Literature DB >> 32247584

The importance of designing and implementing participatory surveillance system: An approach as early detection and prevention of novel coronavirus (2019-nCov).

Mehrdad Amir-Behghadami1, Ali Janati2.   

Abstract

Entities:  

Year:  2020        PMID: 32247584      PMCID: PMC7118640          DOI: 10.1016/j.ajic.2020.03.013

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


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To the editor, The atypical pneumonia case, caused by a novel coronavirus (2019-nCoV), was reported by the World Health Organization, which has been spreading at high rates since the end of December 2019. , The 2019-nCoV case was first detected and confirmed in Wuhan, China, before being identified in other Chinese cities. It has also been reported in most countries of the world. , On January 30, 2020, the World Health Organization declared the outbreak as a Public Health Emergency of International Concern. The 2019-nCoV-infected pneumonia is characterized by flu-like symptoms such as fever, cough, severe acute respiratory distress syndrome, and in some cases death. Human-to-human transmission has been confirmed for the virus, , which is related to Acute Respiratory Syndrome (SARS) and Middle Eastern Respiratory Syndrome (MERS). Like SARS-CoV and MERS-CoV, the 2019-nCoV is a serious threat to human health. The aforementioned problems have caused the world health systems (especially health systems in the affected countries) to make changes in order to improve and enhance their health systems. At the same time, development and implementation of surveillance systems are essential to identify and respond quickly to such threats. Therefore, the affected countries need to strengthen the traditional monitoring system, simultaneously developing and implementing a well-known new surveillance system as a Participatory Surveillance System (PSS) to prevent, control, and reduction 2019-nCoV-related complications and burdens. Traditional passive surveillance systems rely on the confirmation laboratory and may not identify emergent disease until there is a high incidence rate in a community or a severe disease presentation. Participatory Surveillance System (PSS) is an approach to diagnosing illnesses that allow the public to report signals directly, providing a quick visualization of data collected to the user and public health organizations. , The main purpose of PSS is early detection of community-based epidemics. In the new system, when the number of cases exceeds the defined threshold, the computer system automatically warns the labs and response teams to launch infectious diseases to counter the outbreak. In order to identify and respond quickly to emerging public health threats such as 2019-nCoV, designing and implementing an innovative electronic surveillance system called the PSS for global health security is essential. The current letter could provide a new perspective for public health officials in affected countries.
  8 in total

1.  Syndromic surveillance for local outbreaks of lower-respiratory infections: would it work?

Authors:  Cees C van den Wijngaard; Liselotte van Asten; Wilfrid van Pelt; Gerda Doornbos; Nico J D Nagelkerke; Gé A Donker; Wim van der Hoek; Marion P G Koopmans
Journal:  PLoS One       Date:  2010-04-29       Impact factor: 3.240

2.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

3.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

4.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

5.  The Extent of Transmission of Novel Coronavirus in Wuhan, China, 2020.

Authors:  Hiroshi Nishiura; Sung-Mok Jung; Natalie M Linton; Ryo Kinoshita; Yichi Yang; Katsuma Hayashi; Tetsuro Kobayashi; Baoyin Yuan; Andrei R Akhmetzhanov
Journal:  J Clin Med       Date:  2020-01-24       Impact factor: 4.241

6.  An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov).

Authors:  Biao Tang; Nicola Luigi Bragazzi; Qian Li; Sanyi Tang; Yanni Xiao; Jianhong Wu
Journal:  Infect Dis Model       Date:  2020-02-11

7.  In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus.

Authors:  Deng-Hai Zhang; Kun-Lun Wu; Xue Zhang; Sheng-Qiong Deng; Bin Peng
Journal:  J Integr Med       Date:  2020-02-20
  8 in total
  4 in total

1.  Electronic screening through community engagement: A national strategic plan to find COVID-19 patients and reduce clinical intervention delays.

Authors:  Mehrdad Amir-Behghadami; Masoumeh Gholizadeh
Journal:  Infect Control Hosp Epidemiol       Date:  2020-05-04       Impact factor: 3.254

2.  Iranian national COVID-19 electronic screening system: experience to share.

Authors:  Mehrdad Amir-Behghadami; Ali Janati
Journal:  Emerg Med J       Date:  2020-05-19       Impact factor: 2.740

3.  Agent Simulation Model of COVID-19 Epidemic Agent-Based on GIS: A Case Study of Huangpu District, Shanghai.

Authors:  Tao Dong; Wen Dong; Quanli Xu
Journal:  Int J Environ Res Public Health       Date:  2022-08-18       Impact factor: 4.614

4.  Use of a Digital Assistant to Report COVID-19 Rapid Antigen Self-test Results to Health Departments in 6 US Communities.

Authors:  Carly Herbert; Qiming Shi; Vik Kheterpal; Chris Nowak; Thejas Suvarna; Basyl Durnan; Summer Schrader; Stephanie Behar; Syed Naeem; Seanan Tarrant; Ben Kalibala; Aditi Singh; Ben Gerber; Bruce Barton; Honghuang Lin; Michael Cohen-Wolkowiez; Giselle Corbie-Smith; Warren Kibbe; Juan Marquez; Jonggyu Baek; Nathaniel Hafer; Laura Gibson; Laurel O'Connor; John Broach; William Heetderks; David McManus; Apurv Soni
Journal:  JAMA Netw Open       Date:  2022-08-01
  4 in total

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