Multi-Host Transmission Dynamics of Schistosoma japonicum in Samar Province, the Philippines
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{"title"=>"Multi-host transmission dynamics of Schistosoma japonicum in Samar Province, the Philippines", "type"=>"journal", "authors"=>[{"first_name"=>"Steven", "last_name"=>"Riley", "scopus_author_id"=>"7102619416"}, {"first_name"=>"Hélène", "last_name"=>"Carabin", "scopus_author_id"=>"7003743787"}, {"first_name"=>"Patrick", "last_name"=>"Bélisle", "scopus_author_id"=>"6601973587"}, {"first_name"=>"Lawrence", "last_name"=>"Joseph", "scopus_author_id"=>"7103166124"}, {"first_name"=>"Veronica", "last_name"=>"Tallo", "scopus_author_id"=>"12800194400"}, {"first_name"=>"Ernesto", "last_name"=>"Balolong", "scopus_author_id"=>"9636314600"}, {"first_name"=>"A. Lee", "last_name"=>"Willingham", "scopus_author_id"=>"7004525128"}, {"first_name"=>"Tomas J.", "last_name"=>"Fernandez", "scopus_author_id"=>"23485133700"}, {"first_name"=>"Ryan", "last_name"=>"O'Neal Gonzales", "scopus_author_id"=>"23486394800"}, {"first_name"=>"Remigio", "last_name"=>"Olveda", "scopus_author_id"=>"6701313494"}, {"first_name"=>"Stephen T.", "last_name"=>"McGarvey", "scopus_author_id"=>"56235234600"}], "year"=>2008, "source"=>"PLoS Medicine", "identifiers"=>{"sgr"=>"38849200255", "pmid"=>"18215106", "pui"=>"351198262", "isbn"=>"1549-1676 (Electronic)", "scopus"=>"2-s2.0-38849200255", "doi"=>"10.1371/journal.pmed.0050018", "issn"=>"15491277"}, "id"=>"f209a3f8-5976-3a16-b90e-b3f0ec25d4b7", "abstract"=>"BACKGROUND: Among the 6.7 million people living in areas of the Philippines where infection with Schistosoma japonicum is considered endemic, even within small geographical areas levels of infection vary considerably. In general, the ecological drivers of this variability are not well described. Unlike other schistosomes, S. japonicum is known to infect several mammalian hosts. However, the relative contribution of different hosts to the transmission cycle is not well understood. Here, we characterize the transmission dynamics of S. japonicum using data from an extensive field study and a mathematical transmission model. METHODS AND FINDINGS: In this study, stool samples were obtained from 5,623 humans and 5,899 potential nonhuman mammalian hosts in 50 villages in the Province of Samar, the Philippines. These data, with variable numbers of samples per individual, were adjusted for known specificities and sensitivities of the measurement techniques before being used to estimate the parameters of a mathematical transmission model, under the assumption that the dynamic transmission processes of infection and recovery were in a steady state in each village. The model was structured to allow variable rates of transmission from different mammals (humans, dogs, cats, pigs, domesticated water buffalo, and rats) to snails and from snails to mammals. First, we held transmission parameters constant for all villages and found that no combination of mammalian population size and prevalence of infectivity could explain the observed variability in prevalence of infection between villages. We then allowed either the underlying rate of transmission (a) from snails to mammals or (b) from mammals to snails to vary by village. Our data provided substantially more support for model structure (a) than for model structure (b). Fitted values for the village-level transmission intensity from snails to mammals appeared to be strongly spatially correlated, which is consistent with results from descriptive hierarchical analyses. CONCLUSIONS: Our results suggest that the process of acquiring mammalian S. japonicum infection is more important in explaining differences in prevalence of infection between villages than the process of snails becoming infected. Also, the contribution from water buffaloes to human S. japonicum infection in the Philippines is less important than has been recently observed for bovines in China. These findings have implications for the prioritization of mitigating interventions against S. japonicum transmission.", "link"=>"http://www.mendeley.com/research/multihost-transmission-dynamics-schistosoma-japonicum-samar-province-philippines", "reader_count"=>57, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>8, "Researcher"=>13, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Student > Master"=>7, "Other"=>2, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>8, "Researcher"=>13, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Student > Master"=>7, "Other"=>2, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Environmental Science"=>3, "Mathematics"=>4, "Medicine and Dentistry"=>10, "Agricultural and Biological Sciences"=>27, "Neuroscience"=>1, "Sports and Recreations"=>1, "Social Sciences"=>1, "Immunology and Microbiology"=>1, "Earth and Planetary Sciences"=>1, "Linguistics"=>1, "Nursing and Health Professions"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>27}, "Linguistics"=>{"Linguistics"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Mathematics"=>{"Mathematics"=>4}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>3}}, "reader_count_by_country"=>{"United States"=>1, "United Kingdom"=>1, "Russia"=>1}, "group_count"=>2}

Scopus | Further Information

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  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"4", "html_views"=>"14"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"16"}
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  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"17", "xml_views"=>"0", "html_views"=>"33"}
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  • {"month"=>"3", "year"=>"2021", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"8"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/938352"], "description"=>"<p>Subscripts denote species (<i>H</i>, human; <i>S</i>, snail; <i>X,</i> one of dog, cat, water buffalo, pig, or rat). Infection states are <i>E</i>, exposed and infected but not yet infectious; <i>H</i>, heavily infected; <i>I</i>, infected; <i>L</i>, lightly infected; and <i>S</i>, susceptible. Solid lines show the natural history of infection assumed for each species and dashed lines show the contribution by one species to the force-of-infection of another. The line below <i>I<sub>S</sub></i>, terminated by a small circle, indicates the death of infected snails. We assume that the birth rate of susceptible snails is equal to the death rate of infected snails to ensure a constant snail population size.</p>", "links"=>[], "tags"=>["ecology", "public health and epidemiology"], "article_id"=>608793, "categories"=>["Ecology", "Biotechnology"], "users"=>["Steven Riley", "Hélène Carabin", "Patrick Bélisle", "Lawrence Joseph", "Veronica Tallo", "Ernesto Balolong", "A. Lee Willingham III", "Tomas J Fernandez Jr.", "Ryan O'Neal Gonzales", "Remigio Olveda", "Stephen T McGarvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.0050018.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Structure_of_the_Dynamic_Model_/608793", "title"=>"Structure of the Dynamic Model", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 11:09:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/938580"], "description"=>"<p>The linear size of the red triangles is proportional to the value of <i>β<sub>SM</sub></i>(<i>j</i>). The outset chart shows the location of the study region in the Philippines. North is towards the top of the page in both charts.</p>", "links"=>[], "tags"=>["snails", "mammals"], "article_id"=>609018, "categories"=>["Ecology", "Biotechnology"], "users"=>["Steven Riley", "Hélène Carabin", "Patrick Bélisle", "Lawrence Joseph", "Veronica Tallo", "Ernesto Balolong", "A. Lee Willingham III", "Tomas J Fernandez Jr.", "Ryan O'Neal Gonzales", "Remigio Olveda", "Stephen T McGarvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.0050018.g003", "stats"=>{"downloads"=>4, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spatial_Distribution_of_the_Underlying_Rate_of_Transmission_between_Snails_and_Mammals_SM_j_under_the_Best_Fit_Hypothesis_H_2_/609018", "title"=>"Spatial Distribution of the Underlying Rate of Transmission between Snails and Mammals <i>β<sub>SM</sub></i>(<i>j</i>) under the Best Fit Hypothesis, <b>H</b><sub>2</sub>", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 11:10:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/938459"], "description"=>"<p>Hypotheses were as follows. <b>H</b><sub>0</sub> (no site-specific variability, left column), <b>H</b><sub>1</sub> (site specific variability in process of infection from mammals to snails, centre column), and <b>H</b><sub>2</sub> (site specific variability in process of infection from snails to mammals, right column). Each of the 49 villages is indexed (x-axis) according to the prevalence of infection for each particular species, i.e., the ordering of villages is different for charts in different rows in this graph (other than top two rows). For humans (top two rows), the villages are indexed according to estimated overall prevalence. Grey points show the observed prevalence, adjusted jointly for the sensitivity and specificity of parasitological tests and the number of stool samples provided per participant. Binomial confidence intervals are presented for these adjusted data. The red points show the maximum likelihood steady-state values for the transmission model.</p>", "links"=>[], "tags"=>["observed", "prevalence", "hypotheses", "classes", "reservoir"], "article_id"=>608899, "categories"=>["Ecology", "Biotechnology"], "users"=>["Steven Riley", "Hélène Carabin", "Patrick Bélisle", "Lawrence Joseph", "Veronica Tallo", "Ernesto Balolong", "A. Lee Willingham III", "Tomas J Fernandez Jr.", "Ryan O'Neal Gonzales", "Remigio Olveda", "Stephen T McGarvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.0050018.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_Model_Red_and_Observed_Grey_Prevalence_Under_Different_Hypotheses_for_Two_Classes_of_Human_Infection_and_Five_Potential_Animal_Reservoir_Species_/608899", "title"=>"Comparison of Model (Red) and Observed (Grey) Prevalence Under Different Hypotheses for Two Classes of Human Infection and Five Potential Animal Reservoir Species", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 11:10:10"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"7", "full-text"=>"9", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"30", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
  • {"unique-ip"=>"5", "full-text"=>"9", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
  • {"unique-ip"=>"12", "full-text"=>"17", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}

Relative Metric

{"start_date"=>"2008-01-01T00:00:00Z", "end_date"=>"2008-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[324, 674, 863, 1015, 1146, 1259, 1360, 1452, 1540, 1621, 1704, 1776, 1843, 1905, 1968, 2029, 2097, 2162, 2233, 2289, 2352, 2412, 2476, 2538, 2601, 2655, 2714, 2777, 2841, 2894, 2946, 2998, 3047, 3103, 3151, 3201, 3258, 3317, 3369, 3424, 3471, 3521, 3583, 3625, 3687, 3743, 3788, 3838, 3896, 3953, 4015, 4075, 4148, 4201, 4275, 4347, 4420, 4486, 4535, 4592, 4660, 4731, 4792, 4845, 4901, 4971, 5027, 5089, 5148, 5200, 5261, 5318, 5374]}, {"subject_area"=>"/Medicine and health sciences/Parasitic diseases", "average_usage"=>[306, 672, 856, 996, 1089, 1178, 1276, 1388, 1484, 1598, 1658, 1742, 1804, 1882, 1923, 1967, 2032, 2098, 2147, 2199, 2242, 2290, 2339, 2374, 2434, 2487, 2556, 2605, 2645, 2688, 2726, 2761, 2808, 2845, 2905, 2945, 2992, 3034, 3094, 3146, 3199, 3244, 3295, 3343, 3391, 3437, 3483, 3545, 3609, 3669, 3734, 3798, 3854, 3914, 3952, 3991, 4046, 4130, 4192, 4261, 4316, 4388, 4446, 4492, 4540, 4616, 4682, 4750, 4799, 4848, 4943, 5014, 5043]}, {"subject_area"=>"/People and places", "average_usage"=>[376, 765, 965, 1137, 1264, 1357, 1454, 1568, 1659, 1751, 1833, 1905, 1979, 2059, 2132, 2187, 2267, 2344, 2399, 2463, 2517, 2586, 2645, 2716, 2834, 2894, 3003, 3079, 3152, 3226, 3290, 3339, 3407, 3455, 3530, 3612, 3691, 3755, 3794, 3824, 3876, 3937, 3997, 4052, 4129, 4211, 4295, 4334, 4367, 4428, 4488, 4527, 4563, 4639, 4717, 4795, 4853, 4928, 4993, 5108, 5167, 5235, 5316, 5376, 5415, 5479, 5543, 5619, 5668, 5735, 5797, 5896, 5961]}]}
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