ORCID Profile
0000-0002-4831-6536
Current Organisation
National Research and Innovation Agency
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Publisher: Universitas Airlangga
Date: 08-08-2022
DOI: 10.20473/IJTID.V10I2.36053
Abstract: Vector Borne Diseases are diseases that cause many problems. These diseases are spread by mosquitoes as the vectors. They transmit parasites to humans through their bites. The people who live in Indonesia have several characteristics that make them vulnerable to these diseases. Therefore, it is necessary to explore these characteristics in order to gain better prevention promotional targeting strategy. This study aims to determine the factors that can influence mosquito bite prevention behaviour in Indonesian society. The data from a nationwide survey research were used with a cross sectional design conducted once in every five years. The Riskesdas was conducted from April to May 2018 in all districts in Indonesia. The influencing factors observed were including experience of exposure to vector borne diseases (malaria or filariasis), gender, age group, education level and area of residence. This study conducted a multivariate test using logistic regression analysis to determine the factors that influence mosquito bite prevention behaviour. The results demonstrated that the factors of experience of exposure to vector borne diseases, gender, age group, education level and area of residence could determine the mosquitoes bite prevention behaviour in Indonesian society. Respondents who have experience of being exposed to malaria or filaria, under 60 years old, women, college graduates, and rural communities are more likely to prevent mosquito bites, therefore they could be empowered in promoting public awareness towards mosquito bites prevention.
Publisher: Universitas Airlangga
Date: 09-06-2023
DOI: 10.20473/AMNT.V7I2.2023.240-247
Abstract: Latar Belakang: Bayi lahir dengan panjang badan pendek merupakan salah satu prediktor penyebab stunting. Tujuan: Penelitian ini bertujuan untuk mengkaji determinan faktor panjang badan lahir yang merupakan faktor risiko stunting di kemudian hari. Metode: Desain observasional analitik dengan pendekatan cross-sectional yang menggunakan data sekunder Survei Status Gizi Indonesia (SSGI) tahun 2021. Populasi adalah semua rumah tangga biasa yang mewakili 33 provinsi. S el adalah bayi terdata pada studi SSGI 2021 di blok sensus Jawa Barat sebanyak 7.112 bayi. Data dikumpulkan adalah panjang badan bayi, berbagai faktor saat Ibu hamil bayi tersebut seperti usia Ibu, tempat tinggal, tingkat pendidikan Ibu, pekerjaan, kepemilikan JKN/Jamkesda, pernah mendapatkan tablet tambah darah, tempat melahirkan, penolong persalinan, kepemilikan kartu keluarga sejahtera, sosial ekonomi, dan jumlah anggota keluarga. Data dianalisis secara bivariat dan multivariat. Variabel yang memenuhi syarat dianalisis dengan uji regresi logistik berganda dengan ingkat kemaknaan p ,05. Hasil: Hasil analisis multivariat menunjukkan faktor mempengaruhi panjang badan anak saat lahir adalah kepemilikan jaminan kesehatan (JKN) dan penerimaan tablet tambah darah. Berdasarkan hasil penelitian ditemukan Ibu yang tidak memiliki jaminan kesehatan (JKN) beresiko untuk melahirkan bayi panjang badan pendek sebesar 4,526 kali. Ibu yang pernah menerima tablet tambah darah 0,196 kali lebih kecil kemungkinannya untuk memiliki bayi panjang badan pendek dibandingkan dengan Ibu yang tidak pernah menerima tablet tambah darah. Kesimpulan: Faktor yang mempengaruhi panjang badan lahir pendek adalah kepemilikan JKN/Jamkesmas dan penerimaan tablet tambah darah. Direkomendasikan perlu dilanjutkan intervensi gizi spesifik melalui pemberian tablet tambah darah dan juga intervensi gizi sensitif melalui program jaminan kesehatan dalam mencegah bayi lahir pendek.
Publisher: Springer Science and Business Media LLC
Date: 04-04-2019
Publisher: PAGEPress Publications
Date: 12-03-2021
DOI: 10.4081/GH.2021.948
Abstract: The aim of this study was to assess the role of climate variability on the incidence of dengue fever (DF), an endemic arboviral infection existing in Jakarta, Indonesia. The work carried out included analysis of the spatial distribution of confirmed DF cases from January 2007 to December 2018 characterising the sociodemographical and ecological factors in DF high-risk areas. Spearman’s rank correlation was used to examine the relationship between DF incidence and climatic factors. Spatial clustering and hotspots of DF were examined using global Moran’s I statistic and the local indicator for spatial association analysis. Classification and regression tree (CART) analysis was performed to compare and identify demographical and socio-ecological characteristics of the identified hotspots and low-risk clusters. The seasonality of DF incidence was correlated with precipitation (r=0.254, P .01), humidity (r=0.340, P .01), dipole mode index (r= –0.459, P .01) and Tmin (r= –0.181, P .05). DF incidence was spatially clustered at the village level (I=0.294, P .001) and 22 hotspots were identified with a concentration in the central and eastern parts of Jakarta. CART analysis showed that age and occupation were the most important factors explaining DF clustering. Areaspecific and population-targeted interventions are needed to improve the situation among those living in the identified DF high-risk areas in Jakarta.
Publisher: Springer Science and Business Media LLC
Date: 29-04-2019
Publisher: Public Library of Science (PLoS)
Date: 07-05-2020
No related grants have been discovered for Mara Ipa.