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      Tele‐healthcare to combat COVID‐19 pandemic in developing countries: A proposed single centre and integrated national level model

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          Abstract

          1. INTRODUCTION Novel coronavirus (SARS‐COV 2) pandemic has affected millions worldwide and the numbers are increasing exponentially. 1 A significant proportion of those affected are healthcare workers. 2 Adequate personnel protective equipment (PPE) are required to care for patients affected by COVID‐19, as it spreads through respiratory secretions and fomites. 3 With the dwindling pool of Healthcare personnel (HCP) and gross shortage of PPE, combating COVID‐19 becomes a challenge. 4 2. NEED FOR TELE‐HEALTHCARE Approximately 85% of COVID‐19 affected patients have non severe disease and only 5% require intensive care. 5 Thus, many patients can be managed without any active intervention or physical presence of a HCP. Telemedicine helps in making remote clinical decisions and can act as an effective tool in above scenario. 6 , 7 It has been rediscovered as a potential tool to combat the novel coronavirus in many countries including China, USA, and Israel with successful benefits. However, the concept is still budding in developing nations and literature on its utility in an infectious pandemic is sparse. 3. CHALLENGES IN TACKLING COVID‐19 PANDEMIC At an individual healthcare centre, multiple issues need to be addressed while handling COVID‐19 pandemic. Firstly, usual triaging system at emergency facilities seems inadequate to deal with the surge of cases. Secondly, shortage of PPE would force healthcare workers to work with whatever is available. Thirdly, frontline HCP are at an increased risk of getting infected. Fourthly, stationary used for documentation can act as a potential source of fomite transmission. Roadblocks are evident in handling COVID‐19 pandemic at national level too. Inappropriate penetration of data to HCP has caused information adulteration and a knowledge gap, mandating need for wider dissemination of standard management guidelines across the country and tele‐health model can help in this aspect. With HCP from various specialities being mobilised for patient care, there exists a significant expertise gap. For instance, expertise to manage patients on mechanical ventilators could be lacking, thus making government efforts to provide ventilators on a large scale futile. Frontline HCP may not feel confident in managing COVID‐19 patients due to lack of training and expertise thereby creating a huge gap in patient care. Lack of public awareness and knowledge on national statistics, home care and self‐care during COVID‐19 pandemic accentuates the information gap at general population level. Utility of telemedicine to fulfill these major gaps appears as a novel solution. 4. PROPOSED TELE‐HEALTHCARE MODEL In this article, we discuss a single centre model for tele‐healthcare (Figure 1A) and an integrated model for functioning at national level (Figure 1B). At an individual facility, entry of a suspected COVID‐19 patient is based on self‐screening via mobile based application. Those deemed to be stable can obtain tele‐appointment and reach the facility. If symptoms are inconsistent with infectious disease, they can avoid unnecessary visits and prevent the overcrowding of hospital, thus preventing the surge. They can follow general infection prevention measures as described in the application. Sick patients can directly approach the healthcare facility. FIGURE 1 A, Single centre tele‐healthcare model. B, Integrated national tele‐healthcare model. The above illustration is original work of Vishakh C Keri and co‐authors [Colour figure can be viewed at wileyonlinelibrary.com] On reaching the hospital, patients will go through a two‐stage triage model which caters for history and examination, respectively. Documentation can be done on a simple mobile application‐based platform, accessed by all HCP of the team which could prove advantageous. Firstly, it aids in real time documentation and maintaining a closed loop of information transfer. Secondly, it eases the decision‐making process for HCP mobilised from differing fields of expertise to combat COVID‐19 as it is a simple checkbox format. Thirdly, since no stationary will be used and examining doctor will not handle the device nor the patient encounters it, risk of fomite transmission is minimised. If the patient is sick, he is shifted to yellow area. Main responsibility here will be strict monitoring and early identification of clinical deterioration. Video conferencing based remote decision‐making model from a central command centre setup at the facility can be implemented to guide the on‐floor HCP. This reduces the number of on‐floor HCP, thus reducing unnecessary exposure and PPE use. Most importantly it can help in optimal utilisation of HCP from diverse medical background who can be guided on decisions remotely through expert opinions. This model can be replicated and adapted to various emergency response centres across the country. Telemedicine at individual centres are beneficial, and its utility can be expanded throughout the country to deliver uniform care. Healthcare systems have been stratified into remote Primary Healthcare Centres (PHC) to large tertiary healthcare setups. We visualise a hub and spokes model 8 to deliver telemedicine across the country. In this model (Figure 1B), tertiary care setups are linked to district and primary health care systems. Tertiary care setup with its set of specialist doctors from various fields of General medicine, Infectious diseases, Pulmonary medicine, Critical care and Emergency medicine and others will be available round the clock online in their central COVID response centre. They will provide services including education, training and expert video consults to individual COVID care facilities in their jurisdiction. In addition, doctors at the PHC can freely contact doctors at the tertiary centres from their point of patient care to clarify doubts and feel confident about managing. Specialists can take rounds of patients in PHCs from their central COVID response centres through video conferencing and can even talk to the patients. This increases the confidence of patients on the specialist care they are receiving. It can also help policy makers at the tertiary care level understand ground realities and modify policies timely. Such a countrywide tele healthcare model for developing countries can make expertise reach remote corners of the country, thus allaying fears, myths and educating the healthcare workers to combat COVID‐19.

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          Clinical Characteristics of Coronavirus Disease 2019 in China

          Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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            Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

            In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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              Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1

              To the Editor: A novel human coronavirus that is now named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (formerly called HCoV-19) emerged in Wuhan, China, in late 2019 and is now causing a pandemic. 1 We analyzed the aerosol and surface stability of SARS-CoV-2 and compared it with SARS-CoV-1, the most closely related human coronavirus. 2 We evaluated the stability of SARS-CoV-2 and SARS-CoV-1 in aerosols and on various surfaces and estimated their decay rates using a Bayesian regression model (see the Methods section in the Supplementary Appendix, available with the full text of this letter at NEJM.org). SARS-CoV-2 nCoV-WA1-2020 (MN985325.1) and SARS-CoV-1 Tor2 (AY274119.3) were the strains used. Aerosols (<5 μm) containing SARS-CoV-2 (105.25 50% tissue-culture infectious dose [TCID50] per milliliter) or SARS-CoV-1 (106.75-7.00 TCID50 per milliliter) were generated with the use of a three-jet Collison nebulizer and fed into a Goldberg drum to create an aerosolized environment. The inoculum resulted in cycle-threshold values between 20 and 22, similar to those observed in samples obtained from the upper and lower respiratory tract in humans. Our data consisted of 10 experimental conditions involving two viruses (SARS-CoV-2 and SARS-CoV-1) in five environmental conditions (aerosols, plastic, stainless steel, copper, and cardboard). All experimental measurements are reported as means across three replicates. SARS-CoV-2 remained viable in aerosols throughout the duration of our experiment (3 hours), with a reduction in infectious titer from 103.5 to 102.7 TCID50 per liter of air. This reduction was similar to that observed with SARS-CoV-1, from 104.3 to 103.5 TCID50 per milliliter (Figure 1A). SARS-CoV-2 was more stable on plastic and stainless steel than on copper and cardboard, and viable virus was detected up to 72 hours after application to these surfaces (Figure 1A), although the virus titer was greatly reduced (from 103.7 to 100.6 TCID50 per milliliter of medium after 72 hours on plastic and from 103.7 to 100.6 TCID50 per milliliter after 48 hours on stainless steel). The stability kinetics of SARS-CoV-1 were similar (from 103.4 to 100.7 TCID50 per milliliter after 72 hours on plastic and from 103.6 to 100.6 TCID50 per milliliter after 48 hours on stainless steel). On copper, no viable SARS-CoV-2 was measured after 4 hours and no viable SARS-CoV-1 was measured after 8 hours. On cardboard, no viable SARS-CoV-2 was measured after 24 hours and no viable SARS-CoV-1 was measured after 8 hours (Figure 1A). Both viruses had an exponential decay in virus titer across all experimental conditions, as indicated by a linear decrease in the log10TCID50 per liter of air or milliliter of medium over time (Figure 1B). The half-lives of SARS-CoV-2 and SARS-CoV-1 were similar in aerosols, with median estimates of approximately 1.1 to 1.2 hours and 95% credible intervals of 0.64 to 2.64 for SARS-CoV-2 and 0.78 to 2.43 for SARS-CoV-1 (Figure 1C, and Table S1 in the Supplementary Appendix). The half-lives of the two viruses were also similar on copper. On cardboard, the half-life of SARS-CoV-2 was longer than that of SARS-CoV-1. The longest viability of both viruses was on stainless steel and plastic; the estimated median half-life of SARS-CoV-2 was approximately 5.6 hours on stainless steel and 6.8 hours on plastic (Figure 1C). Estimated differences in the half-lives of the two viruses were small except for those on cardboard (Figure 1C). Individual replicate data were noticeably “noisier” (i.e., there was more variation in the experiment, resulting in a larger standard error) for cardboard than for other surfaces (Fig. S1 through S5), so we advise caution in interpreting this result. We found that the stability of SARS-CoV-2 was similar to that of SARS-CoV-1 under the experimental circumstances tested. This indicates that differences in the epidemiologic characteristics of these viruses probably arise from other factors, including high viral loads in the upper respiratory tract and the potential for persons infected with SARS-CoV-2 to shed and transmit the virus while asymptomatic. 3,4 Our results indicate that aerosol and fomite transmission of SARS-CoV-2 is plausible, since the virus can remain viable and infectious in aerosols for hours and on surfaces up to days (depending on the inoculum shed). These findings echo those with SARS-CoV-1, in which these forms of transmission were associated with nosocomial spread and super-spreading events, 5 and they provide information for pandemic mitigation efforts.
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                Author and article information

                Contributors
                drsinha123@gmail.com
                Journal
                Int J Health Plann Manage
                Int J Health Plann Manage
                10.1002/(ISSN)1099-1751
                HPM
                The International Journal of Health Planning and Management
                John Wiley & Sons, Ltd. (Chichester, UK )
                0749-6753
                1099-1751
                03 August 2020
                : 10.1002/hpm.3036
                Affiliations
                [ 1 ] Infectious Diseases, Department of Medicine and Microbiology All India Institute of Medical Sciences New Delhi India
                [ 2 ] Department of Emergency Medicine All India Institute of Medical Sciences New Delhi India
                [ 3 ] Department of Medicine All India Institute of Medical Sciences New Delhi India
                Author notes
                [*] [* ] Correspondence

                Tej Prakash Sinha, Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi 110049, India.

                Email: drsinha123@ 123456gmail.com

                Author information
                https://orcid.org/0000-0003-1109-8739
                https://orcid.org/0000-0003-4214-5091
                Article
                HPM3036
                10.1002/hpm.3036
                7436695
                32748457
                273b2592-f8a7-4e65-855e-4341db6fa5cb
                © 2020 John Wiley & Sons, Ltd.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 07 July 2020
                : 10 July 2020
                Page count
                Figures: 1, Tables: 0, Pages: 3, Words: 1312
                Categories
                Letter to the Editor
                Letter to the Editor
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.7 mode:remove_FC converted:19.08.2020

                Economics of health & social care
                Economics of health & social care

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