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10.9745/GHSP-D-21-00031 http://scihub22266oqcxt.onion/10.9745/GHSP-D-21-00031 34038385!8324191!34038385     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Glob+Health+Sci+Pract 2021 ; 9 (2): 355-364 Nephropedia Template TP {{tp|p=34038385|t=2021. Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Cote d Ivoire |pdf=|usr=}}{{34038385}} gab.com Text Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Cote d Ivoire JO: Glob Health Sci Pract http://www.kidney.de/pget.php?&tw=1&pmid=34038385 #FOAvip Global misinformation and information overload have characterized the coronavirus disease (COVID-19) pandemic. Rumors are unverified pieces of information spreading online or person-to-person that reduce trust in health authorities and create barriers to protective practices. Risk communication and community engagement can increase transparency, build trust, and stop the spread of rumors. Building on previous work on Ebola and Zika viruses using Global Health Security Agenda systems strengthening support, the U.S. Agency for International Development-funded Breakthrough ACTION project developed a process and technology for systematically collecting, analyzing, and addressing COVID-19 rumors in real-time in Cote d'Ivoire. Rumors were submitted through community-based contributors and collected from callers to the national hotlines and then processed on a cloud-hosted database built on the open-source software District Health Information System 2 (DHIS2). Hotline teleoperators and data managers coded rumors in near-real-time according to behavioral theory frameworks within DHIS2 and visualized the findings on custom dashboards. The analysis and response were done in full collaboration with the Government of Cote d'Ivoire and implementing partners to ensure a timely and coordinated response. The system captured both widespread rumors consistent with misinformation in other settings, such as suspicions about case counts and the belief that masks were deliberately contaminated, as well as very localized beliefs related to specific influencers. The qualitative findings provided rapid insights on circulating beliefs, enabling risk communicators to nuance and tailor messaging around COVID-19. Twit Text FOAVip Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Cote d Ivoire ????Glob Health Sci Pract http://www.kidney.de/pget.php?&tw=1&pmid=34038385 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34038385 #FOAvip English Wikipedia <ref>{{Cite pmid|34038385}}</ref> Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Cote d Ivoire #MMPMID34038385 Tibbels N; Dosso A; Allen-Valley A; Benie W; Fordham C; Brou JA; Nana M; Zounneme V; Silue KF; Kamara D; Naugle D Glob Health Sci Pract 2021[Jun]; 9 (2): 355-364 PMID34038385show ga Global misinformation and information overload have characterized the coronavirus disease (COVID-19) pandemic. Rumors are unverified pieces of information spreading online or person-to-person that reduce trust in health authorities and create barriers to protective practices. Risk communication and community engagement can increase transparency, build trust, and stop the spread of rumors. Building on previous work on Ebola and Zika viruses using Global Health Security Agenda systems strengthening support, the U.S. Agency for International Development-funded Breakthrough ACTION project developed a process and technology for systematically collecting, analyzing, and addressing COVID-19 rumors in real-time in Cote d'Ivoire. Rumors were submitted through community-based contributors and collected from callers to the national hotlines and then processed on a cloud-hosted database built on the open-source software District Health Information System 2 (DHIS2). Hotline teleoperators and data managers coded rumors in near-real-time according to behavioral theory frameworks within DHIS2 and visualized the findings on custom dashboards. The analysis and response were done in full collaboration with the Government of Cote d'Ivoire and implementing partners to ensure a timely and coordinated response. The system captured both widespread rumors consistent with misinformation in other settings, such as suspicions about case counts and the belief that masks were deliberately contaminated, as well as very localized beliefs related to specific influencers. The qualitative findings provided rapid insights on circulating beliefs, enabling risk communicators to nuance and tailor messaging around COVID-19. |*COVID-19[MESH] |*Communication[MESH] |*Health Knowledge, Attitudes, Practice[MESH] |*Pandemics[MESH] |*Residence Characteristics[MESH] |*Trust[MESH] |Communicable Disease Control[MESH] |Cote d'Ivoire[MESH] |Data Collection/methods[MESH] |Databases, Factual[MESH] |Government[MESH] |Hotlines[MESH] |Humans[MESH] |Information Management/*methods[MESH] |International Cooperation[MESH] |Internet[MESH]Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in(epmc).pdf DeepDyve Pubget Overpricing