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The surge in HMPV cases in China has been in the media spotlight and is related to risk communication and how messages are conveyed, which shape public perception through media bias and interests. This study aims to identify the extent to which reporting on Human Metapneumovirus (HMPV) on Detik.com, Kompas.com, and Liputan6.com from December 1, 2024, to February 28, 2025, aligns with WHO risk communication guidelines using content analysis methods. The results of this study indicate that, out of 296 articles analyzed, most have not fully adhered to WHO risk communication guidelines. The pillars of risk communication in building public trust have not been optimally applied, as evidenced by over 30% of articles failing to provide basic information about HMPV. The most found information about HMPV is related to its symptoms, while the least common is information about its management. The pillar of integrating risk communication into the health system is evidenced by the availability of HMPV epidemiological data reports, though these are limited to HMPV case data in Indonesia and HMPV case data from other countries. The pillar of risk communication practices is not optimally pursued by the media, as evidenced by the limited information provided on health efforts and policies. Liputan6.com is the online media outlet that best meets the principles of risk communication, as evidenced by the high percentage of basic information on HMPV, disease characteristics, epidemiological data from abroad, and health efforts by the Indonesian government and health facilities. Kompas.com and Detik.com contain more information sourced from the government, while Liputan6.com contains more information sourced from experts. News articles without sources were most found on Detik.com. Not all news articles met risk communication guidelines because the type of message was dominated by threat-based messages rather than efficacy-based messages. Detik.com published the most threat-based messages while having the fewest efficacy-based messages. 49% of articles contained commercial bias in the form of repeated and duplicated information across different articles, most foundon Detik.com. The media's message delivery strategy is reflected through article headlines that predominantly highlight HMPV events, conclusions that support HMPV issues, descriptive storytelling styles that often include solutions for HMPV management, accompanied by a dominant emphasis on facts through a combination of text and visual elements.
Dengue merupakan penyakit infeksi virus yang ditularkan melalui nyamuk Aedes aegypti dan menjadi tantangan kesehatan masyarakat di Indonesia. Pada tahun 2024, Kota Depok mencatat 5.040 kasus dengue (IR 266/100.000 penduduk) dengan 13 kematian (CFR 0,25%), jauh melebihi target nasional (IR ≤10/100.000). Penelitian ini bertujuan untuk menganalisis faktor risiko kejadian dengue secara spasial di Kota Depok tahun 2024 dengan menggunakan pendekatan mix-method. Penelitian ini menggunakan desain cross-sectional untuk pendekatan kuantitatif dengan data sekunder dan pendekatan explanatory untuk kualitatif melalui wawancara mendalam. Analisis spasial dilakukan menggunakan perangkat lunak QGIS dan GeoDa. Variabel yang dianalisis meliputi jenis kelamin, usia, kepadatan penduduk, perilaku hidup bersih dan sehat (PHBS), serta angka bebas jentik (ABJ). Kasus dengue menunjukkan pola spasial mengelompok dengan autokorelasi spasial pada variabel-variabel yang diteliti. Model Spatial Error Model (SEM) memberikan hasil terbaik dengan nilai AIC terendah (657,88) dan R² sebesar 0,276. Efek spasial eror sebesar 37,4% menunjukkan pengaruh dari wilayah sekitar terhadap penyebaran kasus dengue. Kepadatan penduduk ditemukan sebagai variabel signifikan yang berhubungan dengan kejadian dengue. Wilayah prioritas untuk intervensi meliputi Kelurahan Bedahan, Rangkapan Jaya Baru, Depok Jaya, Mampang, dan Cisalak. Pendekatan spasial efektif dalam mengidentifikasi wilayah risiko tinggi dengue dan variabel yang memengaruhi penyebarannya. Disarankan agar intervensi dengue lebih difokuskan pada wilayah dengan kepadatan tinggi, peningkatan edukasi PHBS, integrasi analisis spasial dalam perencanaan program, serta koordinasi lintas sektor. Strategi ini diharapkan dapat meningkatkan efektivitas pengendalian dengue yang berbasis data dan wilayah.
Dengue is a viral infection transmitted by Aedes aegypti mosquitoes and remains a significant public health threat in Indonesia. In 2024, the city of Depok reported 5,040 dengue cases (IR 266/100,000 population) and 13 deaths (CFR 0.25%), far exceeding the national target of IR ≤10/100,000. This study aims to spatially analyze the risk factors associated with dengue incidence in Depok City in 2024 using a mixed-methods approach. A cross-sectional ecological design was used for the quantitative component, supported by secondary data, while the qualitative component followed an explanatory design through in-depth interviews. Spatial analysis was conducted using QGIS and GeoDa. The variables analyzed included gender, age, population density, household-level Clean and Healthy Living Behavior (PHBS), and larva-free index (ABJ). Dengue cases exhibited a clustered spatial pattern with spatial autocorrelation across the studied variables. The Spatial Error Model (SEM) yielded the best performance with the lowest AIC (657.88) and R² of 0.276. A spatial error effect of 37.4% indicated that neighboring areas influence dengue transmission. Among all variables, population density was significantly associated with dengue incidence. Priority intervention areas identified were Bedahan, Rangkapan Jaya Baru, Depok Jaya, Mampang, and Cisalak sub-districts. A spatial approach is effective in identifying high-risk areas and key factors influencing dengue transmission. It is recommended that dengue prevention programs prioritize high-density areas, strengthen PHBS education, integrate spatial analysis into health program planning, and enhance cross-sector coordination. These strategies are expected to improve the effectiveness of dengue control efforts based on spatial and epidemiological data.
