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Malaria Incidence Trends and Their Association with Climatic Variables in East Kalimantan, Indonesia, 2014–2020

JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) · Vol. 14 No. 2 (2022) · hlm. 130–138

DOI
10.20473/jkl.v14i2.2022.130-138
ISSN
2540-881X, 1829-7285
Terbit
2022-04-28
Penerbit
Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Introduction: Malaria is still a worldwide health problem, which includes Indonesia. Vector-borne diseases are climate-sensitive and this has raised extended concern over the implications of global climate change on future disease risk. This study aims to analyze the relationship between climate factors and malaria cases in East Kalimantan Province as an illustration to assist the malaria elimination program. Methods: Laboratory confirmation of malaria cases 2014-2020 was analyzed for trends derived from the E-Sismal data. Decomposition analysis was performed to assess seasonality. Climatic data (humidity, temperature, and rainfall) were analyzed with the incidence of malaria using Spearman rank correlation and model analysis with Poisson regression. Results and Discussion: The API value did not decrease significantly, which was only 0.07% from 2014 to 2020, but there was a change in the number based on the type of parasite from Plasmodium falciparum to vivax, which means that program intervention efforts have occurred, while Plasmodium vivax can relapse. There was a seasonal trend decomposition of monthly Plasmodium falciparum and Plasmodium vivax from December to March. Relative humidity shows a positive correlation while monthly temperature shows a negative correlation with P. vivax malaria cases each month. Conclusion: The outputs from this study are going to be useful at numerous levels of decision-making, for example, in fitting associate early warning and property methods for temperature change and climate change adaptation for malaria infection management programs in East Kalimantan.

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  • National Research and Innovation Agency
  • Universitas Airlangga
  • Kementerian Kesehatan Republik Indonesia
  • Poltekkes Kemenkes Banjarmasin
  • Lambung Mangkurat University
  • Indonesia Open University
  • Universitas Sari Mulia
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Rekan penulisOrganisasiArtikel bersama
Ririh YudhastutiUniversitas Airlangga9
Triwibowo Ambar GarjitoNational Research and Innovation Agency6
Babucarr JasseyMinistry of Health and Social Welfare5
Dicky AndiarsaNational Research and Innovation Agency3
Khuliyah Candraning DiyanahUniversitas Airlangga2
Aditya Sukma PawitraUniversitas Airlangga2
Rahmat DapariUniversiti Putra Malaysia2
Lilis SulistyoriniUniversitas Airlangga2
Diva Alishya ShafwahUniversitas Airlangga2
Nafi'atul IrbahUniversitas Airlangga2
Norjanah NorjanahIndonesia Open University2
Untung NorleyandiAfiliasi tidak diketahui2
St. AisyahIndonesia Open University2
Khairatun NisaUniversitas Sari Mulia2
Norsita AgustinaUniversitas Islam Kalimantan Muhammad Arsyad Al Banjary2
Isnawati -Poltekkes Kemenkes Banjarmasin2
Nurul HidayahUniversitas Sari Mulia2
JuhairiyahNational Research and Innovation Agency2
Muhammad Choirul HidajatNational Research and Innovation Agency2
Wahyu Pudji NugraheniNational Research and Innovation Agency2
Muhammad Ir'faiAfiliasi tidak diketahui1
Ferry KriswandanaPoltekkes Kemenkes Surabaya1
Wanti WantiPoltekkes Kemenkes Kupang1
Isnawati IsnawatiPoltekkes Kemenkes Banjarmasin1
Muhammad PahruddinAfiliasi tidak diketahui1
Budi HairaniAfiliasi tidak diketahui1
Akhmad RosanjiAfiliasi tidak diketahui1
Abdullah FadillyAfiliasi tidak diketahui1
Gusti MeliyanieAfiliasi tidak diketahui1
Sri SulasmiKementerian Kesehatan Republik Indonesia1
Deni FakhrizalKementerian Kesehatan Republik Indonesia1
Syarif HidayatKementerian Kesehatan Republik Indonesia1
Evi LianiAfiliasi tidak diketahui1
Dewi Sri SusantiLambung Mangkurat University1
Muhammad Irfa’iPoltekkes Kemenkes Banjarmasin1
IsnawatiPoltekkes Kemenkes Banjarmasin1

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Sumber metadata: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JKL/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Malaria Incidence Trends and Their Association with Climatic Variables in East Kalimantan, Indonesia, 2014–2020</dc:title>
	<dc:creator>Ridha, Muhammad Rasyid</dc:creator>
	<dc:creator>Indriyati, Liestiana</dc:creator>
	<dc:creator>Juhairiyah, Juhairiyah</dc:creator>
	<dc:creator>Kusumaningtyas, Harninda</dc:creator>
	<dc:subject xml:lang="en-US">Malaria</dc:subject>
	<dc:subject xml:lang="en-US">Trend</dc:subject>
	<dc:subject xml:lang="en-US">Climate</dc:subject>
	<dc:subject xml:lang="en-US">East Kalimantan</dc:subject>
	<dc:subject xml:lang="en-US">Indonesia</dc:subject>
	<dc:description xml:lang="en-US">Introduction: Malaria is still a worldwide health problem, which includes Indonesia. Vector-borne diseases are climate-sensitive and this has raised extended concern over the implications of global climate change on future disease risk. This study aims to analyze the relationship between climate factors and malaria cases in East Kalimantan Province as an illustration to assist the malaria elimination program. Methods: Laboratory confirmation of malaria cases 2014-2020 was analyzed for trends derived from the E-Sismal data. Decomposition analysis was performed to assess seasonality. Climatic data (humidity, temperature, and rainfall) were analyzed with the incidence of malaria using Spearman rank correlation and model analysis with Poisson regression. Results and Discussion: The API value did not decrease significantly, which was only 0.07% from 2014 to 2020, but there was a change in the number based on the type of parasite from Plasmodium falciparum to vivax, which means that program intervention efforts have occurred, while Plasmodium vivax can relapse. There was a seasonal trend decomposition of monthly Plasmodium falciparum and Plasmodium vivax from December to March. Relative humidity shows a positive correlation while monthly temperature shows a negative correlation with P. vivax malaria cases each month. Conclusion: The outputs from this study are going to be useful at numerous levels of decision-making, for example, in fitting associate early warning and property methods for temperature change and climate change adaptation for malaria infection management programs in East Kalimantan.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2022-04-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>text/xml</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JKL/article/view/33913</dc:identifier>
	<dc:identifier>10.20473/jkl.v14i2.2022.130-138</dc:identifier>
	<dc:source xml:lang="en-US">JURNAL KESEHATAN LINGKUNGAN ; Vol. 14 No. 2 (2022): JURNAL KESEHATAN LINGKUNGAN; 130-138</dc:source>
	<dc:source>2540-881X</dc:source>
	<dc:source>1829-7285</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JKL/article/view/33913/17587</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JKL/article/view/33913/17668</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 JURNAL KESEHATAN LINGKUNGAN</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>