The true costs of participatory sanitation: evidence from community-led total sanitation studies in Ghana and Ethiopia

Evidence on sanitation and hygiene program costs is used for many purposes. The few studies that report costs use top-down costing methods that are inaccurate and inappropriate. Community-led total sanitation (CLTS) is a participatory behavior-change approach that presents difficulties for cost analysis. We used implementation tracking and bottom-up, activity-based costing to assess the process, program costs, and local investments for four CLTS interventions in Ghana and Ethiopia. Data collection included implementation checklists, surveys, and financial records review. Financial costs and value-of-time spent on CLTS by different actors were assessed. Results are disaggregated by intervention, cost category, actor, geographic area, and project month. The average household sizewas 4.0 people in Ghana, and 5.8 people in Ethiopia. The program cost of CLTSwas $30.34–$81.56 per household targeted in Ghana, and $14.15–$19.21 in Ethiopia. Most program costs were from training for three of four interventions. Local investments ranged from $7.93–$22.36 per household targeted in Ghana, and $2.35–$3.41 in Ethiopia. This is the first study to present comprehensive, disaggregated costs of a sanitation and hygiene behavior-change intervention. The findings can be used to inform policy and finance decisions, plan program scale-up, perform cost-effectiveness and benefit studies, and compare different interventions. The costing method is applicable to other public health behavior-change programs

Conservation priorities differ at opposing species borders of a European orchid

How populations from different regions within the distribution of a species contribute to the adaptive potential and survival of that species has important implications for formulating conservation actions. We test assumptions of concepts on geographic population structure (e.g. central-marginal concept and ‘rear edge versus leading edge’ model) that could be used to inform conservation of plant species under climatic changes. We analyze a comprehensive dataset of demographic traits (e.g. population size, flowering, δ13C of plant leaves) of up to 32 sites of Himantoglossum hircinum (L.) Spreng. (Orchidaceae) located within six sub-regions of its European distribution range. Soil and climate parameters are employed as environmental predictors of variation in measured population traits. Climate is the main driver of demographic variability overriding central-marginal gradients that might be present. Warming of the climate at high latitudes paves the way for northward range expansion of species. Populations at the north and north-eastern range peripheries partly show exponential population growth and high genetic diversity and are likely to be the source of immigrants for colonization of newly suitable habitats as the climate continues to change. In recent times, populations at the southern range periphery have suffered from intensification of land use and decreasing rainfall, but in the case of Southern Italy are important because they contain genetically unique traits. Populations at both, ‘leading’ and ‘rear’, edges ought to be at the focus of conservation planning. Different conservation strategies are proposed at opposing species borders taking into account spatial variation in population needs on a geographic scale, projected population response to expected environmental changes and genetic characteristics

hannorein/rebound: 4.0.1

<ul> <li>Include missing python packages</li> </ul&gt

hannorein/rebound: 3.28.1

Improved support for reading old and corrupted SimulationArchives. Renamed ri_ias15.epsilon_global to ri_ias15.adaptive_mode. Added new timestep method for IAS15 ri_ias15.adaptive_mode = 2. This is experimental for now. Details to be described in Pham, Rein & Spiegel (in prep). Added unit tests to check for fused multiply add instruction (these break reproducibility). Added phony target in C Makefile to force rebuilding librebound whenever building examples

hannorein/rebound: 3.28.0

Native Windows support. REBOUND can now be built natively on Windows (without WSL) using the Microsoft Visual Studio Compiler. Python Wheels are now provided for Linux, MacOS, and Windows. This should significantly speed up the installation process on a wide variety of systems