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PANDEMICS ANALYTICS 2022 : International Conference on Pandemics Analytics


When Jul 18, 2022 - Jul 22, 2022
Where Nice, France
Submission Deadline Apr 10, 2022
Notification Due May 18, 2022
Final Version Due Jun 8, 2022
Categories    models   prediction   pandemic   COVID

Call For Papers



Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- PANDEMICS ANALYTICS 2022, International Conference on Pandemics Analytics

PANDEMICS ANALYTICS 2022 is scheduled to be July 18 - 22, 2022 in Nice, Saint-Laurent-du-Var, France under the SocSys 2022 umbrella.

The submission deadline is April 10, 2022.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals:

All events will be held in a hybrid mode: on site, online, prerecorded videos, voiced presentation slides, pdf slides.


============== PANDEMICS ANALYTICS 2022 | Call for Papers ===============


PANDEMICS ANALYTICS 2022, International Conference on Pandemics Analytics

General page:

Submission page:

Event schedule: July 18 - 22, 2022


- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at]

- presentations: slide only [slide-deck posted at]

- demos: two pages [posted at]

Submission deadline: April 10, 2022

Extended versions of selected papers will be published in IARIA Journals:

Print proceedings will be available via Curran Associates, Inc.:

Articles will be archived in the free access ThinkMind Digital Library:

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules:

PANDEMICS ANALYTICS 2022 Topics (for topics and submission details: see CfP on the site)

Call for Papers:


PANDEMICS ANALYTICS 2022 Tracks (topics and submission details: see CfP on the site)

Fundamentals models

From epidemic to pandemic situation theory; Empirical metrics on pandemic disruptions (social, medical, economic, educational); Models for ongoing pandemics (real-time); Predicting pandemic models; Models for pre-pandemic, early pandemic, and late pandemic; Tentative early estimation of causality; Prediction vs preparedness models; Explainability of pandemic models

Models and tools requirements

SIR (S- susceptible, I - infected and R - recovered); Susceptible–Infected–Recovered–Susceptible, Susceptible–Infected; Using Digital Twins approach for simulation; Meta heuristics-based propagation models; Percolation model (state of disorder to another more ordered state); Pandemic branching process with latency model [newly registered and latent cases]; Interactive interface/maps; Big data, Datasets, Artificial Intelligence, Machine learning, and Deep learning; Real-time data visualization; Cross-country visualization data; Cartography software and platforms; Interactive pandemic dashboards; AI-based tools for vaccine distribution and vaccination.

Solutions via coordinated pandemic Data/Datasets

Big Data-based technologies for prevention and control; Evaluation of data reliability and accuracy cross-countries; Obsolete models based on historical data (needs: reinforcement learning and distributed learning); Public and non-public federal spending data sets; Correlation of independent territories worldwide; Identify local and global data inconsistency; Access to consistent real-time health data infrastructure; Models with inconsistent, incomplete, and lagging data; Improvements on real data updates (collection, circulation, and security)

Solutions considering pandemic dynamics

Propagation pandemic models; Propagation forecast and analysis; Contamination frequency; Plateau patterns; Shape pandemic; Pandemic waves; Asymmetrical dynamics of epidemic propagation; Pandemic as chaos models; Individual contact graph

Selection of adequate pandemic metrics

Epidemic transmission parameters; Uncertainty and accuracy in prediction models; Outbreak data and reproduction; Motion, rate, disorder, speed… of particles; Range of reproduction numbers; Geolocation location and mobility data; Proximity tracing for pandemic control; AI-based real-time contact tracking

Models for pandemic severity estimation

Pandemic intensity; Herd immunity and effective reproduction (1--> N); Estimation of basic reproduction; Awareness diffusion in multiplex networks; Susceptibility and infectivity between aware and unaware individuals; Relax the degree of immunization

Preparedness models and required actions

Traveling and pandemic; Highway pandemic-oriented planning; Optimizing locations of medical institutions; Preparing logistics models; Urban models (local) and global preparedness; Types of generation mechanisms of individual awareness

Models for panic model propagation

Pandemic panic propagation model; Models of social response to pandemic; Urban models (local) and global models; Real-time optimization of panic prediction models; Conflicting governmental and agencies analytics

Sustainable IT environments for COVID-19 pandemic

Infrastructure for scalable gathering&processing data (Grid, Cloud, and Virtualized Computing); Scalable and interacting communication infrastructure; AI-driven pandemic preparedness logistics and explainability; Interactive tools for pandemic dynamics; Powerful visualization and online analytics tools; Personalized data interactive interfaces; Real-time data stream classes for virtual collaborations; Personal data protection

Lessons learned from COVID (+) (and counting)

Growth in research collaborations: boom and bust; Experience in short lifecycle vaccine production; Cross-nations logistics (knowhow, supplies, personnel, etc.); Experience online/physical presence classes (intensive use of Digital Connections); Universal observed pattern: re-balance the cooperation team with research teams; Needs for unified data collection standards; Acceleration of global logistics for drug discovery; Alerting: flexibility vs time; Real data-driven decisions; Roles of social network and social media

Lessons learned from COVID (-) (and counting)

Impact on geopolitical tensions; Red-flagged countries and their jurisdictions; Combating propaganda damaging the reliable information; Damage of scientific direct relations due to travel bans and infection/quarantine risks; Anxiety for socializing; aloofness; changes of humankind relationships; Damage the social-cognitive knowledge of the young students; Creation and increase of digital addiction; Roles of social network and social media; Need for digital detoxification; Issues with real-time data (Low efficiency of data collection, Difficulty in guaranteeing data quality, Low efficiency of data use, Lack of timely data sharing, Data privacy protection)



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