Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh

被引：19

作者：

Rahman, Md Siddikur ^{[1
]}

Safa, Nujhat Tabassum ^{[2
]}

Sultana, Sahara ^{[3
]}

Salam, Samira ^{[2
]}

Karamehic-Muratovic, Ajlina ^{[4
]}

Overgaard, Hans J. ^{[5
,6
]}

机构：

[1] Begum Rokeya Univ, Dept Stat, Rangpur 5404, Bangladesh

[2] Jahangirnagar Univ, Dept Stat, Savar Union, Bangladesh

[3] Jahangirnagar Univ, Inst Informat Technol, Savar Union, Bangladesh

[4] St Louis Univ, Dept Sociol & Anthropol, Coll Arts & Sci, St Louis, MO 63103 USA

[5] Khon Kaen Univ, Fac Med, Dept Microbiol, Khon Kaen, Thailand

[6] Norwegian Univ Life Sci, Fac Sci & Technol, POB 5003, N-1430 As, Norway

来源：

PARASITE EPIDEMIOLOGY AND CONTROL | 2022年 / 18卷

关键词：

COVID-19; Dengue; Health care; Surveillance; Prediction; COVID-19; PREVENTION;

D O I：

10.1016/j.parepi.2022.e00266

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Digital technologies are the need of today to predict, prevent and control emerging infectious diseases. Bangladesh is one of the world's poorest and most densely populated countries and faces a double burden of two deadly diseases, COVID-19 and dengue. In response to both these diseases, the absence of a digital healthcare system and insufficient preparedness, lack of public awareness pose unique challenges and a large threat to the population, resulting in epidemics of escalating severity. This paper suggests a digital health care and surveillance system based on the internet of things (IoT) and artificial intelligence (AI) for timely identification of COVID-19 and dengue cases and improving the prevention and control strategies in the country.

引用

页数：6

共 51 条

[1]

Abdullah M., 2020, Dhaka Tribune

[2] First case diagnosed with both COVID-19 and dengue virus infections in Bangladesh: Possible dengue prevention strategies amid COVID-19 outbreak [J].

Ahmed, Shakil ;

Tazmeem, Fabeha .

PUBLIC HEALTH, 2021, 191 :39-40

[3] The proximal origin of SARS-CoV-2 [J].

Andersen, Kristian G. ;

Rambaut, Andrew ;

Lipkin, W. Ian ;

Holmes, Edward C. ;

Garry, Robert F. .

NATURE MEDICINE, 2020, 26 (04) :450-452

[4] COVID-19 in Bangladesh: public awareness and insufficient health facilities remain key challenges [J].

Banik, R. ;

Rahman, M. ;

Sikder, T. ;

Gozal, D. .

PUBLIC HEALTH, 2020, 183 :50-51

[5]

Ben Hassen Hafedh, 2020, Inform Med Unlocked, V20, P100368, DOI 10.1016/j.imu.2020.100368

[6] Covid-19 risks and response in South Asia [J].

Bhutta, Zulfiqar A. ;

Basnyat, Buddha ;

Saha, Samir ;

Laxminarayan, Ramanan .

BMJ-BRITISH MEDICAL JOURNAL, 2020, 368

[7]

Chandra R., 2015, MOBILE APPL DENGUE F

[8] New technologies in predicting, preventing and controlling emerging infectious diseases [J].

Christaki, Eirini .

VIRULENCE, 2015, 6 (06) :554-561

[9] Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR (Publication with Expression of Concern) [J].

Corman, Victor M. ;

Landt, Olfert ;

Kaiser, Marco ;

Molenkamp, Richard ;

Meijer, Adam ;

Chu, Daniel K. W. ;

Bleicker, Tobias ;

Bruenink, Sebastian ;

Schneider, Julia ;

Schmidt, Marie Luisa ;

Mulders, Daphne G. J. C. ;

Haagmans, Bart L. ;

van der Veer, Bas ;

van den Brink, Sharon ;

Wijsman, Lisa ;

Goderski, Gabriel ;

Romette, Jean-Louis ;

Ellis, Joanna ;

Zambon, Maria ;

Peiris, Malik ;

Goossens, Herman ;

Reusken, Chantal ;

Koopmans, Marion P. G. ;

Drosten, Christian .

EUROSURVEILLANCE, 2020, 25 (03) :23-30

[10]

Cucinotta Domenico, 2020, Acta Biomed, V91, P157, DOI 10.23750/abm.v91i1.9397

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