Karakteristik dan Distribusi Spasial Habitat Positif Larva Nyamuk Anopheles spp. Berdasarkan Curah Hujan

Tulak, Noper; Handoko, Handoko; Hidayati, Rini; Hadi, Upik Kesumawati; Hakim, Lukman

doi:10.30597/mkmi.v14i3.3307

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…occurences were known having positive correlation with precipitations. This species can occur in areas with precipitation ranges of 15.6-211.5 mm/year with the highest precipitation of 439 mm (Tulak et al 2018). Whereas Kazwaini & Willa (2015) observed that the presences of aqautic habitats are more correlated with the Anopheles spp.…”

Section: Bioclimatic Variablesmentioning

confidence: 96%

Anophelesspp. distribution and climatological niche modeling to predict malaria potential along bioclimatic envelope gradients in South Coast of West Java landscape

2021

Preprint

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Malaria remains a major public health problem mainly in particular South East Asian countries. As malaria transmission and Anopheles spp. continues to spread, control interventions should emphasize on the ability to define potential areas that can favor Anopheles spp. distribution. Then there is an urgent need to use novel approach capable to predict potential spatial patterns of Anopheles spp. and delineate malaria potential hotspots for better environmental health planning and management. Here, this study modeled Anopheles spp. potential distribution as a function of 15 bioclimatic variables using Species Distribution Modeling (SDM) in South Coast of West Java Province spans over 20 km from West to East. Findings of this study show that bioclimatic variables and SDM can be used to predict Anopheles spp. habitat suitability, suggesting the possibility of developing models for malaria early warning based on habitat suitability model. The resulting model shows that the potential distributions of Anopheles spp. encompassed areas from West to Central parts of the coasts, with Central parts were the most potential prevalence areas of Anopheles spp. considering this area has higher precipitation. The less potential prevalence areas of Anopheles spp. were observed in the East parts of the coast. The model also shows that inland areas adjacent to the settlements were more potential in comparison to the areas near coast and in the beach. Land cover conditions dominated by cropland, herbaceous wetland, and inundated land were also influencing the Anopheles spp. potential distribution.

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Section: Bioclimatic Variablesmentioning

confidence: 96%

Anophelesspp. distribution and climatological niche modeling to predict malaria potential along bioclimatic envelope gradients in South Coast of West Java landscape

2021

Preprint

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“…di distrik Heram. 14 Penelitian yang lain yang menunjukkan nilai threshold suhu (ambang batas) air yang menjadi ciri atau spesifikasi adanya kepadatan larva pada semua habitat yang diamati sebesar 28ºC, sedangkan nilai threshold salinitas air sebesar 6.5‰. Suhu air juga merupakan salah satu faktor lingkungan yang dominan terhadap kepadatan larva di habitat.…”

Section: Hasilunclassified

Kontribusi Faktor Determinan Lingkungan terhadap Prevalensi Kasus Malaria di Kota Sabang, Provinsi Aceh

Mualana

Elvin²,

Sufri³

2022

blb

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The city of Sabang has become a model for Indonesia in malaria elimination. However, currently, there is an increase in malaria cases again in Sabang City and the emergence of a new parasite species, namely Plasmodium knowlesi was transmitted through Macaca fascicularis. This study aims to analyze the influence of environmental, physical, chemical, and biological factors on the prevalence of malaria in Sabang City. This type of research is an observational survey with a cross-sectional design with a sampling technique using cluster-random sampling with a total sample of 100 houses in four research villages. Data was collected using interviews, inspections, and environmental observations carried out on 100 selected houses. Data was analyzed using statistics, univariate in the form of percentage distribution, Chi-square bivariate, and multivariate using logistic regression with the Stepwise method. Surveys of adult mosquitoes were caught at night, from 19.00 to 07.00 once in three houses in 4 villages in the research location. The results of this study showed that the physical environment (p=0.0001), the biological environment (p=0.021), and the chemical environment (p=0.011) were significantly associated with malaria cases. The physical environment was the most influential predictor of malaria cases (OR: 11.096).

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“…21 Penelitian di Distrik Heram Jayapura didapatkan hasil bahwa curah hujan mempengaruhi sebaran habitat positif larva nyamuk Anopheles spp. 22 Terdapat hubungan langsung antara hujan dan perkembangan larva nyamuk menjadi dewasa, besar kecilnya pengaruh tergantung pada jenis hujan, derasnya hujan, jumlah hari hujan, jenis vektor, dan jenis tempat perindukan. Hujan yang diselingi panas akan memperbesar kemungkinan berkembangbiaknya Anopheles.…”

Section: Bahasanunclassified

Kriteria Hujan Yang Berhubungan Dengan Kejadian Malaria Di Kabupaten Oku Selatan Tahun 2019

Arisanti¹,

Nurmaliani²

2021

J.SPIRAKEL

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Malaria masih menjadi masalah kesehatan di Indonesia. Untuk mengatasi masalah malaria pemerintah telah mencanangkan tentang program eliminasi malaria. Masih tingginya kasus malaria berkaitan dengan adanya perubahan lingkungan dan iklim dimana musim penghujan menjadi lebih panjang. Hujan menyebabkan bertambahnya tempat perkembangbiakan nyamuk vektor malaria. Data dalam penulisan ini merupakan data dari Dinas Kesehatan dan Badan Pusat Statistik Kabupaten OKU Selatan tahun 2019. Data dianalisis menggunakan pengujian statistik untuk mengetahui hubungan kriteria hujan dengan kejadian malaria di Kabupaten OKU Selatan pada tahun 2019. Kejadian malaria, curah hujan, dan jumlah hari hujan paling tinggi terjadi pada Bulan Februari yaitu 60 kasus dengan curah hujan 409,23 mm dan 18 hari hujan. Hasil analisis data menunjukkan kriteria banyak hujan dan lama memiliki angka mean rank yang paling tinggi dibandingkan dengan kriteria hujan lainnya. Nilai kemaknaan menunjukkan angka dibawah 0,05 sehingga dapat dikatakan bahwa ada hubungan antara kejadian malaria dengan kriteria hujan di Kabupaten OKU Selatan.

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Karakteristik dan Distribusi Spasial Habitat Positif Larva Nyamuk Anopheles spp. Berdasarkan Curah Hujan

Cited by 7 publications

References 8 publications

Anophelesspp. distribution and climatological niche modeling to predict malaria potential along bioclimatic envelope gradients in South Coast of West Java landscape

Anophelesspp. distribution and climatological niche modeling to predict malaria potential along bioclimatic envelope gradients in South Coast of West Java landscape

Kontribusi Faktor Determinan Lingkungan terhadap Prevalensi Kasus Malaria di Kota Sabang, Provinsi Aceh

Kriteria Hujan Yang Berhubungan Dengan Kejadian Malaria Di Kabupaten Oku Selatan Tahun 2019

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