Rumor surveillance methods in outbreaks: A systematic literature review

Simin Salehinejad ¹, Parya Jangipour Afshar ², Vahidreza Borhaninejad ³ *

Cited by CrossRef: 5

1- Zhang L, Huang G, Khan M. A Hybrid Approach for Network Rumor Detection Based on Attention Mechanism and Bidirectional GRU Model in Big Data Environment. Mobile Information Systems. 2022;2022:1 [Crossref]

2- Kamara S, Kowuor D, Samura S, Jambai A, Dewey B, Kosia B, Balogun O, Kaluma E, Bernard E, Bah A, Ameh S, Whitney C, Breiman R, Ogbuanu I. Laying the foundations for high-quality mortality surveillance in Sierra Leone: Early learnings from the Child Health and Mortality Prevention Surveillance (CHAMPS) Network. Gates Open Res. 2024;8:98 [Crossref]

3- Vicari R, Komendatova N. Systematic meta-analysis of research on AI tools to deal with misinformation on social media during natural and anthropogenic hazards and disasters. Humanit Soc Sci Commun. 2023;10(1) [Crossref]

4- Morris R, Wang S. Building a pathway to One Health surveillance and response in Asian countries. Science in One Health. 2024;3:100067 [Crossref]

5- Minami Y, Takaki H, Yamakado K, Kudo M. How Compatible Are Immune Checkpoint Inhibitors and Thermal Ablation for Liver Metastases?. Cancers. 2022;14(9):2206 [Crossref]

6- McAndrew T, Majumder M, Lover A, Venkatramanan S, Bocchini P, Besiroglu T, Codi A, Braun D, Dempsey G, Abbott S, Chevalier S, Bosse N, Cambeiro J. Early human judgment forecasts of human monkeypox, May 2022. The Lancet Digital Health. 2022;4(8):e569 [Crossref]