scholarly journals A retrospective study on the epidemiological characteristics and establishment of an early warning system of severe COVID‐19 patients

2020 ◽  
Vol 92 (10) ◽  
pp. 2173-2180 ◽  
Author(s):  
Ping Yang ◽  
Pengfei Wang ◽  
Yuyan Song ◽  
An Zhang ◽  
Guodan Yuan ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Epidemiological Characteristics

scholarly journals Retrospective Study on the Seasonal Forecast-Based Disease Intervention of the Wheat Blast Outbreaks in Bangladesh

2020 ◽  
Vol 11 ◽  
Author(s):  
Kwang-Hyung Kim ◽  
Eu Ddeum Choi
Keyword(s):  
Retrospective Study ◽  
Risk Prediction ◽  
Early Warning ◽  
Early Warning System ◽  
Disease Risk ◽  
National Level ◽  
Warning System ◽  
Seasonal Forecast ◽  
Seasonal Forecasts ◽  
Wheat Blast

Seasonal disease risk prediction using disease epidemiological models and seasonal forecasts has been actively sought over the last decades, as it has been believed to be a key component in the disease early warning system for the pre-season planning of local or national level disease control. We conducted a retrospective study using the wheat blast outbreaks in Bangladesh, which occurred for the first time in Asia in 2016, to study a what-if scenario that if there was seasonal disease risk prediction at that time, the epidemics could be prevented or reduced through prediction-based interventions. Two factors govern the answer: the seasonal disease risk prediction is accurate enough to use, and there are effective and realistic control measures to be used upon the prediction. In this study, we focused on the former. To simulate the wheat blast risk and wheat yield in the target region, a high-resolution climate reanalysis product and spatiotemporally downscaled seasonal climate forecasts from eight global climate models were used as inputs for both models. The calibrated wheat blast model successfully simulated the spatial pattern of disease epidemics during the 2014–2018 seasons and was subsequently used to generate seasonal wheat blast risk prediction before each winter season starts. The predictability of the resulting predictions was evaluated against observation-based model simulations. The potential value of utilizing the seasonal wheat blast risk prediction was examined by comparing actual yields resulting from the risk-averse (proactive) and risk-disregarding (conservative) decisions. Overall, our results from this retrospective study showed the feasibility of seasonal forecast-based early warning system for the pre-season strategic interventions of forecasted wheat blast in Bangladesh.

scholarly journals Analysis on epidemiological characteristics of food poisoning events in Agadir prefecture, Morocco, from 2015 to 2017

2021 ◽  
Vol 319 ◽  
pp. 01028
Author(s):  
Youssef Bouchriti ◽  
Belkacem Kabbachi ◽  
Abderrahmane Achbani ◽  
Bouchra Ben Daoud ◽  
Noura Zag ◽  
...  
Keyword(s):  
Early Warning ◽  
Rural Areas ◽  
Early Warning System ◽  
Food Poisoning ◽  
Meat Products ◽  
Warning System ◽  
Public Health Problem ◽  
Morbidity Rate ◽  
Food Contaminants ◽  
Epidemiological Characteristics

Food poisoning is a significant public health problem. The aim of this study was to investigate the epidemiological characteristics of food poisoning events in Agadir prefecture in Morocco. Data on food poisoning events was compiled and analyzed from 2015 to 2017. The food poisoning database was created using Excel software, and the data was classified for statistical analysis. In Agadir prefecture, 11 food poisoning events were recorded over the past three years, involving 163 persons and resulting in two deaths. There were 7 and 4 events in the urban and rural areas, respectively. Females were most exposed (67.5%). The annual average morbidity rate was 27.2/100,000, the global lethality rate was 1.3%, and an average of 14.8 persons was involved in a poisoning event. Adolescents make up a quarter of the cases. Most cases occurred in closed communities. The foods involved in these poisoning events were eaten raw. The most common food related with poisoning was meat products. Only six events had samples taken for microbiological testing of the food remaining implicated in the outbreak of these events, and the findings revealed that Salmonella and Escherichia coli were identified in four of the six events, while Candida albicans and total coliforms were detected in two of the six events. Foodborne illness prevention and control should be carried out in closed communities by improving food safety supervision, implementing an effective food poisoning early-warning system, and establishing a surveillance, inspection, and early-warning system for food contaminants and foodborne diseases.

MODIFIKASI ASESMEN EARLY WARNING SYSTEM UPAYA PENINGKATAN PENERAPAN KESELAMATAN PASIEN

2020 ◽  
Vol 6 (2) ◽  
pp. 112
Author(s):  
Veronika Hutabarat ◽  
Enie Novieastari ◽  
Satinah Satinah
Keyword(s):  
Action Research ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Planning Action

Salah satu faktor dalam meningkatkan penerapan keselamatan pasien adalah ketersediaan dan efektifitas prasarana dalam rumah sakit. Early warning system (EWS) merupakan prasarana dalam mendeteksi perubahan dini  kondisi pasien. Penatalaksanaan EWS masih kurang efektif karena parameter dan nilai rentang scorenya belum sesuai dengan kondisi pasien. Tujuan penulisan untuk mengidentifikasi efektifitas EWS dalam penerapan keselamatan pasien. Metode penulisan action research melalui proses diagnosa, planning action, intervensi, evaluasi dan  refleksi. Responden dalam penelitian ini adalah  perawat yang bertugas di area respirasi dan pasien dengan kasus kompleks respirasi di Rumah Sakit Pusat Rujukan Pernapasan Persahabatan Jakarta. Analisis masalah dilakukan dengan menggunakan diagram fishbone. Masalah yang muncul belum optimalnya implementasi early warning system dalam penerapan keselamatan pasien. Hasilnya 100% perawat mengatakan REWS membantu mendeteksi kondisi pasien, 97,4 % perawat mengatakan lebih efektif dan 92,3 % perawat mengatakan lebih efesien mendeteksi perubahan kondisi pasien. Modifikasi EWS menjadi REWS lebih efektif dan efesien dilakukan karena disesuaikan dengan jenis dan kekhususan Rumah Sakit dan berdampak terhadap kualitas asuhan keperawatan dalam menerapkan keselamatan pasien. Rekomendasi perlu dilakukan monitoring evaluasi terhadap implementasi t.erhadap implementasi REWS dan pengembangan aplikasi berbasis tehnologi

Development of a Pediatric Early Warning System Using Data-Driven Vital Signs

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 256A-256A
Author(s):  
Catherine Ross ◽  
Iliana Harrysson ◽  
Lynda Knight ◽  
Veena Goel ◽  
Sarah Poole ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Vital Signs ◽  
Warning System ◽  
Data Driven ◽  
Using Data

KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Landslide Early Warning ◽  
Point To Point

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.

Summary of the stakeholders workshop to develop a National Volcano Early Warning System (NVEWS)

2006 ◽  
Author(s):  
Marianne Guffanti ◽  
William E. Scott ◽  
Carolyn L. Driedger ◽  
John W. Ewert
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System
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