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Correlation of Climate Factors, Population Density, and Larva Free Rate (ABJ) on the Incidence of Dengue Hemorrhagic Fever (DHF) in Kendari City Period 2012-2021

MEDULA (JURNAL ILMIAH FAKULTAS KEDOKTERAN UNIVERSITAS HALU OLEO) · Vol. 9 No. 2 (2022) · pp. 134–144

DOI
10.46496/medula.v9i2.25471
ISSN
2443-0218, 2339-1006
Published
2022-05-25
Publisher
Halu Oleo University
Language
eng

Abstract

Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease that is endemic in most tropical areas in the world and around 3.5 billion people live in areas where dengue is endemic. A large number of individuals residing in a certain area will facilitate the spread of dengue disease and accelerate the transmission of dengue virus from vectors. Climate is very important for the survival of the Aedes Aegypti mosquito because mosquito breeding sites will increase along with climate change. ABJ shows the density of larvae in an area. Purpose(s): This study aimed to determine the correlation of climate factors, population density, and larva free rate (ABJ) to the incidence of Dengue Hemorrhagic Fever (DHF) in Kendari City in 2012–2021. Methods: This research method was a cross sectional design and Spearman rank correlation analysis using SPSS application. The data used are secondary data in the form of data on rainfall, humidity, temperature, population density, and the incidence of DHF in a period of 10 years (2012-2021) and ABJ in a period 2016 - 2020. Results: The results of this study indicated that the rainfall variable (p value = 0,000, r = 0,416) and the humidity variable (p value = 0,000, r = 0,446) have a sufficient and unidirectional correlation coefficient to the incidence of DHF in Kendari City in 2012-2021, ABJ variable (p value = 0,014, r = -0,949) has a very strong and non-unidirectional correlation coefficient on the incidence of DHF in Kendari City in 2016-2020, and there is no correlation between the temperature variable (p value = 0,087) and the variable population density (p value = 0,651) with the incidence of DHF in Kendari City in 2012-2021. Conclusion: There was a correlation between rainfall and humidity variables on the incidence of DHF in Kendari City in 2012-2021, there was a correlation between the ABJ variable and the incidence of DHF in Kendari City in 2016-2020, and there wasn’t a correlation between temperature variable and population density variable on the incidence of DHF in Kendari City in 2012-2021.

Collaboration network of the authors

40 authors · 147 co-authorship links · showing the 40 most connected

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  • Universitas Halu Oleo
  • Affiliation unknown
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  • Same organisation
  • Affiliation unknown
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Show as table
Co-authorOrganisationJoint articles
Hariati LestariUniversitas Halu Oleo5
Lymbran TinaAffiliation unknown4
Sabarudin SabarudinUniversitas Halu Oleo3
La Ode Ahmad SaktiansyahUniversitas Halu Oleo3
Jafriati JafriatiUniversitas Halu Oleo3
Yusuf SabiluUniversitas Halu Oleo3
Nurmaladewi NurmaladewiUniversitas Halu Oleo3
Alyssa Destiana AdnanAffiliation unknown2
Sunandar IhsanUniversitas Halu Oleo2
Jumakil JumakilUniversitas Halu Oleo2
Sartiah YusranAffiliation unknown2
Wulan Endang SariUniversitas Halu Oleo1
Elsa ElsaAffiliation unknown1
Siti Rabbani KarimunaUniversitas Halu Oleo1
Aulia MutmainnaAffiliation unknown1
Wa Ode Mitha Fatrisya SamsulAffiliation unknown1
La Ode NggawuUniversitas Halu Oleo1
Astrid IndalifianyUniversitas Halu Oleo1
Halik HalikUniversitas Halu Oleo1
Nurull HikmahUniversitas Halu Oleo1
Farit RezalAffiliation unknown1
Andi Faisal FachleviAffiliation unknown1
Siti MusdalifahAffiliation unknown1
La Ode Muhamad SetyUniversitas Halu Oleo1
Waode Sukmawati SyukurAffiliation unknown1
Irma IrmaAffiliation unknown1
Sri Epon Hasti DudeAffiliation unknown1
Devi EmriantiAffiliation unknown1
Asnia ZainuddinUniversitas Halu Oleo1
Jusni JamalAffiliation unknown1
Wa Ode HardianaAffiliation unknown1
Iin IinAffiliation unknown1
Hasrullah HasrullahAffiliation unknown1
Zainab HikmawatiUniversitas Halu Oleo1
Ila Veti ElvianiAffiliation unknown1
Yasnani YasnaniUniversitas Halu Oleo1
Sherly WulandariAffiliation unknown1

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/medula/oai, first harvested 31 Okt 2026, last seen 31 Okt 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Correlation of Climate Factors, Population Density, and Larva Free Rate (ABJ) on the Incidence of Dengue Hemorrhagic Fever (DHF) in Kendari City Period 2012-2021</dc:title>
	<dc:creator>Nirmala, Fifi</dc:creator>
	<dc:creator>Layaly, Nur S</dc:creator>
	<dc:creator>Azim, La Ode Liaumin</dc:creator>
	<dc:description xml:lang="en-US">Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease that is endemic in most tropical areas in the world and around 3.5 billion people live in areas where dengue is endemic. A large number of individuals residing in a certain area will facilitate the spread of dengue disease and accelerate the transmission of dengue virus from vectors. Climate is very important for the survival of the Aedes Aegypti mosquito because mosquito breeding sites will increase along with climate change. ABJ shows the density of larvae in an area. Purpose(s): This study aimed to determine the correlation of climate factors, population density, and larva free rate (ABJ) to the incidence of Dengue Hemorrhagic Fever (DHF) in Kendari City in 2012–2021. Methods: This research method was a cross sectional design and Spearman rank correlation analysis using SPSS application. The data used are secondary data in the form of data on rainfall, humidity, temperature, population density, and the incidence of DHF in a period of 10 years (2012-2021) and ABJ in a period 2016 - 2020. Results: The results of this study indicated that the rainfall variable (p value = 0,000, r = 0,416) and the humidity variable (p value = 0,000, r = 0,446) have a sufficient and unidirectional correlation coefficient to the incidence of DHF in Kendari City in 2012-2021, ABJ variable (p value = 0,014, r = -0,949) has a very strong and non-unidirectional correlation coefficient on the incidence of DHF in Kendari City in 2016-2020, and there is no correlation between the temperature variable (p value = 0,087) and the variable population density (p value = 0,651) with the incidence of DHF in Kendari City in 2012-2021. Conclusion: There was a correlation between rainfall and humidity variables on the incidence of DHF in Kendari City in 2012-2021, there was a correlation between the ABJ variable and the incidence of DHF in Kendari City in 2016-2020, and there wasn’t a correlation between temperature variable and population density variable on the incidence of DHF in Kendari City in 2012-2021.</dc:description>
	<dc:publisher xml:lang="en-US">Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2022-05-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<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/medula/article/view/25471</dc:identifier>
	<dc:identifier>10.46496/medula.v9i2.25471</dc:identifier>
	<dc:source xml:lang="en-US">MEDULA (JURNAL ILMIAH FAKULTAS KEDOKTERAN UNIVERSITAS HALU OLEO); Vol 9, No 2 (2022); 134-144</dc:source>
	<dc:source>2443-0218</dc:source>
	<dc:source>2339-1006</dc:source>
	<dc:source>10.46496/medula.v9i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/medula/article/view/25471/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 MEDULA</dc:rights>
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