Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Smallpox models as policy tools.

F Ellis McKenzie1

  • 1Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA. mckenzel@mail.nih.gov

Emerging Infectious Diseases
|November 20, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypoxia Tolerance in Twelve Species of East African Cichlids: Potential for Low Oxygen Refugia in Lake Victoria.

Conservation biology : the journal of the Society for Conservation Biology·2021
Same author

The contribution of agricultural insecticide use to increasing insecticide resistance in African malaria vectors.

Malaria journal·2016
Same author

Vectorial capacity and vector control: reconsidering sensitivity to parameters for malaria elimination.

Transactions of the Royal Society of Tropical Medicine and Hygiene·2016
Same author

Adult vector control, mosquito ecology and malaria transmission.

International health·2015
Same author

Influenza forecasting in human populations: a scoping review.

PloS one·2014
Same author

Host immune constraints on malaria transmission: insights from population biology of within-host parasites.

Malaria journal·2013
Same journal

Detection of and Early Genomic Insights into Chikungunya Virus, Bolivia, 2025.

Emerging infectious diseases·2026
Same journal

Household Transmission of Enterovirus D68, Washington and Oregon, United States, 2022-2024.

Emerging infectious diseases·2026
Same journal

New World Ocular Dirofilariasis Caused by Dirofilaria repens Infection, United States.

Emerging infectious diseases·2026
Same journal

Angiostrongylus cantonensis Rat Lungworm Detected in Rats, Madagascar, 2022-2023.

Emerging infectious diseases·2026
Same journal

Human Pulmonary Dirofilariasis,
North Queensland, Australia, 2023<sup>1</sup>.

Emerging infectious diseases·2026
Same journal

Trends in Congenital Syphilis Cases by Maternal Country of Birth, Spain, 2016-2024.

Emerging infectious diseases·2026
See all related articles

Mathematical models aid bioterrorism preparedness by clarifying strengths and weaknesses. Collaboration between modelers, epidemiologists, and policy experts ensures robust strategies for public health emergencies.

Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health Policy

Background:

  • Bioterrorism preparedness requires effective tools for response planning.
  • Mathematical models offer potential for simulating bioterrorism scenarios.
  • Understanding model limitations is crucial for reliable predictions.

Purpose of the Study:

  • To develop and refine mathematical models for bioterrorism preparedness.
  • To facilitate collaboration between diverse experts in the field.
  • To standardize model parameters and outcomes for comparative analysis.

Main Methods:

  • Initiatives within the Department of Health and Human Services fostered interdisciplinary collaboration.
  • Parallel development of models with varied technical approaches.

Related Experiment Videos

  • Standardization of scenarios, parameter ranges, and outcome measures across models.

    • Main Results:

    • Models were developed with different technical approaches but shared standardized elements.
    • Cross-disciplinary interactions improved model focus and utility.
    • Models aid in comparing intervention strategies and identifying knowledge gaps.

    Conclusions:

    • Mathematical models are valuable tools for bioterrorism preparedness and response.
    • Interdisciplinary collaboration is key to developing effective and reliable models.
    • Continued research is needed to address identified knowledge gaps in bioterrorism modeling.