Comparative Spatial Dynamics of Japanese Encephalitis and Acute Encephalitis Syndrome in Nepal
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{"title"=>"Comparative Spatial Dynamics of Japanese Encephalitis and Acute Encephalitis Syndrome in Nepal", "type"=>"journal", "authors"=>[{"first_name"=>"Colin", "last_name"=>"Robertson", "scopus_author_id"=>"35365133800"}, {"first_name"=>"Dhan Kumar", "last_name"=>"Pant", "scopus_author_id"=>"57197888364"}, {"first_name"=>"Durga Datt", "last_name"=>"Joshi", "scopus_author_id"=>"55431908800"}, {"first_name"=>"Minu", "last_name"=>"Sharma", "scopus_author_id"=>"7403269284"}, {"first_name"=>"Meena", "last_name"=>"Dahal", "scopus_author_id"=>"39061351900"}, {"first_name"=>"Craig", "last_name"=>"Stephen", "scopus_author_id"=>"7005509077"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0066168", "pui"=>"369412133", "sgr"=>"84880667922", "scopus"=>"2-s2.0-84880667922", "issn"=>"19326203", "pmid"=>"23894277", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)"}, "id"=>"9a8ae33b-7f1a-3be9-9e24-c7b9ce809438", "abstract"=>"Japanese Encephalitis (JE) is a vector-borne disease of major importance in Asia. Recent increases in cases have spawned the development of more stringent JE surveillance. Due to the difficulty of making a clinical diagnosis, increased tracking of common symptoms associated with JE-generally classified as the umbrella term, acute encephalitis syndrome (AES) has been developed in many countries. In Nepal, there is some debate as to what AES cases are, and how JE risk factors relate to AES risk. Three parts of this analysis included investigating the temporal pattern of cases, examining the age and vaccination status patterns among AES surveillance data, and then focusing on spatial patterns of risk factors. AES and JE cases from 2007-2011 reported at a district level (n = 75) were examined in relation to landscape risk factors. Landscape pattern indices were used to quantify landscape patterns associated with JE risk. The relative spatial distribution of landscape risk factors were compared using geographically weighted regression. Pattern indices describing the amount of irrigated land edge density and the degree of landscape mixing for irrigated areas were positively associated with JE and AES, while fragmented forest measured by the number of forest patches were negatively associated with AES and JE. For both JE and AES, the local GWR models outperformed global models, indicating spatial heterogeneity in risks. Temporally, the patterns of JE and AES risk were almost identical; suggesting the relative higher caseload of AES compared to JE could provide a valuable early-warning signal for JE surveillance and reduce diagnostic testing costs. Overall, the landscape variables associated with a high degree of landscape mixing and small scale irrigated agriculture were positively linked to JE and AES risk, highlighting the importance of integrating land management policies, disease prevention strategies and promoting healthy sustainable livelihoods in both rural and urban-fringe developing areas.", "link"=>"http://www.mendeley.com/research/comparative-spatial-dynamics-japanese-encephalitis-acute-encephalitis-syndrome-nepal", "reader_count"=>38, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Student > Doctoral Student"=>3, "Researcher"=>15, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Student > Doctoral Student"=>3, "Researcher"=>15, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Environmental Science"=>6, "Nursing and Health Professions"=>1, "Agricultural and Biological Sciences"=>9, "Medicine and Dentistry"=>12, "Design"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Social Sciences"=>4, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>12}, "Social Sciences"=>{"Social Sciences"=>4}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>9}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>6}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Brazil"=>1, "India"=>2, "Russia"=>1}, "group_count"=>8}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1124657"], "description"=>"<p>(JE - Japanese Encephalitis, Acute Encephalitis Syndrome (AES), unknown viral encephalopathy UVE).</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "trends", "cases", "16", "vaccinated"], "article_id"=>749868, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.g004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Annual_trends_in_a_the_proportion_of_cases_under_the_age_of_16_and_b_the_proportion_of_cases_vaccinated_in_Nepal_2007_8211_2011_/749868", "title"=>"Annual trends in a) the proportion of cases under the age of 16 and b) the proportion of cases vaccinated in Nepal, 2007–2011.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124653"], "description"=>"<p>a) Seasonal distribution of AES (line), JE (light bars) and UVE (dark bars) cases over the study period. b) Time series of AES (solid), JE (light dots) and UVE (dark dash) cases over the study period.</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "patterns", "japanese", "encephalitis", "acute", "viral", "encephalopathy"], "article_id"=>749864, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.g003", "stats"=>{"downloads"=>0, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temporal_patterns_in_Japanese_Encephalitis_JE_Acute_Encephalitis_Syndrome_AES_and_unknown_viral_encephalopathy_UVE_in_Nepal_2007_8211_2011_/749864", "title"=>"Temporal patterns in Japanese Encephalitis (JE), Acute Encephalitis Syndrome (AES) and unknown viral encephalopathy (UVE) in Nepal, 2007–2011.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124648"], "description"=>"<p>The interspersion juxtaposition index (IJI) measures the relative spatial mixing of a landcover class in the study area. Edge density (ED) measures the amount of edge relative to the total area (class and landscape), while the number of patches (NumP) reports the total and class level number of contiguous landcover classes. Class 2 was chosen to illustrate class level LPIs in the random map drawn from a Binomial distribution (a) and the result of a median filter on the same map (b) which maintained the relative proportion of class 2 (∼32%).</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "indices", "relationships", "landcover"], "article_id"=>749859, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Landscape_pattern_indices_LPIs_used_to_investigate_relationships_between_landcover_and_disease_risk_/749859", "title"=>"Landscape pattern indices (LPIs) used to investigate relationships between landcover and disease risk.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124662"], "description"=>"<p>Note that coefficient estimates are reported in log terms and the independent variables were z-transformed before entering into the regression model.</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "regression", "japanese", "encephalitis", "acute"], "article_id"=>749873, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.t003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Global_regression_model_results_for_a_Japanese_Encephalitis_JE_and_b_Acute_Encephalitis_Syndrome_AES_/749873", "title"=>"Global regression model results for a) Japanese Encephalitis (JE) and b) Acute Encephalitis Syndrome (AES).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124661"], "description"=>"<p>All indices are computed at the district level.</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "indices", "quantify", "patterns", "nepal", "2000"], "article_id"=>749872, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Landscape_pattern_indices_used_to_quantify_landscape_patterns_in_Nepal_based_on_Global_Land_Cover_2000_classification_/749872", "title"=>"Landscape pattern indices used to quantify landscape patterns in Nepal based on Global Land Cover 2000 classification.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124659"], "description"=>"<p>Maps of geographically weighted regression analysis for Japanese Encephalitis (JE) and Acute Encephalitis Syndrome (AES) and relationships with selected landscape pattern indices.</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "geographically", "weighted", "regression", "japanese", "encephalitis", "acute", "relationships"], "article_id"=>749870, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.g005", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Maps_of_geographically_weighted_regression_analysis_for_Japanese_Encephalitis_JE_and_Acute_Encephalitis_Syndrome_AES_and_relationships_with_selected_landscape_pattern_indices_/749870", "title"=>"Maps of geographically weighted regression analysis for Japanese Encephalitis (JE) and Acute Encephalitis Syndrome (AES) and relationships with selected landscape pattern indices.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124646"], "description"=>"<p>Maximum standardized incidence ratios over the study period for a) Japanese Encephalitis (JE) and b) Acute Encephalitis Syndrome (AES).</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "standardized", "incidence", "ratios", "japanese", "encephalitis", "acute"], "article_id"=>749857, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.g001", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Maximum_standardized_incidence_ratios_over_the_study_period_for_a_Japanese_Encephalitis_JE_and_b_Acute_Encephalitis_Syndrome_AES_/749857", "title"=>"Maximum standardized incidence ratios over the study period for a) Japanese Encephalitis (JE) and b) Acute Encephalitis Syndrome (AES).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-22 01:48:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1124663"], "description"=>"<p>Descriptive statistics of Japanese Encephalitis (JE), Acute Encephalitis Syndrome (AES) and Unknown Viral Encephalopathy (UVE) in Nepal, 2007–2011.</p>", "links"=>[], "tags"=>["Computational biology", "Population modeling", "Infectious disease modeling", "Population biology", "epidemiology", "Spatial epidemiology", "Disease mapping", "Infectious disease epidemiology", "Global health", "Infectious diseases", "neglected tropical diseases", "Japanese encephalitis", "Viral diseases", "Public health", "disease ecology", "Environmental health", "japanese", "encephalitis", "acute", "viral", "encephalopathy"], "article_id"=>749874, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Colin Robertson", "Dhan Kumar Pant", "Durga Datt Joshi", "Minu Sharma", "Meena Dahal", "Craig Stephen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066168.t002", "stats"=>{"downloads"=>4, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_statistics_of_Japanese_Encephalitis_JE_Acute_Encephalitis_Syndrome_AES_and_Unknown_Viral_Encephalopathy_UVE_in_Nepal_2007_8211_2011_/749874", "title"=>"Descriptive statistics of Japanese Encephalitis (JE), Acute Encephalitis Syndrome (AES) and Unknown Viral Encephalopathy (UVE) in Nepal, 2007–2011.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-22 01:48:04"}

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Relative Metric

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