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{"title"=>"Age-specificity of clinical dengue during primary and secondary infections", "type"=>"journal", "authors"=>[{"first_name"=>"Khoa T D", "last_name"=>"Thai", "scopus_author_id"=>"8401117500"}, {"first_name"=>"Hiroshi", "last_name"=>"Nishiura", "scopus_author_id"=>"7005501836"}, {"first_name"=>"Phuong Lan", "last_name"=>"Hoang", "scopus_author_id"=>"47761113500"}, {"first_name"=>"Nga Thanh Thi", "last_name"=>"Tran", "scopus_author_id"=>"47761565300"}, {"first_name"=>"Giao Trong", "last_name"=>"Phan", "scopus_author_id"=>"12785004700"}, {"first_name"=>"Hung Quoc", "last_name"=>"Le", "scopus_author_id"=>"12785457500"}, {"first_name"=>"Binh Quang", "last_name"=>"Tran", "scopus_author_id"=>"36341594700"}, {"first_name"=>"Nam", "last_name"=>"Van Nguyen", "scopus_author_id"=>"23010473700"}, {"first_name"=>"Peter J.", "last_name"=>"de Vries", "scopus_author_id"=>"7102207519"}], "year"=>2011, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"pui"=>"362058191", "sgr"=>"79959852480", "issn"=>"19352727", "pmid"=>"21713018", "scopus"=>"2-s2.0-79959852480", "doi"=>"10.1371/journal.pntd.0001180", "isbn"=>"1935-2735 (Electronic) 1935-2727 (Linking)"}, "id"=>"fb2a4ec2-5f61-3344-a427-b3b8659fd825", "abstract"=>"BACKGROUND: This study aims to estimate the age-specific risks of clinical dengue attack (i.e., the risk of symptomatic dengue among the total number of dengue virus (DENV) infections) during primary and secondary infections. METHODS: We analyzed two pieces of epidemiological information in Binh Thuan province, southern Vietnam, i.e., age-specific seroprevalence and a community-wide longitudinal study of clinical dengue attack. The latter data set stratified febrile patients with DENV infection by age as well as infection parity. A simple modeling approach was employed to estimate the age-specific risks of clinical dengue attack during primary and secondary infections. RESULTS: Using the seroprevalence data, the force of infection was estimated to be 11.7% (95% confidence intervals (CI): 10.8-12.7) per year. Median age (and the 25-75 percentiles) of dengue fever patients during primary and secondary infections were 12 (9-20) and 20 (14-31) years, respectively. The estimated age-specific risk of clinical dengue increases as a function of age for both primary and secondary infections; the estimated proportion of symptomatic patients among the total number of infected individuals was estimated to be <7% for those aged <10 years for both primary and secondary infections, but increased as patients become older, reaching to 8-11% by the age of 20 years. CONCLUSIONS/SIGNIFICANCE: For both primary and secondary infections, higher age at DENV infection was shown to result in higher risk of clinical attack. Age as an important modulator of clinical dengue explains recent increase in dengue notifications in ageing countries in Southeast Asia, and moreover, poses a paradoxical problem of an increase in adult patients resulting from a decline in the force of infection, which may be caused by various factors including time-dependent variations in epidemiological, ecological and demographic dynamics.", "link"=>"http://www.mendeley.com/research/agespecificity-clinical-dengue-during-primary-secondary-infections", "reader_count"=>108, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>2, "Researcher"=>28, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>22, "Student > Postgraduate"=>5, "Student > Master"=>21, "Other"=>8, "Student > Bachelor"=>7, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>2, "Researcher"=>28, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>22, "Student > Postgraduate"=>5, "Student > Master"=>21, "Other"=>8, "Student > Bachelor"=>7, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Agricultural and Biological Sciences"=>36, "Business, Management and Accounting"=>1, "Veterinary Science and Veterinary Medicine"=>2, "Computer Science"=>1, "Engineering"=>1, "Environmental Science"=>2, "Biochemistry, Genetics and Molecular Biology"=>3, "Nursing and Health Professions"=>2, "Mathematics"=>3, "Medicine and Dentistry"=>46, "Physics and Astronomy"=>1, "Social Sciences"=>4, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>46}, "Social Sciences"=>{"Social Sciences"=>4}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>2}, "Engineering"=>{"Engineering"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>36}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>2}}, "reader_count_by_country"=>{"Vietnam"=>2, "United States"=>2, "Brazil"=>2, "United Kingdom"=>2, "Malaysia"=>1, "Chile"=>1, "Germany"=>1, "Indonesia"=>1, "French Polynesia"=>1}, "group_count"=>17}

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• http://doi.org/10.1016/j.actatropica.2017.09.025
• http://doi.org/10.1038/s41467-019-09193-y
• http://doi.org/10.4269/ajtmh.14-0671
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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/383638", "https://ndownloader.figshare.com/files/383679", "https://ndownloader.figshare.com/files/383748", "https://ndownloader.figshare.com/files/383805"], "description"=>"<div><h3>Background</h3><p>This study aims to estimate the age-specific risks of clinical dengue attack (i.e., the risk of symptomatic dengue among the total number of dengue virus (DENV) infections) during primary and secondary infections.</p> <h3>Methods</h3><p>We analyzed two pieces of epidemiological information in Binh Thuan province, southern Vietnam, i.e., age-specific seroprevalence and a community-wide longitudinal study of clinical dengue attack. The latter data set stratified febrile patients with DENV infection by age as well as infection parity. A simple modeling approach was employed to estimate the age-specific risks of clinical dengue attack during primary and secondary infections.</p> <h3>Results</h3><p>Using the seroprevalence data, the force of infection was estimated to be 11.7% (95% confidence intervals (CI): 10.8–12.7) per year. Median age (and the 25–75 percentiles) of dengue fever patients during primary and secondary infections were 12 (9–20) and 20 (14–31) years, respectively. The estimated age-specific risk of clinical dengue increases as a function of age for both primary and secondary infections; the estimated proportion of symptomatic patients among the total number of infected individuals was estimated to be <7% for those aged <10 years for both primary and secondary infections, but increased as patients become older, reaching to 8–11% by the age of 20 years.</p> <h3>Conclusions/Significance</h3><p>For both primary and secondary infections, higher age at DENV infection was shown to result in higher risk of clinical attack. Age as an important modulator of clinical dengue explains recent increase in dengue notifications in ageing countries in Southeast Asia, and moreover, poses a paradoxical problem of an increase in adult patients resulting from a decline in the force of infection, which may be caused by various factors including time-dependent variations in epidemiological, ecological and demographic dynamics.</p> </div>", "links"=>[], "tags"=>["age-specificity", "dengue", "infections"], "article_id"=>135760, "categories"=>["Mathematics", "Biotechnology"], "users"=>["Khoa T. D. Thai", "Hiroshi Nishiura", "Phuong Lan Hoang", "Nga Thanh Thi Tran", "Giao Trong Phan", "Hung Quoc Le", "Binh Quang Tran", "Nam Van Nguyen", "Peter J. de Vries"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0001180.s001", "https://dx.doi.org/10.1371/journal.pntd.0001180.s002", "https://dx.doi.org/10.1371/journal.pntd.0001180.s003", "https://dx.doi.org/10.1371/journal.pntd.0001180.s004"], "stats"=>{"downloads"=>6, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Age_Specificity_of_Clinical_Dengue_during_Primary_and_Secondary_Infections/135760", "title"=>"Age-Specificity of Clinical Dengue during Primary and Secondary Infections", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-06-21 01:36:00"}
• {"files"=>["https://ndownloader.figshare.com/files/763448"], "description"=>"<p>All panels examine the age-specific risks of developing clinical attacks of dengue given secondary or tertiary infection. (A & C) Weibull model. (B & D) Exponential model. A & B examines the sensitivity of the risk to different number of co-circulating serotypes (<i>α</i>, the range: 2.5 and 4.0). We assume that human hosts experience an identical risk of infection between serotypes. The baseline value of <i>α</i> was set at 3.5. C & D examines the sensitivity of the probability to different mean durations of cross-protective immunity following primary and secondary infections (1/<i>δ</i>, the range: 10 days to 1 year). The duration of cross-protection following primary infection was assumed as identical to that following secondary infection. The baseline value of 1/<i>δ</i> was set at 1 month. Results from the logit model are not shown, because the qualitative patterns are similar to those of Weibull model. Also, the sensitivity of the risk of symptomatic disease during primary infection is not shown, because the probability is not sensitive to variations in <i>α</i> and <i>δ</i>.</p>", "links"=>[], "tags"=>["conditional", "symptomatic", "dengue"], "article_id"=>433815, "categories"=>["Mathematics", "Biotechnology"], "users"=>["Khoa T. D. Thai", "Hiroshi Nishiura", "Phuong Lan Hoang", "Nga Thanh Thi Tran", "Giao Trong Phan", "Hung Quoc Le", "Binh Quang Tran", "Nam Van Nguyen", "Peter J. de Vries"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001180.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sensitivity_of_the_conditional_risk_of_symptomatic_dengue_disease_given_infection_to_uncertain_parameters_/433815", "title"=>"Sensitivity of the conditional risk of symptomatic dengue disease given infection to uncertain parameters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-21 01:03:35"}
• {"files"=>["https://ndownloader.figshare.com/files/763217"], "description"=>"<p>Each compartment represents an age-specific state of DENV infection. <i>S</i>_i(<i>a</i>) is the proportion of susceptible individuals who are at risk of infection by the serotypes that remain (<i>α</i>-<i>i</i>) after previous infections at age <i>a</i> (for <i>i</i> = 0, 1 and 2). <i>I</i>_i(<i>a</i>) represents the proportion of those who have experienced infections with <i>i</i>-th serotype and remain still protected against the remaining heterologous serotypes due to short-lived cross-protective immunity. At age 0, <i>S</i>₀(0) = 1 and other compartments are 0. <i>λ</i> is the force of infection, i.e. the rate at which susceptible individuals experience infection, for a single serotype. <i>α</i> is a scaling factor which can be interpreted as the number of co-circulating serotypes. We assume that human hosts experience an identical risk of infection between heterologous serotypes. <i>δ</i> is the rate at which cross-protective immunity against remaining heterologous serotypes declines. Infection with a fourth serotype is ignored, because it is very uncommon.</p>", "links"=>[], "tags"=>["denv"], "article_id"=>433588, "categories"=>["Mathematics", "Biotechnology"], "users"=>["Khoa T. D. Thai", "Hiroshi Nishiura", "Phuong Lan Hoang", "Nga Thanh Thi Tran", "Giao Trong Phan", "Hung Quoc Le", "Binh Quang Tran", "Nam Van Nguyen", "Peter J. de Vries"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001180.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sequential_transmission_dynamics_of_DENV_infection_/433588", "title"=>"Sequential transmission dynamics of DENV infection.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-21 00:59:48"}
• {"files"=>["https://ndownloader.figshare.com/files/763293"], "description"=>"<p>(A) Age-specific population size (circles). The continuous line shows the predicted age-distribution by employing an exponential distribution as the survivorship function. (B) Age-specific seroprevalence against at least one serotype of dengue among those aged from 7–14 years (data source; <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001180#pntd.0001180-Thai2\" target=\"_blank\">[20]</a>). The continuous line shows the predicted proportion positive using the maximum likelihood estimate of the force of infection (i.e. 11.7% per year). (C& D) Observed absolute numbers of clinical attack of dengue during (C) primary and (D) secondary or tertiary infections. We assume that D does not include any symptomatic dengue subjects due to infection with fourth serotype.</p>", "links"=>[], "tags"=>["epidemiological", "denv", "binh", "thuan"], "article_id"=>433657, "categories"=>["Mathematics", "Biotechnology"], "users"=>["Khoa T. D. Thai", "Hiroshi Nishiura", "Phuong Lan Hoang", "Nga Thanh Thi Tran", "Giao Trong Phan", "Hung Quoc Le", "Binh Quang Tran", "Nam Van Nguyen", "Peter J. de Vries"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001180.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Population_and_the_epidemiological_data_of_DENV_infection_in_Binh_Thuan_province_southern_Vietnam_/433657", "title"=>"Population and the epidemiological data of DENV infection in Binh Thuan province, southern Vietnam.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-21 01:00:57"}
• {"files"=>["https://ndownloader.figshare.com/files/763363"], "description"=>"<p>(A) Age-specific frequency of primary (thin solid line), secondary (thick solid line) and tertiary infections (dashed line). The frequencies are characterized by the force of infection, the mean duration of cross-protective immunity and the number of co-circulating serotypes. (B) Age-specific probability of developing clinical attacks of dengue given primary (thick lines) and secondary or tertiary infection (thin lines). The continuous lines represent the results employing Weibull model, while broken lines are the estimates based on exponential model. (C & D) Comparisons between observed and expected age-specific numbers of clinical attacks during (C) primary and (D) secondary or tertiary infections. Three different models, logit (thin continuous lines; <i>k</i> = 0.200, <i>p</i>₀ = 0.224×10⁻³, <i>r</i> = 0.971), Weibull (dashed lines; <i>k</i> = 0.259×10⁻³, <i>r</i> = 3.991) and exponential (thick continuous lines; <i>k</i> = 0.324×10⁻⁴) approaches were employed.</p>", "links"=>[], "tags"=>["dengue"], "article_id"=>433729, "categories"=>["Mathematics", "Biotechnology"], "users"=>["Khoa T. D. Thai", "Hiroshi Nishiura", "Phuong Lan Hoang", "Nga Thanh Thi Tran", "Giao Trong Phan", "Hung Quoc Le", "Binh Quang Tran", "Nam Van Nguyen", "Peter J. de Vries"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001180.g003", "stats"=>{"downloads"=>4, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Epidemiological_dynamics_of_dengue_infection_/433729", "title"=>"Epidemiological dynamics of dengue infection.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-21 01:02:09"}

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F1000Prime