World Bank Publications. The World Bank eAtlas mapping tool, developed in cooperation with Harper Collins UK, allows users to easily and quickly transform data into customized visual comparisons across time, countries, and regions. The resulting full color maps and graphs can subsequently be exported for sharing, used in presentations, and saved for later use. Each eAtlas also allows users to... map indicators by latest available data (per country) or a given year compare two maps side by side read descriptions of the thematic groups of indicators find indicators by word search or through related themes create time-series graphs for specific countries * view data in a ranking order table or bar graph * alter map colors, intervals, and more bookmark, share, export maps or data files import your own data (temporary not available) * available for selected eAtlases NEW!
Now Available! Data.worldbank.org/atlas-fi This eAtlas allows users to map and graph dozens of financial inclusion indicators across economies. The WHO e-atlas of disaster risk for the European Region. Integrated Rapid Mapping of Neglected Tropical Diseases in Three States of South Sudan: Survey Findings and Treatment Needs. Background Integrated rapid mapping to target interventions for schistosomiasis, soil-transmitted helminthiasis (STH) and lymphatic filariasis (LF) is ongoing in South Sudan. From May to September 2010, three states – Unity, Eastern Equatoria and Central Equatoria – were surveyed with the aim of identifying which administrative areas are eligible for mass drug administration (MDA) of preventive chemotherapy (PCT).
Methods and Principal Findings Payams (third administrative tier) were surveyed for Schistosoma mansoni, S. haematobium and STH infections while counties (second administrative tier) were surveyed for LF. Overall, 12,742 children from 193 sites were tested for schistosome and STH infection and, at a subset of 50 sites, 3,980 adults were tested for LF. Either S. mansoni or S. haematobium or both species were endemic throughout Unity State and occurred in foci in Central and Eastern Equatoria. Conclusions Figures Copyright: © 2012 Finn et al. Introduction Figure 1. Methods Study Sites. A Metric of Influential Spreading during Contagion Dynamics through the Air Transportation Network. Results Stochastic Model of Agent Mobility Air transportation data. We develop a stochastic model of human mobility through a US-centric air transportation network. We use air-travel data provided by the Federal Aviation Administration (www.faa.gov) that includes all flights from all domestic and international airlines with at least one origin or destination inside the US (including Alaska and Hawaii), for the period between January 2007 and July 2010.
(or connectivity) of each node, the population associated with each node, as well as the traffic volume through the links of the network [13], [23]. Where is the yearly passenger traffic from origin to destination ; and a traffic transport matrix is the yearly passenger traffic in the segment from airport to airport Figure 1. (a) World map with the location of the 1833 airports in the US database from the Federal Aviation Administration (www.faa.gov). Doi:10.1371/journal.pone.0040961.g001 Empirical model. , we assign a population . . And destination.