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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 9
First page : ( 1123) Last page : ( 1128)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.02593.2

Evaluation of Malaria Surveillance Based on Attribute in Health Office of East Sumba District

Domingga Margaretha1,*, Hidajah Atik choirul2

1Master Study of Epidemiology, Department of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia

2Department of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia

*Corresponding Author: Margaretha Domingga, Master Study of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia, Email: ethadomingga@yahoo.com

Online published on 13 November, 2019.

Abstract

Malaria is infectious disease caused by malaria mosquitoes. East Sumba District in 2017, API is 30.9/1000 population and SPR is 17.95%. One of the important factors that influence the high of malaria cases is the performance of malaria surveillance because it has a role to preventing disease, it is necessary to evaluate malaria based on approach system and evaluation surveillance attribute. This study was qualitative research with an evaluation study design. Identification of problems in the input, namely there are no analyst staff, laboratory facilities are lacking limited funds. The process of data entering from the PHC to the district is not timely, namely 68.18% and incomplete at 77.27%. At the output, information dissemination has been carried out at regular meetings. The result of evaluation attributes where simplicity are not simple. Flexibility is inflexibility. Data quality, acceptability, sensitivity, representative, timeliness are low, PPV and stability is high. The alternative solution is to increase the capacity of malaria surveillance managers and health analysts.

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Keywords

API, Surveillance Attribute, e-SISMAL, Malaria.

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