Williams G, Koua E, Abdelmalik P, Kambale F, Kibangou E, Nguna J
BMC Public Health. 2025; 25(1):857.
PMID: 40038598
PMC: 11877865.
DOI: 10.1186/s12889-025-21998-9.
Worsnop C
Int Stud Perspect. 2024; 20(4):344-372.
PMID: 38626279
PMC: 7149472.
DOI: 10.1093/isp/ekz005.
Trevino J, Malik S, Schmidt M
JMIR Infodemiology. 2023; 2(1):e32386.
PMID: 37113800
PMC: 10014085.
DOI: 10.2196/32386.
Sylvestre E, Cecilia-Joseph E, Bouzille G, Najioullah F, Etienne M, Malouines F
JMIR Public Health Surveill. 2022; 8(12):e37122.
PMID: 36548023
PMC: 9816958.
DOI: 10.2196/37122.
Sun H, Zhang Y, Gao G, Wu D
Front Public Health. 2022; 10:958835.
PMID: 36544794
PMC: 9760721.
DOI: 10.3389/fpubh.2022.958835.
The COVID-19 infodemic in Brazil: trends in Google search data.
Harb M, Veiga E Silva L, Vijaykumar N, Silva da Silva M, Frances C
PeerJ. 2022; 10:e13747.
PMID: 35945937
PMC: 9357377.
DOI: 10.7717/peerj.13747.
Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries.
Li J, Huang W, Sia C, Chen Z, Wu T, Wang Q
JMIR Public Health Surveill. 2022; 8(6):e35266.
PMID: 35507921
PMC: 9205424.
DOI: 10.2196/35266.
Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study.
Wang A, McCarron R, Azzam D, Stehli A, Xiong G, DeMartini J
JMIR Ment Health. 2022; 9(3):e35253.
PMID: 35357320
PMC: 9015761.
DOI: 10.2196/35253.
Interest in dentistry in early months of the COVID-19 global pandemic: A Google Trends approach.
Bagci N, Peker I
Health Info Libr J. 2022; 39(3):284-292.
PMID: 35166022
PMC: 9111387.
DOI: 10.1111/hir.12421.
Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review.
Sylvestre E, Joachim C, Cecilia-Joseph E, Bouzille G, Campillo-Gimenez B, Cuggia M
PLoS Negl Trop Dis. 2022; 16(1):e0010056.
PMID: 34995281
PMC: 8740963.
DOI: 10.1371/journal.pntd.0010056.
Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data From a Symptom Assessment App (Ada): Observational Case Study.
Cawley C, Bergey F, Mehl A, Finckh A, Gilsdorf A
JMIR Public Health Surveill. 2021; 7(11):e26523.
PMID: 34734836
PMC: 8722671.
DOI: 10.2196/26523.
Characteristics of the 100 largest modern zoonotic disease outbreaks.
Stephens P, Gottdenker N, Schatz A, Schmidt J, Drake J
Philos Trans R Soc Lond B Biol Sci. 2021; 376(1837):20200535.
PMID: 34538141
PMC: 8450623.
DOI: 10.1098/rstb.2020.0535.
Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019-2020.
Li J, Sia C, Chen Z, Huang W
Int J Environ Res Public Health. 2021; 18(12).
PMID: 34207479
PMC: 8296334.
DOI: 10.3390/ijerph18126591.
Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics.
Arslan J, Benke K
Front Artif Intell. 2021; 4:556848.
PMID: 33733230
PMC: 7878557.
DOI: 10.3389/frai.2021.556848.
Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018.
Prieto Santamaria L, Tunas J, Fernandez Peces-Barba D, Jaramillo A, Cotarelo M, Menasalvas E
Hum Vaccin Immunother. 2021; 18(1):1-16.
PMID: 33662222
PMC: 9128558.
DOI: 10.1080/21645515.2021.1877597.
Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study.
Kammrath Betancor P, Tizek L, Zink A, Reinhard T, Bohringer D
JMIR Public Health Surveill. 2021; 7(3):e22645.
PMID: 33656450
PMC: 7970297.
DOI: 10.2196/22645.
Identifying pre-outbreak signals of hand, foot and mouth disease based on landscape dynamic network marker.
Zhang X, Xie R, Liu Z, Pan Y, Liu R, Chen P
BMC Infect Dis. 2021; 21(Suppl 1):6.
PMID: 33446118
PMC: 7809731.
DOI: 10.1186/s12879-020-05709-w.
What drives disease flows between locations?.
Zhong S, Bian L
Trans GIS. 2020; 24(6):1740-1755.
PMID: 33343221
PMC: 7745922.
DOI: 10.1111/tgis.12675.
Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches.
Campo D, Gussler J, Sue A, Skums P, Khudyakov Y
PLoS One. 2020; 15(12):e0243622.
PMID: 33284864
PMC: 7721465.
DOI: 10.1371/journal.pone.0243622.
Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index.
Gong X, Han Y, Hou M, Guo R
JMIR Public Health Surveill. 2020; 6(4):e23098.
PMID: 32960177
PMC: 7584450.
DOI: 10.2196/23098.