Risk assessment for Cryptosporidium: a hierarchical Bayesian analysis of human dose response data.
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Meeting report: Application of genotyping methods to assess risks from cryptosporidium in watersheds.Estimating the burden of acute gastrointestinal illness due to Giardia, Cryptosporidium, Campylobacter, E. coli O157 and norovirus associated with private wells and small water systems in Canada.Risk assessment of arsenic mitigation options in Bangladesh.Critical processes affecting Cryptosporidium oocyst survival in the environment.Infection status of hospitalized diarrheal patients with gastrointestinal protozoa, bacteria, and viruses in the Republic of Korea.Comparison of method 1623 and cell culture-PCR for detection of Cryptosporidium spp. in source waters.The Applicability of TaqMan-Based Quantitative Real-Time PCR Assays for Detecting and Enumerating Cryptosporidium spp. Oocysts in the EnvironmentInferences drawn from a risk assessment compared directly with a randomized trial of a home drinking water interventionA statewide outbreak of Cryptosporidium and its association with the distribution of public swimming pools.Norovirus Dose-Response: Are Currently Available Data Informative Enough to Determine How Susceptible Humans Are to Infection from a Single Virus?Predictive population dose-response assessment for Cryptosporidium parvum: infection endpoint.Waterborne pathogens: detection methods and challenges.A Bibliometric and Trend Analysis on the Water-Related Risk Assessment Studies for Cryptosporidium Pathogen.Dose-response relationships for environmentally mediated infectious disease transmission modelsCryptosporidiosis: environmental, therapeutic, and preventive challenges.Considering the risk of infection by cryptosporidium via consumption of municipally treated drinking water from a surface water source in a Southwestern Ontario community.Cryptosporidium Infection Risk: Results of New Dose-Response Modeling.Development of Dose-Response Models to Predict the Relationship for Human Toxoplasma gondii Infection Associated with Meat Consumption.Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.Molecular identification of Cryptosporidium parvum from avian hosts.Predictive Bayesian microbial dose-response assessment based on suggested self-organization in primary illness response: Cryptosporidium parvum.Comment on "Cryptosporidium Infection Risk: Results of New Dose-Response Modeling" - Discussion of Underlying Assumptions and Their Implications.
P2860
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P2860
Risk assessment for Cryptosporidium: a hierarchical Bayesian analysis of human dose response data.
description
2001 nî lūn-bûn
@nan
2001 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Risk assessment for Cryptospor ...... s of human dose response data.
@ast
Risk assessment for Cryptospor ...... s of human dose response data.
@en
type
label
Risk assessment for Cryptospor ...... s of human dose response data.
@ast
Risk assessment for Cryptospor ...... s of human dose response data.
@en
prefLabel
Risk assessment for Cryptospor ...... s of human dose response data.
@ast
Risk assessment for Cryptospor ...... s of human dose response data.
@en
P2093
P1433
P1476
Risk assessment for Cryptospor ...... s of human dose response data.
@en
P2093
Chappell CL
Messner MJ
Okhuysen PC
P304
P356
10.1016/S0043-1354(01)00119-1
P407
P577
2001-11-01T00:00:00Z