Early warning surveillance (EWS) is a key factor in the fight against tropical infectious diseases(1). However, the process of carrying out EWS is complex as it involves several actors and requires the use of diverse human, material and technological resources for data collection, analysis, and diffusion(2). Modern EWS systems make use of state of the art technologies and technics which require much financial input and adequate technological expertise for the users. More so, the culture and habits of users in DCs make it very difficult to run such EWS systems in this milieu. In this paper, we propose a generic early warning surveillance architecture that tackles the stages from just after data collection, through data analysis to feedback and that is adapted to the context of limited resource countries.
Objective
Build a computer aided Early warning disease surveillance system adapted for Developing Countries (DCs) facing limited financial, human, intellectual, organizational, technological, and infrastructural resources.