User:Charteri

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Please click on the tab headings to navigate betweeen tabs.| We generally recommend a single dose response model, and we justify the decision in terms of these criteria. This decision is somewhat subjective, since dose response datasets seldom meet all of these criteria. If all available models are unsatisfactory, we choose a single model to ‘recommend with reservations’. Our recommended model will seldom (if ever) be the best model for all applications. The user should carefully choose the model that is most appropriate for their particular problem.
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Agent Best fit model* Optimized parameter(s) LD50/ID50 Host type Agent strain Route # of doses Dose units Response Reference
Bacillus Anthracis: Feeding Experiments {{{11}}}
Bacillus anthracis {{{11}}}
Bacillus anthracis: Dose Response Models {{{11}}}
Burkholderia {{{11}}}
Burkholderia pseudomallei: Dose Response Models {{{11}}}
Campylobacter jejuni {{{11}}}
Campylobacter jejuni and Campylobacter coli: Dose Response Models {{{11}}}
Coxiella burnetii {{{11}}}
Coxiella burnetii: Dose Response Models {{{11}}}
Cyanobacteria {{{11}}}
Enterohemorrhagic Escherichia coli (EHEC) {{{11}}}
Escherichia coli {{{11}}}
Escherichia coli enterohemorrhagic (EHEC): Dose Response Models {{{11}}}
Escherichia coli: Dose Response Models {{{11}}}
Francisella tularensis {{{11}}}
Francisella tularensis: Dose Response Models {{{11}}}
Legionella pneumophila {{{11}}}
Legionella pneumophila: Dose Response Models {{{11}}}
Listeria monocytogenes {{{11}}}
Listeria monocytogenes (Death as response): Dose Response Models {{{11}}}
Listeria monocytogenes (Infection): Dose Response Models {{{11}}}
Listeria monocytogenes (Stillbirths): Dose Response Models {{{11}}}
Mycobacterium avium {{{11}}}
Mycobacterium avium: Dose Response Models {{{11}}}
Pseudomonas aeruginosa {{{11}}}
Pseudomonas aeruginosa (Contact lens): Dose Response Models {{{11}}}
Pseudomonas aeruginosa (bacterimia): Dose Response Models {{{11}}}
Rickettsia rickettsi: Dose Response Models {{{11}}}
Rickettsia rickettsii {{{11}}}
Salmonella {{{11}}}
Salmonella Typhi: Dose Response Models {{{11}}}
Salmonella anatum: Dose Response Models {{{11}}}
Salmonella enterica (nontyphoid) {{{11}}}
Salmonella meleagridis: Dose Response Models {{{11}}}
Salmonella nontyphoid: Dose Response Models {{{11}}}
Salmonella serotype newport: Dose Response Models {{{11}}}
Shigella sp. {{{11}}}
Shigella: Dose Response Models {{{11}}}
Staphylococcus aureus: Dose Response Models {{{11}}}
Staphylococcus ayreus {{{11}}}
TestPage {{{11}}}
Variola major {{{11}}}
Variola major: Dose Response Models {{{11}}}
Vibrio cholerae {{{11}}}
Vibrio cholerae: Dose Response Models {{{11}}}
Yersinia pestis {{{11}}}
Yersinia pestis: Dose Response Models {{{11}}}
*These models are preferred in most circumstances. However, consider all available models to decide which one is most appropriate for your analysis.
  • "[Recommended DR Model" contains the "[" character as part of a property label and has been classified as invalid.
  • The part "]]" of the query was not understood. Results might not be as expected.
Agent Best fit model* Optimized parameter(s) LD50/ID50 Host type Agent strain Route # of doses Dose units Response Reference
Adenovirus
Adenovirus: Dose Response Models
Astrovirus
Coxsackievirus
Echovirus
Echovirus: Dose Response Models
Enterovirus
Enteroviruses
Enteroviruses: Dose Response Models
Hepatitis A
Influenza virus
Influenza: Dose Response Models
Lassa virus
Lassa virus: Dose Response Models
Norovirus
Parainfluenza virus
Poliovirus
Poliovirus: Dose Response Models
Respiratory syncytial virus
Rhinovirus
Rhinovirus: Dose Response Models
Rotavirus
Rotavirus: Dose Response Models
Rubella virus
SARS coronavirus
SARS: Dose Response Models
*These models are preferred in most circumstances. However, consider all available models to decide which one is most appropriate for your analysis.
  • "[Recommended DR Model" contains the "[" character as part of a property label and has been classified as invalid.
  • The part "]]" of the query was not understood. Results might not be as expected.
Agent Best fit model* Optimized parameter(s) LD50/ID50 Host type Agent strain Route # of doses Dose units Response Reference
Acanthamoeba
Acanthamoeba Keratitis: Dose Response Models
Acanthamoeba spp: Dose Response Models
Aeromonas hydrophila
Cryptosporidium hominis
Cryptosporidium parvum
Cryptosporidium parvum and Cryptosporidium hominis: Dose Response Models
Endamoeba coli
Endamoeba coli: Dose Response Models
Entamoeba coli
Giardia duodenalis
Giardia duodenalis: Dose Response Models
Naegleria fowleri
Naegleria fowleri: Dose Response Models
*These models are preferred in most circumstances. However, consider all available models to decide which one is most appropriate for your analysis.
  • "[Recommended DR Model" contains the "[" character as part of a property label and has been classified as invalid.
  • The part "]]" of the query was not understood. Results might not be as expected.
Agent Best fit model* Optimized parameter(s) LD50/ID50 Host type Agent strain Route # of doses Dose units Response Reference
PrP prion
PrP prions: Dose Response Models
*These models are preferred in most circumstances. However, consider all available models to decide which one is most appropriate for your analysis.
  • "[Recommended DR Model" contains the "[" character as part of a property label and has been classified as invalid.
  • The part "]]" of the query was not understood. Results might not be as expected.

We prefer dose response models with the following criteria, in rough order of importance:

  1. Statistically acceptable fit (fail to reject goodness of fit, p > 0.05)
  2. Human subjects, or animal models that mimic human pathophysiology well
  3. Infection as the response, rather than disease, symptoms, or death
  4. Exposure route similar/identical to the exposure route of natural infection
  5. Pathogen strain is similar to strains causing natural infection
  6. Pooled model using data from 2 or more experiments, provided the data sets are statistically similar (fail to reject that datasets are from the same distribution, p > 0.05)
  7. Low ID50/LD50 (to obtain a conservative risk estimate)

We generally recommend a single dose response model, and we justify the decision in terms of the above criteria. This decision is somewhat subjective, since dose response datasets seldom meet all of these criteria. If all available models are unsatisfactory, we choose a single model to ‘recommend with reservations’. Our recommended model will seldom (if ever) be the best model for all applications. The user should carefully choose the model that is most appropriate for their particular problem.