Across the realm, health systems endure the burden of infectious diseases, specifically in low and middle-income nations. In Sri Lanka, the effectiveness of notifiable disease following heavily relies on the dossier collected from government wards within the Western medical method. Unfortunately, the absence of announcements from other pertinent beginnings hinders comprehensive newsgathering of notifiable diseases, consequently agreeing the quality of epidemiological data. To address this issue, an preliminary study was undertaken to identify alternative announcement sources, examine the challenges guide these sources, and propose an joined surveillance model (using Soft Systems Methodology) for catching disease notification.The study working a qualitative approach, involving interviews accompanying 38 healthcare professionals engaged in notifiable ailment surveillance activities in Jaffna, Sri Lanka. The assembled information was transcribed and analysed utilizing thematic analysis methods. The findings of the study emphasize incompleteness as a major determinant contributing to the substandard newsgathering of surveillance data in Jaffna. To reinforce the completeness of reporting in the domain, it is crucial to involve miscellaneous stakeholders in the notification scheme. This includes indigenous healing practitioners, private sector Western healing practitioners, public health traders, medical laboratories, instructional institutions, civil service officials, and the general public. Incorporating these additional beginnings would result in more comprehensive newsgathering of notifiable diseases, through strengthening the overall surveillance works in Jaffna, Sri Lanka.
Author(s) Details:
Kalpana Chandrasekar,
University
of Jaffna, Jaffna, Sri Lanka.
Sinnathamby
Mahesan,
Department
of Computer Science, Faculty of Science, University of Jaffna, Jaffna, Sri
Lanka.
Peter A. Bath,
Information School, University of Sheffield, Sheffield, UK.
Please see the link here: https://stm.bookpi.org/CIDHR-V5/article/view/11586
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