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      The spatial spread of schistosomiasis: A multidimensional network model applied to Saint-Louis region, Senegal

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          Highlights

          • Environmental and social connectivity has a key role on the spread of schistosomiasis.

          • A coupled human-snail-larval system is applied in a connected environment.

          • Water contact patterns are estimated by coupling CDRs with hydrological information.

          • The implementation of a comprehensive approach is important for fighting the disease.

          Abstract

          Schistosomiasis is a parasitic, water-related disease that is prevalent in tropical and subtropical areas of the world, causing severe and chronic consequences especially among children. Here we study the spatial spread of this disease within a network of connected villages in the endemic region of the Lower Basin of the Senegal River, in Senegal. The analysis is performed by means of a spatially explicit metapopulation model that couples local-scale eco-epidemiological dynamics with spatial mechanisms related to human mobility (estimated from anonymized mobile phone records), snail dispersal and hydrological transport of schistosome larvae along the main water bodies of the region. Results show that the model produces epidemiological patterns consistent with field observations, and point out the key role of spatial connectivity on the spread of the disease. These findings underline the importance of considering different transport pathways in order to elaborate disease control strategies that can be effective within a network of connected populations.

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          Most cited references42

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          Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk.

          An estimated 779 million people are at risk of schistosomiasis, of whom 106 million (13.6%) live in irrigation schemes or in close proximity to large dam reservoirs. We identified 58 studies that examined the relation between water resources development projects and schistosomiasis, primarily in African settings. We present a systematic literature review and meta-analysis with the following objectives: (1) to update at-risk populations of schistosomiasis and number of people infected in endemic countries, and (2) to quantify the risk of water resources development and management on schistosomiasis. Using 35 datasets from 24 African studies, our meta-analysis showed pooled random risk ratios of 2.4 and 2.6 for urinary and intestinal schistosomiasis, respectively, among people living adjacent to dam reservoirs. The risk ratio estimate for studies evaluating the effect of irrigation on urinary schistosomiasis was in the range 0.02-7.3 (summary estimate 1.1) and that on intestinal schistosomiasis in the range 0.49-23.0 (summary estimate 4.7). Geographic stratification showed important spatial differences, idiosyncratic to the type of water resources development. We conclude that the development and management of water resources is an important risk factor for schistosomiasis, and hence strategies to mitigate negative effects should become integral parts in the planning, implementation, and operation of future water projects.
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            Voronoi diagrams---a survey of a fundamental geometric data structure

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              The structure and dynamics of multilayer networks

              , , (2014)
              In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.
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                Author and article information

                Contributors
                Journal
                Adv Water Resour
                Adv Water Resour
                Advances in Water Resources
                C.M.L. Publications ;, Springer-Verlag
                0309-1708
                1 October 2017
                October 2017
                : 108
                : 406-415
                Affiliations
                [a ]Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy
                [b ]Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, United States
                [c ]Marine Science Institute, University of California, Santa Barbara, CA 93106, United States
                Author notes
                Article
                S0309-1708(16)30538-3
                10.1016/j.advwatres.2016.10.012
                5637889
                29056816
                b41e9e62-c1a2-43d3-a52c-63cc5815a777
                © 2016 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 May 2016
                : 13 September 2016
                : 10 October 2016
                Categories
                Article

                neglected tropical diseases,multidimensional network model,mobile phone records,spatial connectivity,metapopulations

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