National Workshop ‘Time to Detect and Time to Respond’ & ‘Training for Scanning and Scanning Hardware’

On 13 February 2017 in Tirana, Albania took place the National Workshop Time to Detect and Time to Respond’. This event was organized by Southeast European Centre for Surveillance and Control of Infectious Disease (SECID) in cooperation with Institute of Public Health, (IPH) Tirana. The workshop was organized in the framework of ‘Improving early detection and response of country and cross border diseases, events and risks by digitalization of priority surveillance sources’, supported by Skoll Global Threats Fund – SGTF USA. 

The aim of this workshop was to finalize preliminary results of Time to Detect and Time to Respond analysis in Albania and discuss how digitalization of surveillance data will further improve this process.

In the event took parts around 50 participants: epidemiologists, virologists and microbiologists of IPH and epidemiologists of Directories of Public Health of Districts. During the workshop participants presented dates gap analysis and anylazed the reasons why they had or had not some important dates for each disease they  already analyzed.

From 14-15 February 2017 in Tirana, took place Training for scanning and scanning hardware’. This event was organized by Surveillance and Control of Infectious Disease (SECID) in cooperation with Digital Divide Data (DDD) and Institute of Public Health, Tirana.

This activity was also organized in the framework of the Project ‘Improving early detection and response of country and cross border diseases, events and risks by digitalization of priority surveillance sources’, supported by the Skoll Global Threats Fund – SGTF USA. 

The training consisted in working with Digital Divide Data to plan implementation and training for scanning and digitalization of SECID countries surveillance data.

Participants in the training were data entry specialists, IT specialists and epidemiologists of Institute of Public Health, Tirana. They were trained by a scanning specialist of Digital Divide Data.