A Review of India's Preparedness to Tackle the Covid19 Crises? - Open Journal Systems
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892 Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 A Review of India’s Preparedness to Tackle the Covid19 Crises? Shreyasvi Sharma Medical Intern, Jawahar Lal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, Maharashtra, India Abstract The novel Coronavirus, first appeared in Wuhan province of China in late December 2019, and gripped the whole world in 2020, growing to be a full-blown pandemic and changed every individual’s life completely. India recorded its first Novel Coronavirus case on 30th January 2020 in Kerala, a student from Wuhan, China. In this article, the question about whether India is ready to tackle the crisis, i.e., Covid-19, was answered. Three mathematical models were reviewed and then compared to the number of beds available in the country. The third mathematical model seemed to model the country’s curve much closer than the second one. The first one’s prediction actually came out to be true. Furthermore, the paper discusses the health infrastructure in the country and the strategies adopted by states to prevent the spread. It talks about two specific states Kerala and Maharashtra and how the country needs to deal with the crisis. It is important to note that according to the models and numbers currently, India is geared, However, if precautions are not taken the situation can get much worse. This paper also discusses the fatality rates currently in India and where we stand for treatment. Currently, the treatment protocols keep changing from time to time. Keywords: Covid-19, Mathematical Modelling, Health Infrastructure, Future of India Introduction And, in case of COVID 19, it is found to be between 1.4 The novel Coronavirus, first appearing in Wuhan and 2.8 2. Community transmission being the worst-case province of China in late December 2019, gripped scenario, where the source of the infection cannot be the whole world in 2020, growing to be a full-blown traced, and if unchecked, can easily turn to an endemic pandemic. As of 5th July, 11 million cases and about 5 in the region. While studies have been going on about lakh deaths were recorded worldwide1. The virus spreads effective treatment and vaccines, behavioral intervention primarily through droplets of saliva or discharge from is the preventive measure that can be taken by everyone, the nose when an infected person coughs or sneezes or and screening and testing by the government. India contact with contaminated surfaces, so it is important recorded its first Novel Coronavirus case on 30th to maintain proper hygiene and respiratory etiquette. January 2020 in Kerala, a student from Wuhan, China. However, A disease causing pathogen is transmitted A national lockdown was imposed on March 25th to based on its infectibility, which depends on the R-naught curb the spread. However, starting from the first case, value i.e., the number of persons who can possibly the country has recorded more than 6 lakh cases, placing contract the virus from an infected person on an average. itself in the top ten worst affected countries. The corona virus has affected everyone’s lives in a Corresponding author: massive manner. With the case count growing everyday, Shreyasvi Sharma it is important to answer questions like; Will we have Medical Intern, Jawahar Lal Nehru Medical College, enough beds and ventilators for critical cases in the Datta Meghe Institute of Medical Sciences (Deemed to future? Will some states be worse than the others? What be University), Wardha, Maharashtra, India. precautions should each state take? When will all this be Email – shreyasvisharma@gmail.com over? This paper sheds some light into these questions.
Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 893 It also looks at predictions of various mathematical India. Data from the second Fourier based model models, extrapolates those peak numbers and compares was focused on. This model takes previous data for 14 them with the number of beds available in the country. days into account and predicts data for the future based Furthermore, it discusses some of the strategies taken by on the previous data. Certain parameters were used for various states. different countries in this model. Materials and Method III. Regression Analysis - June 22nd, 2020 5 In this review article, a lot of mathematical modelling Finally, this paper also was based of covid papers from various online publishing sources were 19’s exponential behaviour. For this study the reviewed where the Covid-19 peak case count in India R-naught(reproduction) value was around 1.4 - 3.9. was predicted. It is important to note that all of these This model was applied to two countries, China and papers used different types of mathematical models and Korea, who are much further ahead as the coronavirus also had different data available to them at the time of hit them earlier. The model seemed to fit both the publishing. Different conditions and assumptions were countries and was adapted with specific constants for taken into account for each model. Specifically, three India. It is important to note that this model was also a papers and the mathematical models were chosen to be sort of compartmental model as paper I. However, it was reviewed. After extrapolating data from these papers and written a lot after with a lot more data. manipulating them, they were compared to the number of beds available in India and the main question whether Results India is prepared to tackle the crises was answered. I. Stochastic Mathematical model - April 2nd, 2020 Study Design Even though this model was written a while ago i.e., I. Stochastic Mathematical model - April 2nd, there was not enough data at the time. It predicted that by 2020 3 25th May, 2020 if 50% of the people quarantined, there This model uses a classic SEIR type model would be around 241,000 cumulative cases in India. which divides the population into four compartments: That date has already passed and on 25th May, India Susceptible, Exposed, Infectious, and Recovered. actually had a total of 144,000 cases6 which means that Furthermore, the model then uses simple mathematical more than 50% of the people quarantined and helped us differential functions on Matlab to predict the covid curve flatten the curve. for India. This paper really focuses on the exponential II. Gaussian Mixture model - June 16th, 2020 nature of the virus. It also compares the difference of the impact of lockdown on the case count of covid 19. The fourier model in this predicts that, there will be It gives the case counts based on the effectiveness of around 1.1 million cases at the peak India’s lockdown. of the curve. It seems like this model does not II. Gaussian Mixture model - June 16th, 2020 4 accurately represent the current situation in India as we are nearing 1 million cases and the case count is still In this paper, the author uses two mathematical increasing at a staggering rate everyday6. methods to predict the curve for
894 Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 Figure 1 : Trend estimation using FDM4 III. Regression Analysis - June 22nd, 2020 Finally, the model that was derived from other countries and seemed to fit their data estimated that the peak cases in India would be around 2.4 million cases. This makes a lot more sense mathematically. Figure 2: Forecast for India based on the third model5
Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 895 Discussion about 1.1 million cases which seems a bit off now that the cases are going up whereas the model predicts that The predictions from the first test were pretty close they should have already reached their peak and must be to the numbers in the sense that we know that a lot more going down by mid-July. Lastly, the third study is the people quarantined at the start due to the restrictions set value that needs to be compared to the number of beds by the Government of India. The case count was a lot available as it seems to make a lot more sense compared lower than what was predicted. The second study predicts to the current trend. Table 1: Summarizing all the results Study Peak Case Count Date written 241,000 - by 25th May if 50% people Stochastic Mathematical model April 2nd, 2020 quarantined Gaussian Mixture model 1.1 million June 16th, 2020 Regression Analysis 2.4 million June 22nd, 2020 According to recent Indian Government based The public health facilities used for COVID covid-19 data, only 6-7% of the cases need hospitalization management were classified into 3 categories: out of all the cases7. This implies that at the peak of 2.4 1. Dedicated COVID Hospital (DCH) - for the million we would need about 2,00,000 beds rounded clinically assessed severe cases off. To get an actual comparison of how well prepared the country is we need to understand India’s health 2. Dedicated COVID Health Centre - for the infrastructure first. clinically assessed moderate cases Health Infrastructure 3. Dedicated COVID Care Centre - for the mild or suspect cases. These are mainly make-shift facilities set For many poor households in India, public healthcare up in hotels, hostels, stadiums etc. is the only available option since private healthcare is too expensive. And, isolation wards are required for the According to the National Health Profile 2019, there confirmed positive patients and intensive care for the are a total of 7,13,986 government beds available in critical patients. So, it is important to assess the medical India, i.e., 0.55 per 1000 population. As for the elderly capacity to formulate how to go about handling the population, the availability of beds is 5.18 per 1000 situation. population 8.
896 Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 Figure 3: Heat map of government beds in India 8 From the maps, many states lie below the national exports to make sure there was adequate supply for the average of 0.55 per 1000 population. Bihar has a shortage country, however, the demand far exceeds the supply. with just 0.11, whereas Sikkim, West Bengal and Delhi Shortage of PPE kits and other protective equipment is seem to be better off with 2.34, 2.25 and 1.05 per 1000 a matter of growing concern as it puts all the healthcare population, respectively. workers at great risk. The availability of government beds is extremely Finally, we extrapolated based on the third model low and an epidemic can make the situation much that we need around 2,00,000 beds. It is worse. Though measures are being taken to contain the spread, and early detection and treatment is supposed important to note that this is based on the current to prevent the cases from getting critical, the supply of statistic, that only 6-7% of the people get hospitalised. beds and intensive care equipment like ventilators, ICU Once the cases rise, the demand will become much and oxygen support need to be amped up. Also, the higher which puts our healthcare system under a lot of government can coordinate with the private healthcare pressure. We need to ensure that this does not occur and to meet the needs. keep, “flattening the curve,” so as to not put any pressure on the Indian healthcare system. Adding to the stress on health infrastructure is the shortage of PPE kits for the healthcare workers. The Discussion II - Where is India at right now? lockdown imposed by many countries interfered with Population, poverty, illiteracy and an overwhelmed the imports and so, the government decided to stop
Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 897 health care system are the main worries that prove to of workers returning home by foot or by train. This be deciding factors in this battle against COVID 19. showed a steady rise of cases in countries like Assam, The nationwide lockdown, a historic decision put into Chhattisgarh, Uttarakhand, Himachal Pradesh, with action on March 24th 2020, was the first step taken by most of the new cases to be people who were travelling the country to fight this, and thereby moving forward back from work places around the country. One with a ‘cluster containment strategy’ to contain the important factor in deciding what will help our country disease within a defined geographic area by early is how rapidly we test people around the nation. It will detection of cases, breaking the chain of transmission help isolate breakouts and warn people that are affected and thus preventing its spread. The 21 day lockdown by the virus to not spread it more. was first extended to May 3rd and then to May 18th. Testing While there was still a steady rise in the number of cases and fatalities, the growth rate was lower than the other India’s testing strategy changed multiple times affected countries. Studies also show that the results of throughout the past 6 months. And in an attempt to the lockdown can easily be negated if people go back ramp up the testing, ICMR approved a total of 1049 to normal activities post lockdown, showing the need laboratories, both public and private. However, the for measures of suppression post lockdown.9 On June access to testing still remains a huge challenge in many 8th, the country took a tentative step out of a 75 day parts of the country. Approval of the use of point of lockdown, opening up malls, restaurants, religious places care rapid antigen test, in containment zones as well and offices with strict measures limiting the number of as hospitals is also aimed at increasing the outreach of people, use of masks, social distancing and mandating testing, thereby reducing the spread since ‘test-track- the sanitization of premises. treat’ is the key strategy to contain the pandemic.10 The average testing rate as of June 15th was 4972 per million, In a country like India with a population of 1.2 Ladakh having the highest number of testing, followed billion, with a major sector being migrant workers and by Goa, Jammu and Kashmir and Delhi. daily wage earners, the lockdown resulted in millions Figure 4: States with the greatest share of total COVID-19 cases in India as of June 15, 2020
898 Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 Though Maharashtra seems to have the highest maintain social distancing and avoid public gatherings number of cases, it’s testing rate stands at just 5445 per till July 2021, to cut the chain of transmission and to million, indicating the need to test more and control the reduce the spread. spread.11 The state recorded 6330 new cases as of July Maharashtra 2nd , and also recorded its highest number of recovered and discharged at a count of 8018 on the same day.12 Home to India’s largest city and financial capital, Mumbai, the state recorded its first case on March 9th, There is also the problem of cases not being added and is now a red zone accounting for 32% of India’s in the state database by considering they are not native cases and 41% deaths.16 The state slashed the COVID or residents of the area.13 This can grow to be an even testing rates by private labs providing relief to people. bigger problem and the authenticity of the numbers The government also implemented an order in April, published can be raised. These stray cases need to be making it compulsory to wear a mask outside, and identified, recorded and treated appropriately. anyone violating the order would be fined or arrested. At the same time when compared to the testing rates However, the battle seemed to be not just against of 20 other countries most affected by the virus, India the virus but also other deep seated issues which were ranks in the bottom quartile with 5.63 tests per 1000 blunting the government’s efforts. The health care system people till June 26th.14 However, the testing rate has was found to be overwhelmed and burdened with having increased during the course of the pandemic, and if the to choose between patients to save due to the shortage of trend keeps up, India could move up on the list, but the beds and ventilators, and also there seemed to be piling testing needs to be ramped up extensively to keep up up of cases that died due to COVID, with families not with the surge in cases per day to contain the disease. willing to take them being afraid of the infection. Strategies Adopted by Different States Kerala The state also houses one of the largest slums of The state which first detected the virus in the country Asia, Dharavi, where 80% of the population depends on in late January, declared a health emergency after 2 community toilets and 8-10 people live in a house all in more cases were recorded on February 2nd and 3rd. narrow lanes with 2-3 storied houses, social distancing Surveillance and screening of all incoming passengers can only be considered a luxury with no possibility of from China and people who were in close contact with effective home quarantine. The first case was confirmed the travelers was the first response. With the increase in the beginning of April and by the end of the month, in cases, the state ramped up the testing, contact tracing there were about 491 cases with a doubling period of and strengthened the surveillance and control measures 18 days. The BMC was quick into action to contain against the disease. The state also built thousands of the spread, and the main components were effective shelters for the migrant workers stranded due to the containment strategy, conducting comprehensive testing nationwide shutdown, and established COVID care and ensuring uninterrupted supply of essentials to centers in all districts to accommodate the non-residents. the community. Also, quarantine facilities were set in Some of the key strategic interventions that helped colleges and nature parks and 90% of the patients were keep the disease in control are the strong community treated in Dharavi and only the critically ill were moved engagement and addressing the psychosocial needs of out. The proactive measures taken successfully reduced the vulnerable population. As of June 30th, the state the growth rate to 4.3% in May and 1.02% June.17 had sent 171,846 samples for testing, and in addition Case Fatality Rates samples were collected from health care workers as a part of sentinel surveillance, to assess community Case fatality rate, ratio of confirmed deaths to transmission.15 The experience and learnings of the state confirmed cases. It is usually used as a measure of the from the past Kerala floods of 2018 and the NIPAH severity of a disease, and also to predict its prognosis, outbreak in 2019 proved to be useful to prepare in where high rates indicate that a high fraction of COVID the fight against COVID. Furthermore, the state also affected patients are succumbing to the disease. CFR has extended the COVID regulations – to wear masks,
Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 899 seen to be increasing in most of the affected countries throughout the course of the pandemic. The rates in India went up from 1.9 in February, to 3.6 in March and then declined to 3.2% in April.18 However, when compared to other South Asian countries, India has a significantly high CFR, which highlights the limitations of the healthcare strategies like care of critical patients, early detection of cases, proper triage etc. Another concept, Lag case fatality rate which takes into consideration a 14 day delay in reporting COVID 19 deaths, is being looked into since CFR data only includes deaths till a particular date and there is usually some delay in reporting. Figure 5: Risk of death due to COVID-19 in the five worst hit states The disease wise fatality rate of COVID 19 with underlying health conditions.19 calculated based on any comorbid disorders present, indicated that diabetes, cardiovascular ailments, Treatment20 hypertension, respiratory ailments and kidney diseases The treatment protocol keeps changing from time to were the highest cause of COVID related death, in the time based on new evidence. The various drugs Indian order mentioned. And around 31.8% deaths without any Council of Medical Research (ICMR) approved are: underlying health condition, indicating how everyone needs to be vigilant and not just the elderly or the ones
900 Indian Journal of Forensic Medicine & Toxicology, April-June 2021, Vol. 15, No. 2 1. The use of Hydroxychloroquine for Conclusion chemoprophylaxis in asymptomatic health care workers In conclusion, the first study showed that more than treating confirmed cases of COVID 19 and also 50% of the people quarantined and India managed to asymptomatic household contacts of confirmed cases. flatten the curve. The second study seemed to miss the 2. Remdesivir – for patients in a moderate stage mark however showed good early data. The third was (on oxygen) used to compare the number of beds and serious cases predicted and see how geared India is. Furthermore the 3. Tocilizumab – for moderate cases with strategies from a couple different states were analyzed increasing oxygen demands, and also for mechanically to discuss what measures we are taking currently to ventilated patients showing no improvement with flatten the curve. This review article shows that India’s steroids. healthcare is prepared but that is just based on theoretical numbers. People need to be cautious and take preventive 4. Dexamethasone – as an alternative to measures otherwise, the situation could get out of hand. methylprednisolone in moderate to severe cases. The drug was shown to have benefits in critically ill patients Conflict of Interest: Nil and also reduced mortality by one third for patients on ventilators and one fifth for patients maintained on Funding: DMIMS (DU), Wardha oxygen therapy. Ethical Approval: From Institutional Ethical 5. Convalescent Plasma Therapy – is used as a Committee, DMIMS. post exposure prophylaxis where plasma containing neutralizing antibodies collected from a previously References infected and cured patient is transfused into infected 1. Coronavirus Cases: [Internet]. Worldometer. patients. It is considered in moderate cases not improving Available from: https://www.worldometers.info/ despite the use of steroids. To ease access to plasma, coronavirus/ India got its first plasma bank set up in Delhi on July 4th. 2. Schumaker E. What is R-naught for the COVID-19 virus and why it’s a key metric for re-opening plans Ayurveda is a medicine system originating [Internet]. ABC News. ABC News Network; 2020. from India. This type of system believes that prevention Available from: https://abcnews.go.com/Health/ is better than cure. It includes eating a healthy diet r0-covid-19-virus-key-metric-opening-plans/ with various herbs and doing specific exercises related story?id=70868997 to our respiratory system to build immunity against 3. Chatterjee K, Chatterjee K, Kumar A, Shankar COVID-19.21 Prevention is definitely better than the S. Healthcare impact of COVID-19 epidemic in cure and one of the only ways to fight against covid India: A stochastic mathematical model [Internet]. until the vaccine is made.22 Additionally, the role media Medical journal, Armed Forces India. Elsevier; plays is very important in keeping us connected in times 2020. Available from: https://www.ncbi.nlm.nih. like this. However, there is a lot of misinformation gov/pmc/articles/PMC7126697/ going around on social media that hinders people from 4. Singhal A, Singh P, Lall B, Joshi SD. Modeling preventing covid correctly. It is important to ensure and prediction of COVID-19 pandemic using the information we get about preventive measures Gaussian mixture model [Internet]. Chaos, solitons, from trustworthy sources with a proper scientific and fractals. Elsevier Ltd.; 2020. Available from: background.23 Furthermore, we need to ensure no other https://www.ncbi.nlm.nih.gov/pmc/articles/ diseases originate like obesity during quarantine due to PMC7296328/ lack of exercise. So it is important to maintain a healthy 5. R. Bhardwaj AA, Renshaw E, K. Verma Mahendra diet with a specific caloric intake. The diet will also help AA. A Predictive Model for the Evolution of in building immunity against Covid 19. 24 COVID-19 [Internet]. Transactions of the Indian National Academy of Engineering. Springer Singapore; 1970. Available from: https://link.
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