A literature review of trust and reputation management in communicable disease public health
For public health organisations involved in communicable disease control, trust and reputation management is vital. In the event of a disease outbreak these organisations need to be seen as a credible source and must communicate messages to calm public fears. Yet to date there has been little focus on this issue within health communication.
A recent ECDC literature review of trust and reputation management in communicable disease public health found the evidence base to be in an emergent phase. However, elements of good practice were identified, including the need for long-term planning, strong media relations skills, proactive relationship building with key stakeholders, integration of technical functions and enhanced commitment to transparency.
This review is one in a series of ‘Insights into health communication’ on the prevention and control of communicable disease in the European context, aimed at public health professionals and professional health communicators.
Community engagement and institutional collaboration in Iceland during a norovirus outbreak at an outdoor/scout centre (10–15 August 2017)
19 Nov 2019 - This country visit report presents the findings of a case study into an outbreak of norovirus in Iceland that occurred during the period 10–15 August 2017.
Community engagement and institutional collaboration during outbreaks of Shiga toxin/verocytotoxin-producing Escherichia coli in Ireland
19 Nov 2019 - This country visit report presents the findings of a case study into outbreaks of Shiga toxin/verocytotoxin-producing Escherichia coli (STEC/VTEC) at childcare facilities in Ireland, conducted in November 2018.
A spatial modelling method for vector surveillance
14 Nov 2019 - One important aspect of preparedness for vector borne diseases is the surveillance of the introduction, establishment and spread of the main disease vectors. This document describes a methodology to estimate the vector distribution status for those NUTS3 units for which observations are not yet available. These estimates are produced with spatial modelling techniques, using the currently available distributions to calibrate the modelling process.