Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bagavandas Mappillairaju"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The study aimed to understand stroke-related Twitter conversations in India, focusing on topics, message sources, reach, and influential users to provide insights to stakeholders regarding community needs for knowledge, support, and interven
Externí odkaz:
https://doaj.org/article/cb6925a63128469f8dc1630cb01700f1
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionThe utilization of social media presents a promising avenue for the prevention and management of diabetes. To effectively cater to the diabetes-related knowledge, support, and intervention needs of the community, it is imperative to attai
Externí odkaz:
https://doaj.org/article/b9214dc038454827aaac542ec5198371
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280034 (2023)
School dropout is a significant concern universally. This paper investigates the incorporation of spatial dependency in estimating the topographical effect of school dropout rates in India. This study utilizes the secondary data on primary, upper pri
Externí odkaz:
https://doaj.org/article/e84cd436ffb1477387dff0e3eea35223
Publikováno v:
Geoenvironmental Disasters, Vol 8, Iss 1, Pp 1-11 (2021)
Abstract During and just after flash flood, data regarding water extent and inundation will not be available as the traditional data collection methods fail during disasters. Rapid water extent map is vital for disaster responders to identify the are
Externí odkaz:
https://doaj.org/article/8cfb50846058455690b50f8512d8f81a
Publikováno v:
International Journal of Health Geographics, Vol 19, Iss 1, Pp 1-13 (2020)
Abstract Background Natural disasters are known to take their psychological toll immediately, and over the long term, on those living through them. Messages posted on Twitter provide an insight into the state of mind of citizens affected by such disa
Externí odkaz:
https://doaj.org/article/d5ce0c2148dc47dc92538d321599ae8d
Publikováno v:
Informatics for healthsocial care. 46(4)
Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc77e22359130235727c6634c91fe58a
https://pubmed.ncbi.nlm.nih.gov/33877944
https://pubmed.ncbi.nlm.nih.gov/33877944
Additional file 3. Results of spatial regression model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c96d2355c2421d216d9007e5ead7de3
Publikováno v:
Information Development. :026666692110491
During unexpected social events, information extracted from social media content posted by the people could play a crucial role in understanding the public opinion about the event. In this study, a mixed method procedure, which combines automated and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a657d4d3ac360a7396fa51b18b62d208
https://doi.org/10.1177/02666669211049153
https://doi.org/10.1177/02666669211049153
Publikováno v:
Indian Journal of Community Health; Apr-Jun2019, Vol. 31 Issue 2, p268-272, 5p