Contributed Papers

Infectious Disease Epidemiology

Mon, Aug 4, 8:30 AM - 10:20 AM Room CC-202A Music City Center

Section on Statistics in Epidemiology

6 Presentations

A GRU-CNN Hybrid Model for Forecasting Influenza-Like Illnesses

8:35 AM - 8:50 AM

Co-authors: Anjana Yatawara (Missouri University of Science and Technology), Isuru Ratnayake (Kansas University Medical Center), Anjana Yatawara (Missouri University of Science and Technology), Noah Gallego (Research student, computer science specialist), Tom Regpala (Research student, computer science specialist)

Deep learning Influenza-like illness INGARCH INGARCHX LSTM CO,NO2, O3, PM2.5, PM10, SO2

Bayesian inference on Covid-19 disease progression using a modified SEIR model

8:50 AM - 9:05 AM

Co-authors: Paromita Banerjee (John Carroll University), Paromita Banerjee (John Carroll University), Anirban Mondal (Case Western Reserve University)

Bayesian inference Infectious disease modeling Markov chain Monte Carlo compartmental SEIR model

Does Spatial Information Improve Forecasting of Influenza-like Illness?

9:05 AM - 9:20 AM

Co-authors: Gabrielle Thivierge (Carnegie Mellon University), Gabrielle Thivierge (Carnegie Mellon University), Aaron Rumack (Carnegie Mellon University), Will Townes (Carnegie Mellon University)

Forecasting Spatial Influenza-like Illness Autoregressive Infectious Disease

Sequence-Based Transmission Modelling of SARS-CoV-2: A Tree-Free Approach Using Hamming Distance

9:20 AM - 9:35 AM

Co-authors: Ian Murphy, Ian Murphy

Infectious disease COVID-19 Statistical Modelling Hamming distance Spatial transmission

Identifying the Spread Mechanism of Animal Infectious Diseases by Time-to-event Data

9:35 AM - 9:50 AM

Co-authors: Wenhao Chen (The Chinese University of Hong Kong, Shenzhen), Xuening Zhu (Fudan University), Wenhao Chen (The Chinese University of Hong Kong, Shenzhen), Fangda Song (The Chinese University of Hong Kong, Shenzhen)

Dynamic Network Hawkes Process EM algorithm Disease Spread

Impacts of extreme precipitation on outbreak of cryptosporidiosis risk in Tennessee, 2012- 2021

9:50 AM - 10:05 AM

Co-authors: Ramanjit Sahi (Austin Peay State University), Ramanjit Sahi (Austin Peay State University), Mary Akinyemi (Austin Peay State University), Aida Gueye (Austin Peay State University), Laina Skaggs (Austin Peay State University), Chloe Hemmelgarn (Austin Peay State University), Megan Oelgoetz (Austin Peay State University)

Distributed Lag Models Time Series Precipitation Cryptosporidiosis Predictive Analysis R