BackgroundSand fly saliva can drive the outcome of Leishmania infection in animal models, and salivary components have been postulated as vaccine candidates against leishmaniasis. In the sand fly Phlebotomus papatasi, natural sugar-sources modulate the activity of proteins involved in meal digestion, and possibly influence vectorial capacity. However, only a handful of studies have assessed the variability of salivary components in sand flies, focusing on the effects of environmental factors in natural habitats. In order to better understand such interactions, we compared the expression profiles of nine P. papatasi salivary gland genes of specimens inhabiting different ecological habitats in Egypt and Jordan and throughout the sand fly season in each habitat.ResultsThe majority of investigated genes were up-regulated in specimens from Swaymeh late in the season, when the availability of sugar sources is reduced due to water deprivation. On the other hand, these genes were not up-regulated in specimens collected from Aswan, an irrigated area less susceptible to drought effects.ConclusionExpression plasticity of genes involved with vectorial capacity in disease vectors may play an important epidemiological role in the establishment of diseases in natural habitats.

A landscape epidemiology modeling framework is presented which integrates the simulation outputs from an established spatial agent-based model (ABM) of malaria with a geographic information system (GIS). For a study area in Kenya, five landscape scenarios are constructed with varying coverage levels of two mosquito-control interventions. For each scenario, maps are presented to show the average distributions of three output indices obtained from the results of 750 simulation runs. Hot spot analysis is performed to detect statistically significant hot spots and cold spots. Additional spatial analysis is conducted using ordinary kriging with circular semivariograms for all scenarios. The integration of epidemiological simulation-based results with spatial analyses techniques within a single modeling framework can be a valuable tool for conducting a variety of disease control Land 2015, 4 379 activities such as exploring new biological insights, monitoring epidemiological landscape changes, and guiding resource allocation for further investigation.

Context: Habitat condition indicates the immediate success of efforts to revegetate degraded river basins as well as longer-term progress towards improving water quality. In the context of the Water Framework Directive, habitat condition in the UK also reflects how well international environmental policy translates into improved river management domestically. Objectives: 1. To assess whether habitat condition in the UK has improved or declined over the past two decades, 2. To assess whether regions identified by the first WFD assessment have improved or declined. Methods: Statistical and spatial analysis of more than 25,000 habitat condition records collated in the River Habitat Survey over the 1990s and 2000s. Computation of an Index of Change demonstrating the improvement or decline of habitat quality in Local Authorities. Comparison of Indices of Change with a sub-sample of 1,727 WFD assessments conducted in 258 Local Authorities. Results: Measures indicate that habitat quality has declined. Riparian quality has improved. 27 regions were identified with the worst declining quality. Condition has declined most substantially in regions that were previously in ‘good’ condition. Conclusion: Priorities for future investment should include improving degraded sites, protecting high quality sites, and increasing monitoring of ‘data poor’ regions. We offer a framework for decision making, including distinguishing the underlying cause of quality decline. Habitat quality decline in the UK mirrors the experience of European nations and points to systemic challenges associated with implementing international water policy in a national context.

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Biophysical condition is one indicator of the immediate success of efforts to restore degraded rivers as well as longer-term progress towards improving water quality. In the context of the Water Framework Directive (WFD), the biophysical condition of river systems in the UK also reflects how well international environmental policy translates into improved river management domestically. We assess whether the condition of river systems in the UK has improved or declined over the past two decades, whether regions identified by the first WFD assessment have improved or declined, and thus, how effectively international policy has been implemented nationally. Methods include: statistical and spatial analysis of more than 25,000 habitat condition records collated in the River Habitat Survey over the 1990s and 2000s; computing of an Index of Change for Local Authorities; and comparison of Indices of Change with a sub-sample of 1,727 WFD assessments conducted in 258 Local Authorities. Findings include that three of four measures indicate that biophysical quality has declined, although only the decline in one measure (habitat quality) was statistically significant. Riparian quality has improved, although measures do not consider invasive compared to native coverage. In total, 27 regions were identified with the worst declining quality. Comparative analysis of regions suggests that condition has declined most substantially in regions that were previously in "good" condition. Priorities for future investment include improving degraded sites, protecting high quality sites, and increasing monitoring of "data poor" regions. Our methodology offers an approach for utilising "messy" routinely collated data like the RHS. However, guidelines are needed to support the use of similar datasets for the international river restoration community.