ABSTRACT
Epidemiology provides insights about causes of diseases and how to control them, and is powered by surveillance information. Animal health surveillance systems typically have been designed to meet high-level government informational needs, and any incentives for those who generate data (such as animal owners and animal health workers) to report surveillance information are sometimes outweighed by the negative consequences of reporting; underreporting is a serious constraint. This problem can persist even when modern advances in information and communications technology (ICT) are incorporated into the structure and operation of surveillance systems, although some problems typical of paper-based systems (including timeliness of reporting and response, accuracy of data entry, and level of detail recorded) are reduced. On occasions, however, additional problems including sustainability arise. We describe two examples of a philosophical approach and ICT platform for the development of powerful and sustainable health information systems that are people-centred and do not exhibit these typical problems. iSIKHNAS is Indonesia's integrated animal health information system, and PIISAC is a sustainable secure research platform based on full production data from participating commercial Chilean aquaculture companies. Epidemiologists working with these systems are faced with interesting new challenges, including the need to develop skills in extracting appropriate surveillance outcomes from large volumes of continually-streaming data.