Fuzzy Model of Transmission Dynamics of COVID-19 in Nepal

2021 ◽  
pp. 423-438
Author(s):  
Gauri Bhuju ◽  
Ganga Ram Phaijoo ◽  
Dil Bahadur Gurung
Keyword(s):  
Fuzzy Model ◽  
Transmission Dynamics

Inverse Fuzzy Model Controllers

1993 ◽  
Author(s):  
Celal Batur ◽  
Arvind Srinivasan ◽  
Chien-Chung Chan
Keyword(s):  
Fuzzy Model

NEURO-FUZZY MODEL FOR ENVIRONMENTAL IMPACT ASSESSMENT

2011 ◽  
Vol 10 (3) ◽  
pp. 381-386 ◽  
Author(s):  
Alexandru Trandabat ◽  
Marius Pislaru ◽  
Silvia Avasilcai
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Fuzzy Model ◽  
Neuro Fuzzy

Simulating disease transmission dynamics at a multi-scale level

2007 ◽  
Vol 1 (1) ◽  
pp. 26-34 ◽  
Author(s):  
Moshe B Hoshen ◽  
Anthony H Burton ◽  
Themis J V Bowcock
Keyword(s):  
Disease Transmission ◽  
Transmission Dynamics ◽  
Scale Level ◽  
Multi Scale

Pengklasifikasian Tingkat Kesejahteraan Keluarga Di Desa Citamiang Dengan Penerapan Logika Fuzzy Model Tahani

2020 ◽  
Vol 5 (2) ◽  
pp. 97-107
Author(s):  
Yoga Permana ◽  
Lelah Lelah
Keyword(s):  
Fuzzy Model

Indonesia merupakan negara yang memiliki populasi penduduk yang cukup besar, pada tahun 2020 jumlah penduduk Indonesia mencapai 269,6 juta jiwa. Setiap dari mereka tentunya memiliki keluarga. Kesejahteraan keluarga tidak hanya berpengaruh terhadap keberhasilan anggota keluarganya, namun juga berpengaruh terhadap keberhasilan pemerintah, tak terkecuali pemerintahan desa. Oleh sebab itu, informasi mengenai tingkat kesejahteraan keluarga diperlukan untuk meninjau upaya yang telah dilakukan pemerintah apakah berhasil ataukah tidak. Untuk menentukan tingkat kesejahteraan keluarga terdapat beberapa indikator seperti penghasilan, pekerjaan, usia dan tanggungan. Supaya proses pengklasifikasian kesejahteraan keluarga bisa lebih efisien maka dapat diolah melalui program yang menerapkan logika fuzzy dengan model Tahani. Tujuan dari penelitian ini dimaksudkan untuk mengklasifikasikan kesejahteraan keluarga berdasarkan data penduduk yang dimiliki oleh pemerintah desa. Berdasarkan hasil penelitian yang diperoleh logika fuzzy dengan model Tahani bisa digunakan untuk mengolah data penduduk yang sesuai dengan indikator tingkat kesejahteraan keluarga dengan memberikan keluaran berupa pengklasifikasian keluarga meliputi keluarga tidak mampu, keluarga prasejahtera dan keluarga sejahtera. Keluaran dari program juga diuji dengan aplikasi fuzzyTECH untuk mengukur keberhasilan penerapan logika fuzzy pada program yang dibangun.

Fuzzy model for grape sugar content and fruit shape index with irrigation quota as parameter

2010 ◽  
Vol 18 (2) ◽  
pp. 348-351
Author(s):  
Tao LI ◽  
Jian-Feng ZHANG ◽  
Jiang-Hui ZHANG ◽  
Quan-Jiu WANG ◽  
Sheng-Jiang ZHANG ◽  
...  
Keyword(s):  
Sugar Content ◽  
Fuzzy Model ◽  
Shape Index ◽  
Fruit Shape

Transmission Dynamics of 2019 Novel Coronavirus (2019-nCoV)

2020 ◽  
Author(s):  
Tao Liu ◽  
Jianxiong Hu ◽  
Min Kang ◽  
Lifeng Lin ◽  
Haojie Zhong ◽  
...  
Keyword(s):  
Transmission Dynamics ◽  
Novel Coronavirus

Two mechanisms for accelerated diffusion of COVID-19 outbreaks in regions with high intensity of population and polluting industrialization: the air pollution-to-human and human-to-human transmission dynamics (Preprint)

2020 ◽  
Author(s):  
Mario Coccia
Keyword(s):  
Air Pollution ◽  
Wind Speed ◽  
Critical Role ◽  
Meteorological Condition ◽  
Meteorological Conditions ◽  
Lessons Learned ◽  
Transmission Dynamics ◽  
Critical Threshold ◽  
Viral Infectivity ◽  
Low Wind Speed

BACKGROUND Coronavirus disease 2019 (COVID-19) is viral infection that generates a severe acute respiratory syndrome with serious pneumonia that may result in progressive respiratory failure and death. OBJECTIVE This study has two goals. The first is to explain the main factors determining the diffusion of COVID-19 that is generating a high level of deaths. The second is to suggest a strategy to cope with future epidemic threats with of accelerated viral infectivity in society. METHODS Correlation and regression analyses on on data of N=55 Italian province capitals, and data of infected individuals at as of April 2020. RESULTS The main results are: o The accelerate and vast diffusion of COVID-19 in North Italy has a high association with air pollution. o Hinterland cities have average days of exceeding the limits set for PM10 (particulate matter 10 micrometers or less in diameter) equal to 80 days, and an average number of infected more than 2,000 individuals as of April 1st, 2020, coastal cities have days of exceeding the limits set for PM10 equal to 60 days and have about 700 infected in average. o Cities that average number of 125 days exceeding the limits set for PM10, last year, they have an average number of infected individual higher than 3,200 units, whereas cities having less than 100 days (average number of 48 days) exceeding the limits set for PM10, they have an average number of about 900 infected individuals. o The results reveal that accelerated transmission dynamics of COVID-19 in specific environments is due to two mechanisms given by: air pollution-to-human transmission and human-to-human transmission; in particular, the mechanisms of air pollution-to-human transmission play a critical role rather than human-to-human transmission. o The finding here suggests that to minimize future epidemic similar to COVID-19, the max number of days per year in which cities can exceed the limits set for PM10 or for ozone, considering their meteorological condition, is less than 50 days. After this critical threshold, the analytical output here suggests that environmental inconsistencies because of the combination between air pollution and meteorological conditions (with high moisture%, low wind speed and fog) trigger a take-off of viral infectivity (accelerated epidemic diffusion) with damages for health of population, economy and society. CONCLUSIONS Considering the complex interaction between air pollution, meteorological conditions and biological characteristics of viral infectivity, lessons learned for COVID-19 have to be applied for a proactive socioeconomic strategy to cope with future epidemics, especially an environmental policy based on reduction of air pollution mainly in hinterland zones of countries, having low wind speed, high percentage of moisture and fog that create an environment that can damage immune system of people and foster a fast transmission of viral infectivity similar to the COVID-19. CLINICALTRIAL not applicable

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