This paper is in the following e-collection/theme issue:

Public Health Surveillance Practice (163) Influenza and Influenza-Like-Illness (ILI) Surveillance (217)

Published on in Vol 9, No 2 (2017):

Modeling and Forecasting Influenza-like Illness (ILI) in Houston, Texas Using Three Surveillance Data Capture Mechanisms

Modeling and Forecasting Influenza-like Illness (ILI) in Houston, Texas Using Three Surveillance Data Capture Mechanisms

Modeling and Forecasting Influenza-like Illness (ILI) in Houston, Texas Using Three Surveillance Data Capture Mechanisms

Authors of this article:

Susannah Paul1 ;   Osaro Mgbere2 ;   Raouf Arafat3 ;   Biru Yang3 ;   Euncie Santos3
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. Wang Y, Wang L, Ma W, Zhao H, Han X, Zhao X. Development of a novel dynamic nosocomial infection risk management method for COVID-19 in outpatient settings. BMC Infectious Diseases 2024;24(1) View
  2. Wang A, Dara R, Yousefinaghani S, Maier E, Sharif S. A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception. Big Data and Cognitive Computing 2023;7(2):72 View
  3. Choi S, Kim J, Ahn I, Zhang J. Forecasting type-specific seasonal influenza after 26 weeks in the United States using influenza activities in other countries. PLOS ONE 2019;14(11):e0220423 View
  4. Wang Z, Ntambara J, Lu Y, Dai W, Meng R, Qian D. Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong. Current Medical Science 2022;42(1):226 View
  5. Liu W, Dai Q, Bao J, Shen W, Wu Y, Shi Y, Xu K, Hu J, Bao C, Huo X. Influenza activity prediction using meteorological factors in a warm temperate to subtropical transitional zone, Eastern China. Epidemiology and Infection 2019;147 View
  6. Cheng H, Wu Y, Lin M, Liu Y, Tsai Y, Wu J, Pan K, Ke C, Chen C, Liu D, Lin I, Chuang J. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study. Journal of Medical Internet Research 2020;22(8):e15394 View
  7. Soto-Ramírez N, Odeku J, Foxe C, Flynn C, Tester D. Applying time series modeling to assess the dynamics and forecast monthly reports of abuse, neglect and/or exploitation involving a vulnerable adult. Archives of Public Health 2020;78(1) View
  8. Hussain M, Tewari D. Social media applications in biomedical research. Exploration of Digital Health Technologies 2024:167 View