Download PDF
CC BY-NC-ND 4.0 · J Neuroanaesth Crit Care 2020; 7(03): 115-117
DOI: 10.1055/s-0040-1721520
Editorial

Impact of COVID-19 on Health Infrastructure and Wellness

Parmod K. Bithal
1   Department of Neuroanaesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, India (Retired)
,
Girija P. Rath
2   Department of Neuroanaesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, India
› Author Affiliations
› Further Information
   Permissions and Reprints

The coronavirus (COVID-19) pandemic has ravaged India with more than 8.14 million patients having contracted it and nearly 122,000 fatalities being recorded at the time of penning this editorial. Although pandemics, by their very nature, have a global impact, the effects on population vary disproportionately, according to the prevailing socioeconomic conditions.[1] Countries that cannot guarantee social protection and equitable access to health care to their most vulnerable citizens run the risk of an extended and more severe pandemic.[2]



Publication History

Article published online:
06 December 2020

© 2020. Indian Society of Neuroanaesthesiology and Critical Care. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, Second Floor, Sector -2, NOIDA -201301, India

 

  • References

  • 1 Quinn SC, Kumar S. Health inequalities and infectious disease epidemics: a challenge for global health security. Biosecur Bioterror 2014; 12 (05) 263-273
    CrossrefPubMedGoogle Scholar
  • 2 Lewnard JA, Lo NC. Scientific and ethical basis for social distancing interventions against COVID-19. Lancet Infect Dis 2020; DOI: 10.1016/S1473-3099(20)30190-0.
    CrossrefPubMedGoogle Scholar
  • 3 Siow WJ, Liew MF, Shreshtha BR, Muchtar F, See KC. Managing COVID-19 in resource-limited settings: critical care considerations. Critical Care 2020; DOI: 10.1186/s13054-020-02890-x.
    CrossrefPubMedGoogle Scholar
  • 4 Yang X, Yu Y, Xu J. et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 2020; 8 (05) 475-481
    CrossrefPubMedGoogle Scholar
  • 5 Brookings. Available at: https://www.brookings.edu/blog/up-front/2020/03/24/is-indias-health-infrastructure-equipped-to-handle-an-epidemic/. Accessed November 3, 2020
    PubMed
  • 6 Gomersall CD, Tai DY, Loo S. et al. Expanding ICU facilities in an epidemic: recommendations based on experience from the SARS epidemic in Hong Kong and Singapore. Intensive Care Med 2006; 32 (07) 1004-1013
    CrossrefPubMedGoogle Scholar
  • 7 Agrawal A, Gandhe M, Gandhe S, Agarwal N. Study of length of stay and average cost of treatment in medicine intensive care unit at tertiary care center. J Health Res Rev 2017; 4: 24-29
    CrossrefPubMedGoogle Scholar
  • 8 Turner HC, Hao NV, Yacoub S. et al. Achieving affordable critical care in low-income and middle-income countries. BMJ Glob Health 2019; 4 (03) e001675
    CrossrefPubMedGoogle Scholar
  • 9 Kroll RR, McKenzie ED, Boyd JG. et al. WEARable Information Technology for hospital INpatients (WEARIT-IN) study group. Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study. J Intensive Care 2017; 5: 64
    CrossrefPubMedGoogle Scholar
  • 10 Wahl B, Cossy-Gantner A, Germann S, Schwalbe NR. Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?. BMJ Glob Health 2018; 3 (04) e000798
    CrossrefPubMedGoogle Scholar
  • 11 Shimabukuro DW, Barton CW, Feldman MD, Mataraso SJ, Das R. Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial. BMJ Open Respir Res 2017; 4 (01) e000234
    CrossrefPubMedGoogle Scholar
  • 12 Komorowski M, Celi LA, Badawi O, Gordon AC, Faisal AA. The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care. Nat Med 2018; 24 (11) 1716-1720
    CrossrefPubMedGoogle Scholar
  • 13 Ng Z, Tay WC, Ho CHB. Awake prone positioning for non-intubated oxygen dependent COVID-19 pneumonia patients. Eur Resp J 2020; DOI: 10.1183/13993003.01198-2020.
    CrossrefPubMedGoogle Scholar
  • 14 Branson RD, Blakeman TC, Robinson BR, Johannigman JA. Use of a single ventilator to support 4 patients: laboratory evaluation of a limited concept. Respir Care 2012; 57 (03) 399-403
    CrossrefPubMedGoogle Scholar
  • 15 Neyman G, Irvin CB. A single ventilator for multiple simulated patients to meet disaster surge. Acad Emerg Med 2006; 13 (11) 1246-1249
    CrossrefPubMedGoogle Scholar
  • 16 The Hindu. Available at: https://www.thehindu.com/news/cities/chennai/cmc-goes-for-non-invasiveventilation-to-treat-severe-cases/article32207843.ece. Accessed November 3, 2020
    PubMed
  • 17 Whitson MR, Mo E, Nabi T. et al. Feasibility, utility, and safety of midodrine during recovery phase from septic shock. Chest 2016; 149 (06) 1380-1383
    CrossrefPubMedGoogle Scholar
  • 18 World Health Organization. Available at: https://www.who.int/news/item/17-09-2020-keep-health-workers-safe-to-keep-patients-safe-who. Accessed November 3, 2020
    PubMed