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GAMBARAN PELAKSANAAN SISTEM SURVEILANS EPIDEMIOLOGI COVID-19 TINGKAT PUSKESMAS DI KOTA KENDARI TAHUN 2020

Endemis Journal · Vol. 2 No. 3 (2022)

DOI
10.37887/ej.v2i3.26938
ISSN
2723-0139
Published
2022-08-04
Publisher
FKM Universitas Halu Oleo
Language
eng

Abstract

Kendari City has shown a significant increase in COVID-19 cases. Positive confirmed cases of COVID-19 in Kendari City as of November 5, 2020, there were 2.736 cases, consisting of 26 new cases, 2.137 cases that had recovered and 35 cases of death. Surveillance epidemiology of COVID-19 aims to break the chain of transmission and reduce morbidity and mortality, but the increase in COVID-19 cases in Kendari City is still high and very worrying. The purpose of this study is to provide an overview of the implementation of the COVID-19 epidemiological surveillance system at the Community Health Center level in Kendari City in 2020. This research is descriptive research with quantitative approach. The sample size in this study was 10 surveillance officers at the Kendari Community Health Center level. The sampling technique used in this study was the simple random sampling method. The results showed that all Community Health Center had collected COVID-19 surveillance data using active surveillance namely 10 Community Health Center (100%). Processing of COVID-19 surveillance data shows that all health centers have processed data using the Microsoft Excel application, namely 10 Community Health Center (100%). Analysis of the COVID-19 surveillance data showed that there were 9 Community Health Center(90%) that carried out data analysis, while those who did not do data analysis were 1 Community Health Center (10%). Dissemination of COVID-19 surveillance information shows that there are 9 Community Health Center (90%), while those who do not disseminate information are 1 Community Health Center (10%).

Collaboration network of the authors

40 authors · 304 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Jusniar Rusli AfaUniversitas Halu Oleo14
Irma IrmaAffiliation unknown8
Hartati BaharUniversitas Halu Oleo7
Yasnani YasnaniUniversitas Halu Oleo7
Asnia ZainuddinUniversitas Halu Oleo6
La Ode Muhamad SetyUniversitas Halu Oleo6
Lymbran TinaAffiliation unknown6
Yusuf SabiluUniversitas Halu Oleo5
Nurmaladewi NurmaladewiUniversitas Halu Oleo4
Ramadhan TosepuUniversitas Halu Oleo4
Paridah ParidahUniversitas Halu Oleo4
Fifi NirmalaUniversitas Halu Oleo4
La Ode Ali Imran AhmadAffiliation unknown4
La Ode Liaumin AzimUniversitas Halu Oleo3
Febriana MuchtarAffiliation unknown3
Fithria FithriaUniversitas Halu Oleo3
Karma IbrahimAffiliation unknown3
Harleli HarleliUniversitas Halu Oleo3
Listy HandayaniUniversitas Halu Oleo2
Alyssa Destiana AdnanAffiliation unknown2
Arum Dian PratiwiUniversitas Halu Oleo2
Lisnawaty LisnawatyAffiliation unknown2
Nurdian NurdianAffiliation unknown2
Irma YunawatiUniversitas Halu Oleo2
Dimas Melianto Saputra BahtiarAffiliation unknown2
Sartiah YusranAffiliation unknown2
Novita Indria SariAffiliation unknown2
APRIANI APRIANIAffiliation unknown2
Kamrin KamrinUniversitas Halu Oleo2
Ruslan MajidUniversitas Halu Oleo2
La Ode Ahmad SaktiansyahUniversitas Halu Oleo2
Devi Savitri EffendyUniversitas Halu Oleo2
Nani YuniarUniversitas Halu Oleo2
Pitrah AsfianAffiliation unknown2
Jafriati JafriatiUniversitas Halu Oleo2
Akifah AkifahUniversitas Halu Oleo2
Siti Rabbani KarimunaUniversitas Halu Oleo2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/Endemis/oai, first harvested 30 Okt 2026, last seen 30 Okt 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">GAMBARAN PELAKSANAAN SISTEM SURVEILANS EPIDEMIOLOGI COVID-19  TINGKAT PUSKESMAS DI KOTA KENDARI TAHUN 2020</dc:title>
	<dc:creator>Muthiah, Dhiya Dwi</dc:creator>
	<dc:creator>Lestari, Hariati</dc:creator>
	<dc:creator>Jumakil, Jumakil</dc:creator>
	<dc:description xml:lang="en-US">Kendari City has shown a significant increase in COVID-19 cases. Positive confirmed cases of COVID-19 in Kendari City as of November 5, 2020, there were 2.736 cases, consisting of 26 new cases, 2.137 cases that had recovered and 35 cases of death. Surveillance epidemiology of COVID-19 aims to break the chain of transmission and reduce morbidity and mortality, but the increase in COVID-19 cases in Kendari City is still high and very worrying. The purpose of this study is to provide an overview of the implementation of the COVID-19 epidemiological surveillance system at the Community Health Center level in Kendari City in 2020. This research is descriptive research with quantitative approach. The sample size in this study was 10 surveillance officers at the Kendari Community Health Center level. The sampling technique used in this study was the simple random sampling method. The results showed that all Community Health Center had collected COVID-19 surveillance data using active surveillance namely 10 Community Health Center (100%). Processing of COVID-19 surveillance data shows that all health centers have processed data using the Microsoft Excel application, namely 10 Community Health Center (100%). Analysis of the COVID-19 surveillance data showed that there were 9 Community Health Center(90%) that carried out data analysis, while those who did not do data analysis were 1 Community Health Center (10%). Dissemination of COVID-19 surveillance information shows that there are 9 Community Health Center (90%), while those who do not disseminate information are 1 Community Health Center (10%).</dc:description>
	<dc:publisher xml:lang="en-US">FKM Universitas Halu Oleo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2022-08-04</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/Endemis/article/view/26938</dc:identifier>
	<dc:identifier>10.37887/ej.v2i3.26938</dc:identifier>
	<dc:source xml:lang="en-US">Endemis Journal; Vol 2, No 3 (2021): ENDEMIS JOURNAL</dc:source>
	<dc:source>2723-0139</dc:source>
	<dc:source>10.37887/ej.v2i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/Endemis/article/view/26938/15562</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Endemis Journal</dc:rights>
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