Seventy-five years of estimating the force of infection from current status data.
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Reconstruction of Rift Valley fever transmission dynamics in Madagascar: estimation of force of infection from seroprevalence surveys using Bayesian modellingSerotype-Specific Transmission and Waning Immunity of Endemic Foot-and-Mouth Disease Virus in CameroonData-Driven Models of Foot-and-Mouth Disease Dynamics: A Review.Inferring infection hazard in wildlife populations by linking data across individual and population scales.Identifying the age cohort responsible for transmission in a natural outbreak of Bordetella bronchisepticaEstimating Loss of Brucella Abortus Antibodies from Age-Specific Serological Data In Elk.Time-varying, serotype-specific force of infection of dengue virus.Estimating the force of infection for HCV in injecting drug users using interval-censored data.Lexis diagram and illness-death model: simulating populations in chronic disease epidemiology.Epidemiology of and impact of insecticide spraying on Chagas disease in communities in the Bolivian Chaco.Dynamics of the force of infection: insights from Echinococcus multilocularis infection in foxes.A dynamic transmission model with age-dependent infectiousness and reactivation for cytomegalovirus in the United States: Potential impact of vaccination strategies on congenital infection.Sample size and power calculations for detecting changes in malaria transmission using antibody seroconversion rate.A systematic review of varicella seroprevalence in European countries before universal childhood immunization: deriving incidence from seroprevalence dataEstimating age-time-dependent malaria force of infection accounting for unobserved heterogeneity.Seroepidemiology of Toxoplasma in a coastal region of Haiti: multiplex bead assay detection of immunoglobulin G antibodies that recognize the SAG2A antigen.Revisiting Rayong: shifting seroprofiles of dengue in Thailand and their implications for transmission and control.Extracting information from S-curves of language changeDeriving age-specific incidence from prevalence with an ordinary differential equation.Modelling historical changes in the force-of-infection of Chagas disease to inform control and elimination programmes: application in Colombia.Host size and proximity to diseased neighbours drive the spread of a coral disease outbreak in Hawai'i.Force of infection of Helicobacter pylori in Mexico: evidence from a national survey using a hierarchical Bayesian model.Modelling time varying heterogeneity in recurrent infection processes: an application to serological data.Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design.An application of Bayesian growth mixture modelling to estimate infection incidences from repeated serological testsIllness-Death Model in Chronic Disease Epidemiology: Characteristics of a Related, Differential Equation and an Inverse Problem
P2860
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P2860
Seventy-five years of estimating the force of infection from current status data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Seventy-five years of estimating the force of infection from current status data.
@ast
Seventy-five years of estimating the force of infection from current status data.
@en
type
label
Seventy-five years of estimating the force of infection from current status data.
@ast
Seventy-five years of estimating the force of infection from current status data.
@en
prefLabel
Seventy-five years of estimating the force of infection from current status data.
@ast
Seventy-five years of estimating the force of infection from current status data.
@en
P2093
P2860
P1476
Seventy-five years of estimating the force of infection from current status data.
@en
P2093
P2860
P304
P356
10.1017/S0950268809990781
P577
2009-09-21T00:00:00Z