Early Warning Alert and Response System for Detecting Infectious Disease Outbreaks Based on Surveillance Attributes in Lumajang, Indonesia

Cicik Agustini Juwita, Anisa Maulida, Verdian Nendra Dimas Pratama, Meilinda Alya Putri Haryanik, Irma Prasetyowati

2024

Abstract

Introduction, Early Warning Alerts and Response Systems (EWARS) is a surveillance tool to detect early warning signals/threats of potential outbreaks of infectious disease. EWARS data for Lumajang District in 2022 shows that the accuracy of the EWARS report is the lowest in East Java 42.64%, while the completeness 84.48%, ranking 35th out of 38 district in East Java Province. There were 20 public health centers (80%) that had report accuracy <80% and one of public health center (4%) had report completeness <90% of the 25 public health centers in Lumajang District. This research aimed to identify the implementation of EWARS in the Lumajang District based on the attribute approach. Methods, This research was descriptive quantitative research. The population was all 25 health center surveillance officers. Methods of data collection by filling questioner forms and documentation. Data analysis used descriptive analysis. EC: No. 2389/UN25. 8/KEPK/DL/2024. Results of this research The implementation of EWARS only fulfilled the attributes of simplicity (88%), flexible (64%), data quality(72%), acceptance (100%), completeness(96%), accuracy(88%) and not fulfilling the attributes of representativeness(36%), stability(12%), utility(44%). There were 92% who wanted regular meetings related to data evaluation, performance, and training to improve the quality and benefits of EWARS. Conclusion Assessment according to EWARS attributes shows the system does not meet representativeness, stability, and utility. Several recommendations can be made to address representativeness, stability, and utility. Regularly assess whether data sources and surveillance points represent the entire population or target area. Continuously training staff and ensuring there are sufficient human resources can also be done to increase target achievement according to surveillance attributes. Design the output of the system to provide actionable insights. This means not just collecting data, but analyzing it in ways that directly support public health decisions and actions.

Paper Citation

in Harvard Style

Juwita C., Maulida A., Pratama V., Haryanik M. and Prasetyowati I. (2024). Early Warning Alert and Response System for Detecting Infectious Disease Outbreaks Based on Surveillance Attributes in Lumajang, Indonesia. In Proceedings of BRIN’s 2nd International Conference for Health Research - Volume 1: ICHR; ISBN 978-989-758-755-9, SciTePress, pages 28-37. DOI: 10.5220/0013517900004612

in Bibtex Style

@conference{ichr24,
author={Cicik Juwita and Anisa Maulida and Verdian Pratama and Meilinda Haryanik and Irma Prasetyowati},
title={Early Warning Alert and Response System for Detecting Infectious Disease Outbreaks Based on Surveillance Attributes in Lumajang, Indonesia},
booktitle={Proceedings of BRIN’s 2nd International Conference for Health Research - Volume 1: ICHR},
year={2024},
pages={28-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013517900004612},
isbn={978-989-758-755-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of BRIN’s 2nd International Conference for Health Research - Volume 1: ICHR
TI - Early Warning Alert and Response System for Detecting Infectious Disease Outbreaks Based on Surveillance Attributes in Lumajang, Indonesia
SN - 978-989-758-755-9
AU - Juwita C.
AU - Maulida A.
AU - Pratama V.
AU - Haryanik M.
AU - Prasetyowati I.
PY - 2024
SP - 28
EP - 37
DO - 10.5220/0013517900004612
PB - SciTePress