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Araujo Navas, Andrea L. Hamm, Nicholas A. S. Soares Magalhães, Ricardo J. Stein, Alfred and Akogun, Oladele B. 2016. Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence. PLOS Neglected Tropical Diseases, Vol. 10, Issue. 12, p. e0005208.
FLETCHER-LARTEY, STEPHANIE M. and CAPRARELLI, GRAZIELLA 2016. Application of GIS technology in public health: successes and challenges. Parasitology, Vol. 143, Issue. 04, p. 401.
Malone, John Bergquist, Robert and Rinaldi, Laura 2016. Schistosoma.
Forrer, Armelle Vounatsou, Penelope Sayasone, Somphou Vonghachack, Youthanavanh Bouakhasith, Dalouny Utzinger, Jürg Akkhavong, Kongsap Odermatt, Peter and Yang, Guo-Jing 2015. Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models. PLOS Neglected Tropical Diseases, Vol. 9, Issue. 3, p. e0003486.
Hamm, Nicholas A. S. Soares Magalhães, Ricardo J. Clements, Archie C. A. and Lv, Shan 2015. Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases. PLOS Neglected Tropical Diseases, Vol. 9, Issue. 12, p. e0004164.
Hoffman, Julien I.E. 2015. Biostatistics for Medical and Biomedical Practitioners.
Hu, Yi Li, Rui Bergquist, Robert Lynn, Henry Gao, Fenghua Wang, Qizhi Zhang, Shiqing Sun, Liqian Zhang, Zhijie Jiang, Qingwu and Zhou, Xiao-Nong 2015. Spatio-temporal Transmission and Environmental Determinants of Schistosomiasis Japonica in Anhui Province, China. PLOS Neglected Tropical Diseases, Vol. 9, Issue. 2, p. e0003470.
Walz, Yvonne Wegmann, Martin Dech, Stefan Raso, Giovanna and Utzinger, Jürg 2015. Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook. Parasites & Vectors, Vol. 8, Issue. 1,
Xu, Jun-Fang Lv, Shan Wang, Qing-Yun Qian, Men-Bao Liu, Qin Bergquist, Robert and Zhou, Xiao-Nong 2015. Schistosomiasis japonica: Modelling as a tool to explore transmission patterns. Acta Tropica, Vol. 141, p. 213.
Zhang, Zhi-Jie 2015. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases.
CAPRARELLI, GRAZIELLA and FLETCHER, STEPHANIE 2014. A brief review of spatial analysis concepts and tools used for mapping, containment and risk modelling of infectious diseases and other illnesses. Parasitology, Vol. 141, Issue. 05, p. 581.
Cobo, Fernando 2014. Imported Infectious Diseases.
Hay, S. I. Battle, K. E. Pigott, D. M. Smith, D. L. Moyes, C. L. Bhatt, S. Brownstein, J. S. Collier, N. Myers, M. F. George, D. B. and Gething, P. W. 2013. Global mapping of infectious disease. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 368, Issue. 1614, p. 20120250.
Walker, Martin Hall, Andrew and Basáñez, María-Gloria 2013. Ascaris: The Neglected Parasite.
Elyazar, Iqbal R. F. Gething, Peter W. Patil, Anand P. Rogayah, Hanifah Sariwati, Elvieda Palupi, Niken W. Tarmizi, Siti N. Kusriastuti, Rita Baird, J. Kevin Hay, Simon I. and Braga, Erika Martins 2012. Plasmodium vivax Malaria Endemicity in Indonesia in 2010. PLoS ONE, Vol. 7, Issue. 5, p. e37325.
Forrer, Armelle Sayasone, Somphou Vounatsou, Penelope Vonghachack, Youthanavanh Bouakhasith, Dalouny Vogt, Steffen Glaser, Rüdiger Utzinger, Jürg Akkhavong, Kongsap Odermatt, Peter and Brooker, Simon 2012. Spatial Distribution of, and Risk Factors for, Opisthorchis viverrini Infection in Southern Lao PDR. PLoS Neglected Tropical Diseases, Vol. 6, Issue. 2, p. e1481.
Howes, Rosalind E. Piel, Frédéric B. Patil, Anand P. Nyangiri, Oscar A. Gething, Peter W. Dewi, Mewahyu Hogg, Mariana M. Battle, Katherine E. Padilla, Carmencita D. Baird, J. Kevin Hay, Simon I. and von Seidlein, Lorenz 2012. G6PD Deficiency Prevalence and Estimates of Affected Populations in Malaria Endemic Countries: A Geostatistical Model-Based Map. PLoS Medicine, Vol. 9, Issue. 11, p. e1001339.
Jeffery, Jason A. L. Clements, Archie C. A. Nguyen, Yen Thi Nguyen, Le Hoang Tran, Son Hai Le, Nghia Trung Vu, Nam Sinh Ryan, Peter A. Kay, Brian H. and Moreira, Luciano A. 2012. Water Level Flux in Household Containers in Vietnam - A Key Determinant of Aedes aegypti Population Dynamics. PLoS ONE, Vol. 7, Issue. 7, p. e39067.
PULLAN, RACHEL L. STURROCK, HUGH J. W. SOARES MAGALHÃES, RICARDO J. CLEMENTS, ARCHIE C. A. and BROOKER, SIMON J. 2012. Spatial parasite ecology and epidemiology: a review of methods and applications. Parasitology, Vol. 139, Issue. 14, p. 1870.
A Bayesian geostatistical model was developed to predict the intensity of infection with Schistosoma mansoni in East Africa. Epidemiological data from purpose-designed and standardized surveys were available for 31458 schoolchildren (90% aged between 6 and 16 years) from 459 locations across the region and used in combination with remote sensing environmental data to identify factors associated with spatial variation in infection patterns. The geostatistical model explicitly takes into account the highly aggregated distribution of parasite distributions by fitting a negative binomial distribution to the data and accounts for spatial correlation. Results identify the role of environmental risk factors in explaining geographical heterogeneity in infection intensity and show how these factors can be used to develop a predictive map. Such a map has important implications for schisosomiasis control programmes in the region.
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