ABSTRACT When the Covid-19 pandemic was established, various countries made efforts to prevent the transmission of the disease; Indonesia is no exception. One way to break the chain of transmission is to disinfect. This article is a scoping review with the aim of getting an overview of the implementation of disinfection in preventing Covid-19 transmission in public areas and possible health risks posed in several regions in Indonesia. The data/information were collected by searching websites of various ministries/institutions and online media within 3 (three) months, starting from March 2020 (establishment of the Covid-19 pandemic) until May 2020. Data and information collected includes location, procedures, and targets of disinfection, as well as disinfectants used, and their effects on health. Data analysis was performed descriptively. The results showed that disinfection in public areas were conducted in offices, health facilities (hospitals and health centers), housing, shopping centers/malls/market, transportation areas (highways, terminals, bus stops, and vehicles). Disinfection has been carried out by spraying directly on surfaces/objects that are often touched and by spraying in the disinfection booth using irritant disinfectants. It can be concluded that the implementation of disinfection in public areas has the potential to cause health risks. It needs supervision in the implementation of disinfection, socialization and education about potential health risks to the community. Keywords: Disinfection, spraying, disinfection booths, public areas, disinfectants, health risks ABSTRAK Saat ditetapkannya status pandemi Covid-19, berbagai negara melakukan upaya pencegahan penularan penyakit tersebut; tidak terkecuali Indonesia. Salah satu cara untuk memutus rantai penularan adalah dengan melakukan disinfeksi. Artikel ini merupakan scoping review dengan tujuan untuk mendapatkan gambaran pelaksanaan disinfeksi dalam pencegahan penularan Covid-19 di area publik dan kemungkinan risiko kesehatan yang ditimbulkan. Cara pengumpulan data/informasi adalah dengan penelusuran website berbagai kementerian/lembaga dan media online dalam kurun 3 (tiga) bulan, yaitu mulai Maret 2020 (penetapan pandemi Covid-19) sampai dengan Mei 2020. Data dan informasi yang dikumpulkan meliputi acuan, lokasi, cara, sasaran disinfeksi, serta disinfektan yang digunakan, dan pengaruhnya terhadap kesehatan. Analisis data dilakukan secara deskriptif. Hasil menunjukkan bahwa disinfeksi di area publik, di perkantoran, fasilitas kesehatan (rumah sakit dan puskesmas), perumahan, pusat perbelanjaan/mall/pasar, dan area transportasi (jalan raya, terminal, halte, dan kendaraan) dilakukan dengan cara penyemprotan langsung terhadap permukaan/benda yang sering disentuh dan di dalam bilik disinfeksi, menggunakan disinfektan yang bersifat iritatif. Pelaksanaannya disinfeksi di beberapa area publik masih belum sesuai dengan Protokol/Pedoman Disinfeksi dalam Pencegahan Penularan Covid-19 sehingga berportensi menimbulkan risiko kesehatan. Dapat disimpulkan bahwa pelaksanaan disinfeksi di area publik berpotensi menimbulkan risiko kesehatan. Perlu adanya pengawasan dalam pelaksanaan disinfeksi dan sosialisasi serta edukasi tentang potensi risiko kesehatan terhadap masyarakat. Kata kunci: Disinfeksi, penyemprotan, bilik disinfeksi, area publik, disinfektan, risiko kesehatan
Background: As the second-highest country in tuberculosis (TB) cases globally, Indonesia has experienced an increasing trend of notification rate in the last ten years; however, the 34 provinces may have different risks. This study aims to examine TB risk variation across Indonesia in 2010-2019. Methods: A descriptive analysis was conducted on TB routine data of 2010-2019 from the Ministry of Health. Cases included all types of TB patients. Total cases, incidence rate (IR), and standardized morbidity ratio (SMR) were calculated for each province and national level during the period. Distributions of IRs and SMRs were displayed on maps. Results: During 2010-2019, 3,866,447 TB cases occurred in Indonesia, and the national IR was 1,523 per 100,000 populations. The highest proportion of cases and IR were in West Java (20.6%, 314 per 100,000); while the lowest was in North Kalimantan (0.2%, 3 per 100,000). Higher risks of TB occurred in DKI Jakarta (SMR 1.9), Papua (1.7), North Sulawesi (1.7), Maluku (1.5) and West Papua (1.5) among others. The smallest SMRs were found in Bali and Yogyakarta (0.5). Conclusion: TB risk varied across Indonesia in 2010-2019, with a higher risk in DKI Jakarta and several provinces in eastern Indonesia. Given the underreporting nature of routine data, validation is required when using the finding of this study in the local-level intervention. Keywords: tuberculosis, TB, standardized morbidity ratio, spatial variation, risk Abstrak Latar belakang: Sebagai negara dengan jumlah kasus tuberkulosis (TB) terbesar kedua di dunia, Indonesia menunjukkan tren peningkatan notification rate di sepuluh tahun terakhir. Akan tetapi, risiko TB di 34 provinsi bisa saja berbeda-beda. Artikel ini bertujuan mengkaji variasi risiko TB di Indonesia pada tahun 2010-2019. Metode: Data rutin TB tahun 2010-2019 dari Kementerian Kesehatan dianalisis secara deskriptif. Kasus TB didefinisikan sebagai semua tipe pasien TB. Total jumlah kasus, incidence rate (IR), dan standardized morbidity ratio (SMR) dihitung untuk tiap provinsi dan tingkat nasional selama periode tersebut. Sebaran IR dan SMR diplot di atas peta. Hasil: Selama 2010-2019, terdapat 3.866.447 kasus TB dan IR nasional 1.523 per 100.000 populasi. Proporsi kasus dan IR terbesar ada di Jawa Barat (20,6%, 314 per 100.000) dan terkecil di Kalimantan Utara (0,2%, 3 per 100.000). Risiko TB lebih tinggi di antaranya terjadi di DKI Jakarta (SMR 1,9), Papua (1,7), Sulawesi Utara (1,7), Maluku (1,5) dan Papua Barat (1,5). Standardized Morbidity Ratio terendah ditemukan di Bali dan Yogyakarta (0,5). Kesimpulan: Dapat disimpulkan bahwa risiko TB beragam di seluruh Indonesia selama 2010-2019, di mana DKI Jakarta dan beberapa provinsi di timur Indonesia memiliki risiko lebih tinggi. Mengingat adanya kurang lapor dalam data rutin, validasi diperlukan jika menggunakan temuan studi ini dalam intervensi di tingkat lokal. Kata kunci: tuberkulosis, TB, standardized morbidity ratio, variasi spasial, risiko
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