z-logo
open-access-imgOpen Access
Early stage risk communication and community engagement (RCCE) strategies and measures against the coronavirus disease 2019 (COVID-19) pandemic crisis
Author(s) -
Ernest Tambo,
Ingrid C. Djuikoue,
Gildas Boris Tazemda-Kuitsouc,
Michael F. Fotsing,
Xiaog Zhou
Publication year - 2021
Publication title -
global health journal
Language(s) - English
Resource type - Journals
eISSN - 2414-6447
pISSN - 2096-3947
DOI - 10.1016/j.glohj.2021.02.009
Subject(s) - pandemic , preparedness , community resilience , government (linguistics) , public relations , political science , business , community engagement , public health , population , economic growth , disease , environmental health , medicine , covid-19 , economics , engineering , infectious disease (medical specialty) , nursing , philosophy , reliability engineering , law , pathology , redundancy (engineering) , linguistics
Coronavirus disease 2019 (COVID-19) pandemic has proven to be tenacious and shows that the global community is still poorly prepared to handling such emerging pandemics. Enhancing global solidarity in emergency preparedness and response, and the mobilization of conscience and cooperation, can serve as an excellent source of ideas and measures in a timely manner. The article provides an overview of the key components of risk communication and community engagement (RCCE) strategies at the early stages in vulnerable nations and populations, and highlight contextual recommendations for strengthening coordinated and sustainable RCCE preventive and emergency response strategies against COVID-19 pandemic. Global solidarity calls for firming governance, abundant community participation and enough trust to boost early pandemic preparedness and response. Promoting public RCCE response interventions needs crucially improving government health systems and security proactiveness, community to individual confinement, trust and resilience solutions. To better understand population risk and vulnerability, as well as COVID-19 transmission dynamics, it is important to build intelligent systems for monitoring isolation/quarantine and tracking by use of artificial intelligence and machine learning systems algorithms. Experiences and lessons learned from the international community is crucial for emerging pandemics prevention and control programs, especially in promoting evidence-based decision-making, integrating data and models to inform effective and sustainable RCCE strategies, such as local and global safe and effective COVID-19 vaccines and mass immunization programs.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom