epidemix—An interactive multi-model application for teaching and visualizing infectious disease transmission

Muellner, Ulrich; Fournié, Guillaume; Muellner, Petra; Ahlstrom, Christina A.; Pfeiffer, Dirk U.

doi:10.1016/j.epidem.2017.12.003

Cited by 17 publications

(14 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…e key of the multimodel algorithm is to use multiple motion models to track the target, obtain the degree of adaptation between the actual motion state of the target and each model according to the calculated likelihood function, and then combine the weight values updated by each filter to weighted summation to obtain the final target state output result. With the development and innovation of interactive multimodel algorithm (IMM) algorithm [14] theoretical knowledge, the general recursive process of the IMM algorithm can be divided into three modules, namely, hybrid probability calculation, model mixing, and model matching filtering. e sum model probability is updated, and then the final filtering result is output through state and covariance estimation.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

Du¹,

Ao²,

2021

Complexity

View full text Add to dashboard Cite

The original target tracking algorithm based on a single model has long been unable to meet the complex and changeable characteristics of the target, and then there are problems such as poor tracking accuracy, target loss, and model mismatch. The interactive multimodel algorithm uses multiple motion models to track the target, obtains the degree of adaptation between the actual motion state of the target and each model according to the calculated likelihood function, and then combines the updated weight values of each filter to obtain a weighted sum. Therefore, the interactive multimodel algorithm can achieve better performance. This paper proposes an improved interactive multimodel algorithm that can achieve player tracking and trajectory feature matching. First, this paper proposes an improved Kalman filtering (IKF) algorithm. This method is developed from the unbiased conversion measurement Kalman filter, which can obtain more accurate target state and covariance estimation. Secondly, using the parallel processing mode of the IMM algorithm to efficiently solve the data association between multiple filters, the IMM-IKF model is proposed. Finally, in order to solve the problem of low computational efficiency and high mismatch rate in image feature point matching, a method of introducing a minimum spanning tree in two-view matching is proposed. Experimental results show that the improved IMM-IKF algorithm can quickly respond to changes in the target state and can find the matching path with the lowest matching cost. In the case of ensuring the matching accuracy, the real-time performance of image matching is ensured.

show abstract

Section: Related Workmentioning

confidence: 99%

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

Du¹,

Ao²,

2021

Complexity

View full text Add to dashboard Cite

show abstract

“…In addition, the recent development of the shiny package made easier the development of web applications from within R, and consequently a number of shiny apps for the epidemiology of infectious diseases have been lately developed [25][26][27][28][29][30]. However, a more extended web platform managing different datasets, and which takes into consideration proper analytical tools for a complete epidemiological assessment of disease surveillance data, is still lacking.…”

Section: Discussionmentioning

confidence: 99%

EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data

et al. 2019

View full text Add to dashboard Cite

Emerging and re-emerging infectious diseases are a significant public and animal health threat. In some zoonosis, the early detection of virus spread in animals is a crucial early warning for humans. The analyses of animal surveillance data are therefore of paramount importance for public health authorities to identify the appropriate control measure and intervention strategies in case of epidemics. The interaction among host, vectors, pathogen and environment require the analysis of more complex and diverse data coming from different sources. There is a wide range of spatiotemporal methods that can be applied as a surveillance tool for cluster detection, identification of risk areas and risk factors and disease transmission pattern evaluation. However, despite the growing effort, most of the recent integrated applications still lack of managing simultaneously different datasets and at the same time making available an analytical tool for a complete epidemiological assessment. In this paper, we present EpiExploreR, a user-friendly, flexible, R-Shiny web application. EpiExploreR provides tools integrating common approaches to analyze spatiotemporal data on animal diseases in Italy, including notified outbreaks, surveillance of vectors, animal movements data and remotely sensed data. Data exploration and analysis results are displayed through an interactive map, tables and graphs. EpiExploreR is addressed to scientists and researchers, including public and animal health professionals wishing to test hypotheses and explore data on surveillance activities.Microorganisms 2019, 7, 680 2 of 23 environmental component involves the use of data, which although widely available nowadays, are unstructured and extremely large.All this makes such data of limited use if not converted through proper data management and analytical methods that can handle the heterogeneous datasets, transforming these into information useful to decision and policy makers [12,13].However, as new data and computational resources have become available, a wide range of spatial and spatiotemporal methods have been developed for early outbreak detection, cluster detection, identification of risk areas and risk factors and disease transmission pattern evaluation [14][15][16][17]. The application of these increasingly complex statistical methods is fortunately facilitated by the growing development of the open-source community, among which the most widespread and popular is certainly R [18], a programming language and free software environment for statistical computing and graphics. Several R-packages (e.g., surveillance, sp, rSaTScan, network, tsna, igraph) [19][20][21][22][23][24] have been made available to researchers, but their use still requires adequate programming and statistical skills to write down codes and to perform the analysis effectively.To overcome this lack in technical skills, desktop and web applications have been developed, providing analysis tools ready to use for researchers and public and animal health professionals [25-30]. Among ...

show abstract

“…The second software used in this paper is Epidemix 2 ( 55 ), which is a simplified software for teaching and demonstration purposes. It uses a visual interface to access eight models of epidemics without dealing with the details of mathematical equations and program code.…”

Section: Methodsmentioning

confidence: 99%

Challenges and Controversies in COVID-19: Masking the General Population may Attenuate This Pandemic's Outbreak

Johansson

2021

Front. Public Health

View full text Add to dashboard Cite

SARS-CoV-2, the virus that causes COVID-19, spreads i. a., by respiratory droplets. The use of masks in preventing spread is controversial; masks are considered useless by many, while being mandated in some locations. Here, the effect of masking the general population on a COVID-19-like epidemic is estimated by computer simulation using three separate types of software. The main questions are whether mask use by the general population can limit the spread of SARS-CoV-2 in a country and how to identify opportunities when mask use is cost-effective and safe. To address these questions, the protective effects of different types of masks, the side-effects of masks, and avenues for improvements of masks and masking are addressed. Main results: (i) Any type of mask, even simple home-made ones, may be of value, even if the protective effect of each mask (here dubbed “one mask-protection”) is low. Strict adherence to mask use does not appear to be critical but increasing one mask-protection to >50% was found to be advantageous. (ii) Masks do seem to reduce the number of new cases even if introduced at a late stage in an epidemic, but early implementation helps reduce the cumulative and total number of cases. (iii) The simulations suggest that it might be possible to eliminate a COVID-19 outbreak by widespread mask use during a limited period. There is a brief discussion of why the reported effect size of masking varies widely, and is expected to do so, because of different filtration abilities of different masks, differences in compliance and fitting, other routes of transmission, pre-existing immunity, and because a system of interconnected, disease-prone individuals has non-linear properties. A software solution to visualize infection spread is presented. The results from these simulations are encouraging, but do not necessarily represent the real-life situation, so it is suggested that clinical trials of masks are now carried out while continuously monitoring effects and side-effects. As mask use is not without risks and costs, it is suggested that governments and scientists have an important role in advising the public about the sensible use of masks.

show abstract

epidemix—An interactive multi-model application for teaching and visualizing infectious disease transmission

Cited by 17 publications

References 16 publications

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data

Challenges and Controversies in COVID-19: Masking the General Population may Attenuate This Pandemic's Outbreak

Contact Info

Product

Resources

About