Climate factors and dengue fever occurrence in Makassar during period of 2011–2017

Dengue is now a major health concern in sub-Saharan Africa. Understanding the influence of local meteorological factors on the incidence of dengue is an important element for better prediction and control of this disease. This study aims to assess the impact of meteorological factors on dengue transmission in the central region of Burkina Faso. We analyzed the lagged effects of meteorological factors on the weekly incidence of dengue from 2017 to 2019 in the central region of Burkina Faso using a General Additive Model. The results show that maximum and minimum temperature, relative humidity, and wind speed have a significant non-linear effect on dengue cases in the region with 83% of case variance explained. The optimal temperature that increases dengue cases was 27°C to 32°C for the maximum temperature and 18°C to 20°C for the minimum temperature with a decrease beyond that. The maximum temperature shifted by six weeks had the best correlation with dengue incidence. The estimated number of dengue cases increases as the maximum relative humidity increases from 15 to 45% and then from 60 to 70%. In general, an increase in daily wind speed is estimated to decrease the number of daily dengue cases. The relationship between rainfall and dengue cases was not significant. This study provides local information about the effect of meteorological factors on dengue that should help improve predictive models of dengue cases in Burkina Faso and contribute to the control of this disease.

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“…In Andi Susilawaty’s study in Makassar, humidity had the strongest and most stable correlation with dengue cases. 26 …”

Section: Discussionmentioning

confidence: 99%

Climate factors and dengue fever in Burkina Faso from 2017 to 2019

Ouattara

Traore

et al. 2022

J. Public Health Afr.

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“…These findings indicate a significant correlation between dengue prevalence and temperature ( Monintja et al., 2021 ). Another study conducted in Makassar, Indonesia employed the generalized estimating equations method (GEE) to analyze the correlation between dengue cases and climate, which presented a significant negative correlation ( Susilawaty et al., 2021 ). Given that Indonesia is located in a tropical region with high average annual temperatures, the reduced survival rate and daily activity of mosquitoes could potentially decrease the dengue transmission.…”

Section: Temperature Affects the Prevalence Of Denguementioning

confidence: 99%

The effect of temperature on dengue virus transmission by Aedes mosquitoes

Liu,

Zhang,

et al. 2023

Front. Cell. Infect. Microbiol.

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Dengue is prevalent in tropical and subtropical regions. As an arbovirus disease, it is mainly transmitted by Aedes aegypti and Aedes albopictus. According to the previous studies, temperature is closely related to the survival of Aedes mosquitoes, the proliferation of dengue virus (DENV) and the vector competence of Aedes to transmit DENV. This review describes the correlations between temperature and dengue epidemics, and explores the potential reasons including the distribution and development of Aedes mosquitoes, the structure of DENV, and the vector competence of Aedes mosquitoes. In addition, the immune and metabolic mechanism are discussed on how temperature affects the vector competence of Aedes mosquitoes to transmit DENV.

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“…Hasil ini sejalan dengan studi penelitian yang dilakukan Susilawaty (2021) variabel iklim yang terkait dengan kasus DBD tahun 2011-2017 di Kota Makassar dimana hasil regresi linear Generalized Linear Models (GLM) diperoleh korelasi positif [ꞵ=1,33; 95%CI (0,81-1,85)] dan asosiasi signifikan variabel kelembaban terhadap kasus DBD (p = 0,0001). 29 Suhu udara dan curah hujan adalah dua faktor utama yang mengatur kondisi lingkungan yang sesuai untuk penularan sebagian besar penyakit menular yang disebabkan oleh nyamuk, seperti Zika dan demam dengue. Penelitian sebelumnya, baik di laboratorium maupun lapangan, telah secara kuantitatif memperkirakan dampak suhu terhadap karakteristik vektor, yang menunjukkan adanya hubungan positif antara suhu udara normal dan karakteristik vektor seperti tingkat gigitan dan kecepatan inkubasi yang singkat.…”

Section: Materi Dan Metodeunclassified

Perubahan Iklim Terhadap Kasus DBD di Kabupaten Jayapura Tahun 2014-2021

Sandy

2024

Jurnal Kesehatan Lingkungan Indonesia

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Latar belakang: Demam berdarah dengue (DBD) merupakan salah satu masalah kesehatan di Indonesia, Kasus DBD hampir ditemukan sepanjang tahun kasus DBD di wilayah Indonesia terutama pada awal masa penghujan. Kasus DBD di Jayapura merupakan permasalahan kesehatan sejak ditemukan kasus ini di tahun 1979. Studi ini bertujuan menganalisis factor iklim dan kepadatan penduduk terhadap kejadian DBD di Kabupaten Jayapura Tahun 2014-2021.Metode: Studi analisis menggunakan data kasus DBD Tahun 2014-2021 dari Laporan Profil Kesehatan Kabupaten Jayapura. Data factor iklim menggunakan data Laporan Kabupaten Jayapura dalam Angka Tahun 2014-2022 dari BPS Kabupaten Jayapura. Data dianalisis secara deskriptif kemudian dilakukan analisis bivariat uji spearman. Analisis regresi multivariat menggunakan uji regresi linear untuk melihat seberapa besar pengaruh factor iklim dan kepadatan penduduk terhadap kejadian DBD di Kabupaten Jayapura.Hasil: hasil analisis statistik uji Rank Spearman menemukan adanya hubungan faktor iklim curah hujan terhadap kasus DBD di Kabupaten Jayapura (p=0.04) dengan korelasi positif (r= 0,7). analisis menggunakan model regresi multivariat (regresi linear) ditamukan asosiasi faktor iklim curah hujan ꞵ=0,06; 95%CI (0,005-0,064); kelembaban ꞵ= 10,15; 95%CI(9,55-10,75); suhu ꞵ= 28,35; 95%CI (27,10-29,61), kecepatan angin ꞵ= terhadap kasus DBD. Ditemukan juga asosiasi kepadatan penduduk terhadap kejadian DBD dikabupaten Jayapura ꞵ=2,9; 95%CI (2,50-3,39). Hasil model persamaan regresi linear multivariat Generalized Linear Models (GLM) adalah: Y(Kasus DBD) = -1211,721 + 10,148*(Kelembaban) + 28,354*(Kecepatan angin) + 2,945*(Kepadatan Penduduk) + 0,0060*(Curah hujan).Simpulan: Faktor iklim curah hujan, kelembaban, suhu, kecepatan angin dan faktor kepadatan penduduk merupakan faktor penting yang berasosiasi dengan kejadian DBD dikabupaten Jajayapura. Mengetahui pola perubahan iklim dapat membantu dalam mencegah terjadinya kejadian luar biasa DBD di wilayah Kabupaten Jayapura. ABSTRACTTitle: The impact of climate change on Dengue Fever cases in Jayapura Regency from 2014 to 2021.Background: Dengue hemorrhagic fever (DHF) is a health problem in Indonesia, especially during the early rainy season. DHF cases in Jayapura Regency have been a health concern since the first case was reported in 1979. This study aims to analyze the climate and population density factors associated with DHF occurrences in Jayapura Regency from 2014 to 2021.Methods: This analytical study used DHF case data from 2014 to 2021 obtained from the Health Profile Report of Jayapura Regency. Climate factor data were derived from the Jayapura Regency in Figures Report 2014-2022 by the Central Bureau of Statistics of Jayapura Regency. The data were analyzed descriptively and then subjected to bivariate analysis using Spearman's test. Multivariate regression analysis was performed using linear regression to assess the magnitude of the influence of climate and population density factors on DHF occurrences in Jayapura Regency.Results: The results of the statistical analysis using Spearman's Rank test found a significant relationship between rainfall and Dengue Fever (DF) cases in Jayapura District (p=0.04) with a positive correlation (r=0.7). The multivariate regression analysis (linear regression) revealed associations between rainfall (β=0.06; 95%CI 0.005-0.064), humidity (β=10.15; 95%CI 9.55-10.75), temperature (β=28.35; 95%CI 27.10-29.61), wind speed (β=), and DF cases. Additionally, an association between population density and DF occurrence in Jayapura District was found (β=2.9; 95%CI 2.50-3.39). The results of the multivariate Generalized Linear Models (GLM) regression equation are as follows: Y [DF cases] = -1211.721 + 10.148*[Humidity] + 28.354*[Wind speed] + 2.945*[Population Density] + 0.0060*[Rainfall].Conclusion: Climate factors such as rainfall, humidity, temperature, wind speed, and population density are important factors associated with DHF occurrences in Jayapura Regency. Understanding climate change patterns can help prevent DHF outbreaks in the Jayapura Regency area.

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Climate factors and dengue fever occurrence in Makassar during period of 2011–2017

Cited by 9 publications

References 11 publications

Climate factors and dengue fever in Burkina Faso from 2017 to 2019

Climate factors and dengue fever in Burkina Faso from 2017 to 2019

The effect of temperature on dengue virus transmission by Aedes mosquitoes

Perubahan Iklim Terhadap Kasus DBD di Kabupaten Jayapura Tahun 2014-2021

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