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 Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

301
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
301
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

163
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
163
Causality in Epidemiology01:21

Causality in Epidemiology

1.2K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.2K
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

132
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
132

You might also read

Related Articles

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

Sort by
Same author

Large-scale genomic surveillance reveals immunosuppression drives mutation dynamics in persistent SARS-CoV-2 infections.

Nature communications·2026
Same author

Geographical Variation in Antimalarial Drug Resistance Marker Prevalence Across the Southern African Elimination Eight Region.

medRxiv : the preprint server for health sciences·2026
Same author

Uncovering latent urban mobility patterns via smart-card and survey data fusion.

Nature communications·2026
Same author

Global approaches to infectious disease surveillance and modeling.

Nature medicine·2026
Same author

The burden of malaria-attributable maternal anaemia and the impact of preventive treatment across sub-Saharan Africa.

Nature health·2026
Same author

Interactions of SARS-CoV-2, influenza and respiratory syncytial virus influence epidemic timing and risk.

Communications medicine·2026

Related Experiment Video

Updated: Nov 10, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.6K

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings.

H Juliette T Unwin1, Isobel Routledge1,2, Seth Flaxman3

  • 1MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College, London, United Kingdom.

Plos Computational Biology
|April 1, 2021
PubMed
Summary

This study introduces Hawkes Processes to model malaria transmission, improving outbreak forecasting and policy development. The method distinguishes imported and community-based cases for better infectious disease control.

More Related Videos

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

9.0K
An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

20.1K

Related Experiment Videos

Last Updated: Nov 10, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.6K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

9.0K
An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

20.1K

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Public Health

Background:

  • Developing effective infectious disease outbreak models is crucial for transmission monitoring and policy.
  • Traditional models may not fully capture complex transmission dynamics in near-elimination settings.

Purpose of the Study:

  • To propose and evaluate semi-mechanistic Hawkes Processes for modeling malaria transmission in near-elimination contexts.
  • To demonstrate the utility of Hawkes Processes in recreating and forecasting disease spread.
  • To differentiate between imported and community-acquired malaria cases.

Main Methods:

  • Application of semi-mechanistic Hawkes Processes, a blend of statistical and mechanistic modeling.
  • Utilizing domain-specific knowledge to tailor the model for malaria transmission.
  • Recreating historical malaria transmission curves using real-world data.

Main Results:

  • Successfully modeled malaria transmission curves in China and Eswatini.
  • Effectively disentangled the proportion of imported versus community-based malaria cases.
  • Demonstrated the potential of Hawkes Processes beyond malaria outbreak scenarios.

Conclusions:

  • Semi-mechanistic Hawkes Processes offer a robust framework for infectious disease modeling, particularly in near-elimination settings.
  • This approach enhances the understanding of disease importation and local transmission dynamics.
  • Hawkes Processes represent a promising, underutilized tool for epidemiological research and public health policy.