Control Of Environmental Risk Factors In The Case Of Dengue Fever At The Covid-19 Pandemic (Literature Review)
Abstract
Vector control efforts that have been carried out so far have been used to massively suppress mosquito density by using insecticides and mosquito genetic modification techniques. Analysis of environmental risk factors for dengue fever is one of the alternative solutions for better dengue control. The method used is a literature review by comparing research journals on risk factor analysis and mathematical models that affect cases of dengue fever. Results and discussion: the results of a literature review of three main risk factors, namely mosquito density RR 26.43, existence of breeding OR = 6.75; Habit of hanging used clothes OR = 5.12; while the variables that reduce cases of dengue fever are PHBS measures and 4 M efforts. This is because disease transmission is always through Aedes Sp. As a medium of transmission. Conclusion: mosquito density is the main determinant of increasing cases of dengue fever, while reducing cases is an effort to maintain environmental cleanliness.
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Aris Santjaka, 2016, Zika dalam Perspektif Vektor dan Upaya Pengendaliannya, disajikan dalam seminar nasional di Poltekkes Kemenkes Semarang, Purwokerto.
Pusat data dan Surveilans Epidemiologi Kemenkes RI, 2010, Buletin Jendela Epidemiologi Topik Utama Demam Berdarah Dengue, Jakarta.
WHO, Better environmental management for control of dengue, Health and Environment Linkages Policy Series, akses 25 Mei 2021.
Webber R, 2005, Communicable disease epidemiology and control. A global perspective. London school of hygiene and tropical medicine, London
Manson’s 2009, Tropical diseases Twenty second edition, Sounders, London.
Mlakar J, et al, 2016, Zika virus Associated with microcephaly, The New England Journal of Medicine, downloaded 19 sepetember 2016
Pusdatin Kemenkes, 2016, Situasi Demam Berdarah Dengue 2016, Jakarta. https://pusdatin.kemkes.go.id/ , akses 27 Mei 2021.
Kemenkes RI, 2020, Hingga Juli 2020 Kasus DBD di Indonesia Capai 71 Ribu, https://www.kemkes.go.id/ , akses 27 Mei 2021.
Ericha FW, 2018, Faktor Risiko yang Berpengaruh terhadap Kejadian Demam Berdarah Dengue di Wilayah Kerja Puskesmas Pare, Surabaya. https://ejournal.unair.ac.id.
Lia Ristiyanti, 2016, Analisis Faktor Risiko Lingkungan Rumah dan Praktik Manajemen Lingkungan Keluarga terhadap Kejadian Demam Berdarah Dengue, Semarang. https://lib.unnes.ac.id/28156/1/6411412184.pdf
Litbangkes RI,2019, Risk Factors of Dengue Fever Outbreak in Karo District, North Sumatera, Indonesia; Frans Yosep Sitepu1*, Elpiani Depari2, Saban Kemit, JHECDs, Journal of Health Epidemiology an Communicable Diseases.Jakarta. https://ejournal2.litbang.kemkes.go.id/index.php/jhecds/article/view/1545/1238
Muh. Jusman Rau, Adhar Arifuddin, Sylvia Afrianti, Pitriani, 2019, The Analysis of Environmental Risk and the Use of Repellent on Dengue Hemorrhagic Fever in Kamonji Public Health Center, Journal of Current Medical Research and Opinion, Amsterdam. http://cmro.in/index.php/jcmro/article/view/156
Novia WP, Sitti RU, Susi I, 2015, Analisis Faktor Risiko Lingkungan yang Mempengaruhi Kejadian Demam Berdarah Dengue dan Status Kerentanan Larva Nyamuk Aedes spp di Kecamatan Lubuk Basung Kabupaten Agam, Jogjakarta. http://etd.repository.ugm.ac.id/penelitian/detail/88684
Azizah GT, Faizah BR, Analisis Faktor Risiko Kejadian Demam Berdarah Dengue di Desa Mojosongo Kabupaten Boyolali, https://journal.kopertis6.or.id/index.php/eks/article/view/12
Nendi Septi Arniva, 2019, Pemodelan Dan Pemetaan Kasus Demam Berdarah Dengue Di Provinsi Jawa Timur Tahun 2014 Dengan Generalized Poisson Regression, Regresi Binomial Negatif Dan Flexibly Shaped Spatial Scan Statistic, ITS, Surabaya .
Ni Made Surya Jayanti, Wayan Sumarjaya, Made Susilawati, 2017, Pemodelan Penyebaran Kasus Demam Berdarah Dengue (DBD) di Kota Denpasar dengan Metode Spatial Autoregressive (SAR), e- Jurnal Matematika,Denpasar. https://ojs.unud.ac.id/index.php/mtk/article/view/27173/0
Tri WK, Sri A, Sudarto, Henny, 2018, Determination of Environmental Factors Affecting Dengue Incidence in Sleman District, Yogyakarta, Indonesia, African Journal Infectious Diseases, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876768/
K-K Liu, T Wang, X-D Huang, G-L Wang, Y Xia, Y-T Zhang, 2016, Risk Assessment of Dengue Fever in Zhongshan, China: a Time-Series Regression Tree Analysis, Epidemiology & Infection, Cambridge University Press.
Kanthi Devi Ayuningtyas, Setyo Sri Rahardjo, Bhisma Murti, 2019, Risk Factors of Dengue Fever: Application of PRECEDE – PROCEED Model Journal of Epidemiology and Public Health, Solo.
Edbras, 2010. Fisiologi serangga (artikel elektronik)., Akses 24 maret 2011. Universitas Soedirman. Purwokerto.
Gabriel JF, 2010. Fisika Kedokteran. Penerbit buku Kedokteran EGC. Jakarta.
Koestoer RA, 2002, Perpindahan kalor. Salemba teknika, Jakarta.
Departemen Kesehatan Republik Indonesia, 2007, Survey Entomologi Malaria, Direktorat Jendral Pemberantasan Penyakit Menular dan Penyehatan Lingkungan Pemukiman. Jakarta.
Ebed de Rosary, 2020, Perubahan Perilaku Nyamuk Demam Berdarah Terkait Iklim dan Lingkungan Picu Peningkatan Kasus, Mongabay situs berita lingkungan, Kupang.
NN, NY, Tinjauan Pustaka, Universitas Udayana, Denpasar. https://sinta.unud.ac.id/uploads/wisuda/1391261008-3-BAB%20II.pdf.
Manson’s 2009, Tropical diseases Twenty second edition, Sounders, London.
Marcus B, 2008, Deadly diseases and epidemic, Malaria second edition, Chelsea house publishers, NewYork.
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