Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018

Malaria is still a public health problem in the Banyumas district. Spatial information can be used as a strategy to control malaria. This study aimed to describe malaria cases using spatial analysis in the Banyumas District from 2009 to 2018 based on environmental conditions. This research was quant...

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Main Authors: Destika Dhaniasri, Dwi Sarwani Sri Rejeki, Setyowati Raharjo
Format: Article
Language:Indonesian
Published: Balai Litbang P2B2 Banjarnegara 2020-12-01
Series:Balaba: Jurnal Litbang Pengendalian Penyakit Bersumber Binatang Banjarnegara
Subjects:
Online Access:https://ejournal2.litbang.kemkes.go.id/index.php/blb/article/view/3710
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spelling doaj-c72b7cfeaa674cf3a52dfb3fc9aad4d62021-01-05T06:41:43ZindBalai Litbang P2B2 BanjarnegaraBalaba: Jurnal Litbang Pengendalian Penyakit Bersumber Binatang Banjarnegara1858-08822338-99822020-12-0116918010.22435/blb.v16i2.37103710Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018Destika Dhaniasri0Dwi Sarwani Sri Rejeki1Setyowati Raharjo2Jurusan Kesehatan Masyarakat, Fakultas Ilmu-Ilmu Kesehatan, Universitas Jenderal Soedirman, Jalan dr. Soeparno Kampus Karangwangkal, Purwokerto, Jawa Tengah, IndonesiaJurusan Kesehatan Masyarakat, Fakultas Ilmu-Ilmu Kesehatan, Universitas Jenderal Soedirman, Jalan dr. Soeparno Kampus Karangwangkal, Purwokerto, Jawa Tengah, IndonesiaJurusan Kesehatan Masyarakat, Fakultas Ilmu-Ilmu Kesehatan, Universitas Jenderal Soedirman, Jalan dr. Soeparno Kampus Karangwangkal, Purwokerto, Jawa Tengah, IndonesiaMalaria is still a public health problem in the Banyumas district. Spatial information can be used as a strategy to control malaria. This study aimed to describe malaria cases using spatial analysis in the Banyumas District from 2009 to 2018 based on environmental conditions. This research was quantitative method conducted by a descriptive spatial approach. Data collected by secondary data which was obtained from various sources such as Health Agency, Statistics Indonesia, Indonesian Ministry of National Development, National Institute of Research and Development, and Office of Public Works of Banyumas. The data analysis implemented was descriptive and processed with ArcGis software. The findings illustrated that the number of malaria cases during the 2009-2018 period in Banyumas district was 1624 cases. The most dominant malaria cases distribution were in Sumpiuh and Tambak Subdistrict. The Trend of API from 2009 to 2018 was getting better, 2009 to 2012 found that there were subdistricts with Moderate Case Incidence (MCI) and High Case Incidence (HCI), however, Low Case Incidence (LCI) was present in 2013 to 2018 in Sumpiuh and Kebasen subdistricts and the rests were free from malaria. The results of spatial analysis discovered that most of the malaria cases were in the medium population density area. The distribution of malaria cases has decreased significantly, even though the environmental conditions still potentially transmit malaria.https://ejournal2.litbang.kemkes.go.id/index.php/blb/article/view/3710spatial analysismalariabanyumas
collection DOAJ
language Indonesian
format Article
sources DOAJ
author Destika Dhaniasri
Dwi Sarwani Sri Rejeki
Setyowati Raharjo
spellingShingle Destika Dhaniasri
Dwi Sarwani Sri Rejeki
Setyowati Raharjo
Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018
Balaba: Jurnal Litbang Pengendalian Penyakit Bersumber Binatang Banjarnegara
spatial analysis
malaria
banyumas
author_facet Destika Dhaniasri
Dwi Sarwani Sri Rejeki
Setyowati Raharjo
author_sort Destika Dhaniasri
title Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018
title_short Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018
title_full Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018
title_fullStr Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018
title_full_unstemmed Analisis Spasial Kasus Malaria di Kabupaten Banyumas Tahun 2009-2018
title_sort analisis spasial kasus malaria di kabupaten banyumas tahun 2009-2018
publisher Balai Litbang P2B2 Banjarnegara
series Balaba: Jurnal Litbang Pengendalian Penyakit Bersumber Binatang Banjarnegara
issn 1858-0882
2338-9982
publishDate 2020-12-01
description Malaria is still a public health problem in the Banyumas district. Spatial information can be used as a strategy to control malaria. This study aimed to describe malaria cases using spatial analysis in the Banyumas District from 2009 to 2018 based on environmental conditions. This research was quantitative method conducted by a descriptive spatial approach. Data collected by secondary data which was obtained from various sources such as Health Agency, Statistics Indonesia, Indonesian Ministry of National Development, National Institute of Research and Development, and Office of Public Works of Banyumas. The data analysis implemented was descriptive and processed with ArcGis software. The findings illustrated that the number of malaria cases during the 2009-2018 period in Banyumas district was 1624 cases. The most dominant malaria cases distribution were in Sumpiuh and Tambak Subdistrict. The Trend of API from 2009 to 2018 was getting better, 2009 to 2012 found that there were subdistricts with Moderate Case Incidence (MCI) and High Case Incidence (HCI), however, Low Case Incidence (LCI) was present in 2013 to 2018 in Sumpiuh and Kebasen subdistricts and the rests were free from malaria. The results of spatial analysis discovered that most of the malaria cases were in the medium population density area. The distribution of malaria cases has decreased significantly, even though the environmental conditions still potentially transmit malaria.
topic spatial analysis
malaria
banyumas
url https://ejournal2.litbang.kemkes.go.id/index.php/blb/article/view/3710
work_keys_str_mv AT destikadhaniasri analisisspasialkasusmalariadikabupatenbanyumastahun20092018
AT dwisarwanisrirejeki analisisspasialkasusmalariadikabupatenbanyumastahun20092018
AT setyowatiraharjo analisisspasialkasusmalariadikabupatenbanyumastahun20092018
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