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  1. Article ; Online: Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak".

    Dhungana, Hom Nath

    International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

    2020  Volume 94, Page(s) 72–73

    MeSH term(s) Basic Reproduction Number ; Betacoronavirus ; COVID-19 ; China ; Coronavirus ; Coronavirus Infections/epidemiology ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-02-20
    Publishing country Canada
    Document type Letter ; Comment
    ZDB-ID 1331197-9
    ISSN 1878-3511 ; 1201-9712
    ISSN (online) 1878-3511
    ISSN 1201-9712
    DOI 10.1016/j.ijid.2020.02.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Commentary: Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread.

    Dhungana, Hom Nath / Ghimire, Saroj

    Frontiers in public health

    2021  Volume 9, Page(s) 735857

    MeSH term(s) COVID-19 ; Communicable Diseases/epidemiology ; Humans ; Models, Statistical ; SARS-CoV-2
    Language English
    Publishing date 2021-10-15
    Publishing country Switzerland
    Document type Journal Article ; Comment
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2021.735857
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Commentary

    Hom Nath Dhungana / Saroj Ghimire

    Frontiers in Public Health, Vol

    Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread

    2021  Volume 9

    Keywords infectious disease modeling ; reproduction number ; mathematical modeling ; transmission rate ; effective contact rate ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Comments on "Preliminary estimation of the basic reproduction number of novel Coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven Analysis in the early phase of the outbreak"

    Dhungana, Hom Nath

    Int J Infect Dis

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #1403
    Database COVID19

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  5. Article ; Online: Studying the efficacy of isolation as a control strategy and elimination of tuberculosis in India: A mathematical model.

    Bhadauria, Archana Singh / Dhungana, Hom Nath / Verma, Vinay / Woodcock, Stephen / Rai, Tapan

    Infectious Disease Modelling

    2023  Volume 8, Issue 2, Page(s) 458–470

    Abstract: India has the highest burden of both tuberculosis (TB) and multidrug-resistant TB (MDR-TB) based on the WHO Global TB Report 2019. Although the available data suggest that the total TB incidence has declined, the absolute number of new cases is still ... ...

    Abstract India has the highest burden of both tuberculosis (TB) and multidrug-resistant TB (MDR-TB) based on the WHO Global TB Report 2019. Although the available data suggest that the total TB incidence has declined, the absolute number of new cases is still increasing. The number of reported TB cases in India in 2018 was 2.2 million, which was 1.5 million in 2009. About 47% increment in TB case notification in India within a decade shows a persistent public health problem. India contributes about 22% of the World's TB burden. Indian National Strategic Plan 2017-2025, sets out the government plans to eliminate TB by 2025. However, the milestone seems unrealistic to achieve the TB eradication goal by 2025. We developed a five-dimensional mathematical model to understand the TB dynamics in India and investigate the possibility of the earliest TB eradication time frame. The model stratifies the entire TB class into three different classes as drug-sensitive (DS), MDR, and isolated classes. The effective reproduction number, equilibrium points, and stability analysis of the model were carried out. This model predicts the total estimated cases of DS-TB and MDR-TB from 2018 to 2035 through numerical simulation and suggests that TB may be eliminated by 2035 in India if the treatment success rate could be achieved to 95%, by contact tracing and isolating at least 50% of MDR-TB.
    Language English
    Publishing date 2023-04-06
    Publishing country China
    Document type Journal Article
    ZDB-ID 3015225-2
    ISSN 2468-0427 ; 2468-2152
    ISSN (online) 2468-0427
    ISSN 2468-2152
    DOI 10.1016/j.idm.2023.03.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Preparing to manage injury burden of Bihar

    Vikas Verma / Chandra Mani Singh / Girish Kumar Singh / Santosh Kumar / Anil Kumar / Hom Nath Dhungana

    Indian Journal of Community Health, Vol 27, Iss 2, Pp 247-

    2015  Volume 251

    Abstract: Introduction: Trauma care in Bihar is beset by a number of problems namely lack of funds, one of the highest population densities in the country, far flung flood prone areas that remain inaccessible to healthcare for several months of an year, lack of ... ...

    Abstract Introduction: Trauma care in Bihar is beset by a number of problems namely lack of funds, one of the highest population densities in the country, far flung flood prone areas that remain inaccessible to healthcare for several months of an year, lack of formal pre-hospital care services and an organized system of trauma care. EMS services are run by many different organizations such as government, police, fire, hospital or private organizations. There is lack of coordination between these organizations. First response to the injured is very often provided by the police who tend to transfer the patient to the nearest government health care centre. There is no linkage with hospital trauma services. This paper presents the interim results of a plan developed and being implemented at AIIMS, Patna in collaboration with the government of Bihar and Adams Cowley shock trauma trauma centre, Baltimore, USA. Methods: Participants from the Bihar police and Bihar health services were nominated by the government of Bihar. One hundred fifty one participants were imparted a 3 day training that included basics for managing airway, breathing, circulation, extrication, fractures, and spine injuries. Incident managment, approach to mass casualty and safe transport were also part of the cirriculum. All participants were required to take a pre-test before the training, a post test at the end of the training and another post test after 6 months after the training. Whether participants attended to emergencies before and after the training was also soought. Paired t tests were used to compare the means of tests. Independent t test was used to compare difference of means in the groups that attended to emergencies in the six months after the training with those that did not attend to emergencies during the 6 months after the training. Results:One hundred fifty one participants were trained. Of the 151 participants 55 (36.4%) belonged to Bihar police and 96 (73.6%) belonged to Bihar health services. The average number of emergencies attended by the participants was 8.6 per month. However, 48 participants had not attended to an emergency during the last six months. Mean post-test score 1 was significantly higher than mean pre-test score. Mean post-test score 2 was significantly higher than mean pre-test score. Mean post-test 1 was significantly higher than mean post-test score 2. Mean post-test 1 score was found to be significantly higher (p value 0.00) in those that attended to emergencies in the 6 months after training than those that did not attend to emergencies in the 6 months after training. Difference of means (Post-test 1 Vs Post-test 2) in the two groups was significantly lower in the group that attended to emergencies in six months after training. Discussion: 48 participants had not attended to emergencies prior to training. Of these 48 participnats, 47 did not attend to any emrgency in the 6 months after the training, This probably reflects poor selection of participants and lack of cooridanation between various department of the Bihar goverment. Our finding that our module was able to increase the knowledge is similar to other studies that have reported enhanced knowledge as a result of training. Increase in knowledge levels was sustained for a period of six months. Attending to emergencies in 6 months after the training helped in retention of the knowledge. Conclusion: The plan developed and being implemented at AIIMS, Patna in collaboration with the government of Bihar and Adams Cowley shock trauma trauma centre, Baltimore, USA is successful in raising knowledge levels which are sustained for a period of six months. A system for identifying participants needs to be developed so that those who regularly attend to emergencies are preferred to those that do not attend to emergencies regularly. Also those who have undergone the training should be utilized in roles that require attending to emergencies.
    Keywords Prehospital ; training ; Medicine ; R ; Public aspects of medicine ; RA1-1270
    Subject code 796
    Language English
    Publishing date 2015-06-01T00:00:00Z
    Publisher Indian Association of Preventive and Social Medicine, Uttar Pradesh & Uttarakhand
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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