Predominant clinical symptom of influenza A in pre-school children (3-6 years old)

Ikawati, Hartanti Dian; Roselinda, Roselinda; Yekti, Rabea Pangerti; Setiawaty, Vivi

doi:10.22435/hsji.v7i2.5473.80-83

Cited by 2 publications

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“…8 Data on underlying medical conditions and patient outcomes can be used to identify risk groups for future preventive measures including vaccination. 9 The system exceeded the targets of >80% adherence for most attributes: 95% for completeness of online reporting, 100% for cases adhering to the case definition, 94% for cases with specimens collected and 100% of laboratory results uploaded to the online database. The timeliness of each site's online reporting of cases increased over time but only 14-52% of cases were reported by the targeted Monday midnight deadline.…”

Section: Surveilans Infeksi Saluran Pernapasan Akut Beratmentioning

confidence: 94%

Surveillance for Severe Acute Respiratory Infection as one approach to enhance Global Health Security in Indonesia

Wignjadiputro¹,

Susilarini²,

Praptiningsih³

et al. 2018

hsji

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Latar Belakang: Sistem surveilans nasional untuk infeksi saluran pernafasan akut berat (SARI) dapatmemberikan informasi penting tentang sirkulasi virus influenza, menyediakan sistem untuk mengendalikankejadian luar biasa yang mengancam keamanan dan keselamatan masyarakat serta menyediakandata untuk sistem surveilans influenza global (GISRS). Kemampuan Indonesia untuk mendeteksi dan mengendalikanpenyakit menular penting untuk keamanan kesehatan dunia. Penelitian ini bertujuan untukmenilai sistem surveilans ISPA berat Indonesia (SIBI) dan pemanfaatan untuk memantau patogen prioritaslainnya sebagai upaya meningkatkan keamanan kesehatan global. Metode: penilaian atribut surveilans melalui review laporan, analisis data dan interview staff yang terlibatdalam sistem surveilans. Semua kasus yang memenuhi kriteria SARI pada bulan Mei 2013 – April 2015 ikutserta dalam penelitian. Data epidemiologi dan virologi dianalisis. Kelengkapan dan kemudahan sistem untukmencapai tujuan surveilans influenza dan mendukung surveilans penyakit infeksi baru (emerging) dikaji. Hasil: Sebanyak 1,806 kasus SARI dan 1,697 (94%) spesimen dilakukan pemeriksaan virus influenza.Sebanyak 200 (12%) positif influenza, terdiri dari 46% influenza A(H3N2), 18% A(H1N1)pdm09 dan 37%influenza B. Hasil penilaian terhadap sistem surveilans didapatkan kesesuaian pelaksanaan untuk semuaatribut surveilans melebihi target >80%, kelengkapan laporan online 95%, kesesuaian kasus terhadapdefinisi kasus 100%, kasus yang diambil spesimen 94% dan hasil laboratorium diinput ke database secaraonline 100%. Sistem surveilans untuk dengue dan infeksi arbovirus lainnya sudah terlaksana di unitrawat jalan dan gawat darurat di sentinel SARI surveilans. Kesimpulan: SIBI dapat disesuaikan untuk menggabungkan surveilans penyakit lain yang menunjukkankegunaan dan fleksibilitas dalam mendukung keamanan kesehatan global. Kata kunci: keamanan kesehatan global, surveilans, influenza, Indonesia AbstractBackground: The existing national surveillance system for severe acute respiratory infection (SARI) providescritical information on influenza virus circulation, provides a system to control influenza outbreaks that threatenthe safety and security of the population and feeds data into the global influenza surveillance and responsesystem (GISRS). Indonesia’s ability to detect and control communicable diseases is critical for global healthsecurity. The aim of this study was to assess the SARI surveillance system and utility for monitoring other prioritypathogens as an effort to enhance global health security. Methods: Surveillance attributes were assessed by reviewing records, data analysis and through interviewedwith staffs involved in the surveillance system. All patients at six sentinel hospitals who meet the SARI casedefinition during May 2013 – April 2015 were enrolled. Epidemiological and virological data were analyzed.The surveillance system utility for its influenza surveillance objectives and flexibility to support surveillance ofemerging infectious diseases were assessed. Resuts: A total of 1,806 SARI cases were reported of which 1,697 (94%) had specimens tested for influenza viruses.Of those tested, 200 (12%) were positive, of which 46% were influenza A(H3N2), 18% A(H1N1)pdm09and 37% influenza B viruses. The system exceeded the targets of >80% adherence for most attributes: 95% forcompleteness of online reporting, 100% for cases adhering to the case definition, 94% for cases with specimenscollected and 100% of laboratory results uploaded to the online database. A surveillance system for dengue andother arbovirus infections was established in the outpatient/emergency units at the SARI surveillance sentinel.Conclusion: SIBI was adjusted to incorporate surveillance for other priority diseases indicating its utility andflexibility to support global health security Keywords: Global Health Security, surveillance, influenza, Indonesia

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Section: Surveilans Infeksi Saluran Pernapasan Akut Beratmentioning

confidence: 94%

Surveillance for Severe Acute Respiratory Infection as one approach to enhance Global Health Security in Indonesia

Wignjadiputro¹,

Susilarini²,

Praptiningsih³

et al. 2018

hsji

Self Cite

View full text Add to dashboard Cite

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“…25 Studies state that the altitude of a place ≤100 meters above sea level has a 2.3 times higher risk of being infected with Leptospira compared to an altitude of 101-600 meters above sea level. 26 The results of the overlay of cases and flood history in Kebumen Regency show that the majority of leptospirosis cases occur in flooded areas. Flood conditions will make rat nests waterlogged so that rats will come out of hiding places and move to human settlement environments where this is a chance of developing a risk of leptospirosis transmission due to contact with rats.…”

Section: Table1 Distribution Of Leptospirosis Case Frequency In 2021-...mentioning

confidence: 99%

Spatial Analysis of Environmental Conditions in The Incidence of Leptospirosis in Kebumen Regency

Nugroho

Adi

Nurjazuli

2023

Jurnal Kesehatan Lingkungan Indonesia

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Judul: Analisis Spasial Kondisi Lingkungan pada Kejadian Leptospirosis di Kabupaten Kebumen Latar belakang: Kabupaten Kebumen tercatat ada 23 kasus leptospirosis tahun 2021 dan 37 kasus leptospirosis tahun 2022 hingga Bulan Agustus. Salah satu upaya penanggulangan dan pencegahan penyakit yaitu spasial penyakit berbasis lingkungan. GIS (Geographic Information System) bermanfaat untuk mengetahui pola spasial penyakit yang berkaitan dengan lingkungan. Tujuan dari penelitian ini adalah mengetahui distribusi dan melakukan analisis spasial faktor lingkungan terhadap kejadian leptospirosis di Kabupaten Kebumen.Metode: Jenis penelitian adalah observasional analitik dengan desain secara cross sectional melalui pendekatan spasial. Jumlah sampel sebesar 56 kasus leptospirosis di Kabupaten Kebumen tahun 2021 dan tahun 2022 hingga bulan Agustus. Pengumpulan data titik koordinat rumah kasus menggunakan alat GPS (Global Positioning System). Pengambilan data dilakukan selama 2 bulan. Analisis data dilakukan melalui ArcGIS 10.3, dan SaTScan 10.1.Hasil: Distribusi kasus leptospirosis di Kabupaten Kebumen tersebar di 20 Kecamatan, 12,5% kasus ditemukan di Kecamatan Kutowinangun, mayoritas sebesar 32,14% kasus berumur 50-59 tahun, 83,93% kasus diderita laki-laki, 48,21% kasus berpendidikan rendah (SD) dan 66,07% kasus bekerja sebagai petani. Hasil analisis spasial menunjukkan 54% kasus tinggal di wilayah dengan kepadatan penduduk rendah (417-1025 jiwa/km2), 76,79% ketinggian tempat 0-100 mdpl, punya riwayat banjir, 80,36% di wilayah pedesaan, 57,14% kasus berada > 1 km dari sungai, 87,5% kasus berada pada radius <500 m dengan sawah, dan terbentuk pola cluster yang signifikan (p value = 0.0015) yang berlokasi di Kecamatan Mirit. Simpulan: Kasus leptospirosis banyak ditemukan di wilayah pedesaan dengan kepadatan penduduk rendah, berada di wilayah dataran rendah, daerah kasus pernah mengalami riwayat banjir, lokasi kasus dengan sungai radius > 1 km, lokasi kasus dengan sawah radius <500 m, dan terjadi kluster di Kecamatan Mirit. Kegiatan pengendalian terpadu maupun pencegahan dapat difokuskan pada daerah kluster tersebut. ABSTRACTBackground: Kebumen Regency recorded 23 cases of leptospirosis in 2021 and 37 cases of leptospirosis in 2022 until August. One of the efforts to overcome and prevent disease is the environment-based spatial disease. GIS (Geographic Information System ) is useful for knowing the spatial patterns of diseases related to the environment. The purpose of this study is to determine the distribution and conduct a spatial analysis of environmental factors on the incidence of leptospirosis in Kebumen Regency.Method: The type of research is analytic observational with cross-sectional design through a spatial approach. The number of samples was 56 cases of leptospirosis in Kebumen Regency in 2021 and 2022 until August. Data collection of home case coordinates using GPS (Global Positioning System) tools. Data collection is carried out for 2 months. Data analysis was performed using ArcGIS 10.3, and SaTScan 10.1.Result: The distribution of leptospirosis cases in Kebumen Regency is spread across 20 sub-districts, 12.5% of cases are found in Kutowinangun district, the majority of 32.14% of cases are aged 50-59 years, 83.93% of cases are suffered by men, 48.21% of cases are low-educated and 66.07% of cases of working as farmers. The results of the spatial analysis showed that 54% of cases lived in areas with low population density (417-1025 people / km2), 76.79% of altitude of 0-100 meters above sea level, had a history of flooding, 80.36% in the rural areas, 57.14% of cases were > 1 km from the rivers, 87.5% of cases were in a radius of <500 m with rice fields, and a significant cluster pattern was formed (p-value = 0.0015) located in Mirit District.Conclusion: Leptospirosis cases are found in rural areas with low population density in lowland areas, case areas that have experienced a history of flooding, case locations with rivers with a radius of > 1 km, case locations with rice fields with a radius of <500 m, and clusters occur in Mirit District. Integrated control and prevention activities can be focused on the cluster area.

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Predominant clinical symptom of influenza A in pre-school children (3-6 years old)

Cited by 2 publications

References 0 publications

Surveillance for Severe Acute Respiratory Infection as one approach to enhance Global Health Security in Indonesia

Surveillance for Severe Acute Respiratory Infection as one approach to enhance Global Health Security in Indonesia

Spatial Analysis of Environmental Conditions in The Incidence of Leptospirosis in Kebumen Regency

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