Aedes aegypti for Dengue Control.

Dengue has enormous health impacts globally. A novel approach to decrease dengue incidence involves the introduction of Wolbachia endosymbionts that block dengue virus transmission into populations of the primary vector mosquito, Aedes aegypti. The wMel Wolbachia strain has previously been trialed in open releases of Ae. aegypti; however, the wAlbB strain has been shown to maintain higher density than wMel at high larval rearing temperatures. Releases of Ae. aegypti mosquitoes carrying wAlbB were carried out in 6 diverse sites in greater Kuala Lumpur, Malaysia, with high endemic dengue transmission. The strain was successfully established and maintained at very high population frequency at some sites or persisted with additional releases following fluctuations at other sites. Based on passive case monitoring, reduced human dengue incidence was observed in the release sites when compared to control sites. The wAlbB strain of Wolbachia provides a promising option as a tool for dengue control, particularly in very hot climates.

How will climate change pathways and mitigation options alter incidence of vector-borne diseases? A framework for leishmaniasis in South and Meso-America.

The enormous global burden of vector-borne diseases disproportionately affects poor people in tropical, developing countries. Changes in vector-borne disease impacts are often linked to human modification of ecosystems as well as climate change. For tropical ecosystems, the health impacts of future environmental and developmental policy depend on how vector-borne disease risks trade off against other ecosystem services across heterogeneous landscapes. By linking future socio-economic and climate change pathways to dynamic land use models, this study is amongst the first to analyse and project impacts of both land use and climate change on continental-scale patterns in vector-borne diseases. Models were developed for cutaneous and visceral leishmaniasis in the Americas-ecologically complex sand fly borne infections linked to tropical forests and diverse wild and domestic mammal hosts. Both diseases were hypothesised to increase with available interface habitat between forest and agricultural or domestic habitats and with mammal biodiversity. However, landscape edge metrics were not important as predictors of leishmaniasis. Models including mammal richness were similar in accuracy and predicted disease extent to models containing only climate and land use predictors. Overall, climatic factors explained 80% and land use factors only 20% of the variance in past disease patterns. Both diseases, but especially cutaneous leishmaniasis, were associated with low seasonality in temperature and precipitation. Since such seasonality increases under future climate change, particularly under strong climate forcing, both diseases were predicted to contract in geographical extent to 2050, with cutaneous leishmaniasis contracting by between 35% and 50%. Whilst visceral leishmaniasis contracted slightly more under strong than weak management for carbon, biodiversity and ecosystem services, future cutaneous leishmaniasis extent was relatively insensitive to future alternative socio-economic pathways. Models parameterised at narrower geographical scales may be more sensitive to land use pattern and project more substantial changes in disease extent under future alternative socio-economic pathways.