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Published on: May 15, 2020
4 minute read
By: Dr Rajan Choudhary

Living With COVID And Returning To BAU!

Hurdles to Business As Usual – Hurdles to Life as Usual – Living with COVID!

Obstacles to re-open the country

As we come to the 2-month mark of lockdown, its effect on the populous is becoming apparent. The extreme restrictions have had a significant impact on people’s physical health, mental health, and general livelihood, and many people are itching for life to get back to normal. Many countries including New Zealand, Germany, Italy, and Spain have seen the first peak of COVID infections pass, and some have already begun reopening parts of their economy. This has led to concerns from public health officials that relaxing the lockdown too early and too liberally will lead to a rapid increase in infection rates. Indeed, Germany has already seen an increase in R0 above 1 (one infected person will infect more than one person, causing the disease to propagate).

Trying to work out how to reopen a country without causing another spike in COVID deaths is probably the biggest issue faced by public health officials across the world. And trying to convey clear instructions to the public is an issue some countries are currently struggling with. In the next few blogs we will look at the issues faced, what has worked and what needs improvement, and what we as the public can do to keep ourselves safe.

THE MASKS WE WEAR

We have discussed masks at the start of the pandemic, and we have discussed masks as the pandemic has progressed. Why are we bringing it up again?

Masks have been a heated point of contention, but their role in public health has matured over the past few weeks. At the beginning of the pandemic, masks were a rare commodity, with DIY stores running dry of masks, stories of people stealing masks from clinical environments, and very confusing advice on whether the public should wear masks in public.

At that time the WHO had recommended only infected patients and those working with infected people wear masks, to save on the precious PPE for medical professionals. N95 respirators are seen as the gold standard in protective equipment, and hospitals are still struggling to provide staff with enough respirators, let alone the public. Concerns have also been raised on whether using masks will provide a false sense of security, especially if they stop washing hands or touch the infected parts of the masks.

But now we are past the first COVID peak, and advice on masks has changed. People should wear a mask if they are in public. Germany has implemented this advice, as has Austria for its public markets. In the US many stores are requesting public wear masks before entry. Rather than surgical masks or respirators, the use of homemade or purchased cotton masks has been encouraged.

LET’S LOOK AT WHY

Surgical masks and respirators aim to protect the user from inhaling microscopic aerosolized COVID particles. Cotton masks do not function this way. Instead, they prevent the wearer from spreading COVID by catching much larger droplets that is coughed/sneezed or generally breathed out.

The majority of people with COVID-19 are able to spread the infection to others up to 3 days before they show symptoms. Indeed as many as 50% of infections seem to occur from pre-symptomatic individuals. During this time they produce the greatest amount of viral particles, and these particles can stay in the air for several hours. Someone with asymptomatic COVID walking around in public or in a shop could infect lots of people.

So wearing a mask, even if you are not symptomatic or around infected patients helps prevent the spread of the infection. We know already just how infective COVID-19 is, so any measures that reduces infection even a little will end up reducing spread drastically on a population level. It has been compared to seatbelts – one person might not feel the benefits, but they save thousands of lives across the country on a yearly basis.

IS THERE ANY EVIDENCE?

In our blogs, we often talk about the importance of evidence. We look at the quality of evidence, how different types of research gives good and bad evidence, and why we should always give evidence-based advice.

So is there any evidence supporting masks? We have evidence that cloth masks can stop 99% of droplets that are coughed up, and whilst it doesn’t block aerosols or actual viral particles it still has a significant impact on transmission. We also have strong evidence from high infectivity in choir groups and at call centers that the majority of transmission is via the air, rather than from surfaces.

But what about the highest level of evidence? Comparing people who do or don’t wear masks is not a study that can be easily performed or one that has been performed adequately. But why should you wait? There is minimal to no risk associated with wearing a cloth mask, it offers some protection to you and a lot of protection to the public. In these cases, we should take a precautionary approach.

We don’t have any high-quality evidence looking at hand washing or physical distancing. But precautionary measures enforced have helped reduce infectivity. The same applies to masks. The best we can offer is an Australian study looking at mask use during influenza. They found observational data suggest that transmission of viral respiratory infection was significantly reduced during the SARS epidemic with the use of face masks as well as other infection control measures” and “in an adjusted analysis of compliant subjects, masks as a group had protective efficacy in excess of 80% against clinical influenza-like illness.”. In compliant users, masks were highly efficacious.

So that’s our advice. If you're going to go out in public, wear a mask.

If you don’t have a mask, you can order one online. Or be adventurous. Make one out of an old T-shirt or sock. Here are some ways to make one without needing to sew.

https://www.theguardian.com/us-news/2020/may/11/make-non-medical-coronavirus-face-mask-no-sewing-required masks

https://www.youtube.com/watch?v=r51YroAFPds DIY Face Mask

MORE INFORMATION

https://www.fast.ai/2020/04/20/skeptics-masks/#mightnt-people-handle-their-masks-wrong-and-make-things-worse Masks - FAQ

https://www.bmj.com/content/369/bmj.m1435 face masks for the public

https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30918-1/fulltext wearing face masks in the community during the COVID-19 pandemic: altruism and solidarity

https://twitter.com/trishgreenhalgh/status/1253244613927874560 twitter trisha

Dr Rajan Choudhary, UK, Chief Product Officer, Second Medic Inc

www.secondmedic.com

Read Blog

AI-Based Disease Detection India: How SecondMedic Is Transforming Early Diagnosis

India’s healthcare landscape is evolving rapidly, with artificial intelligence emerging as one of the most powerful tools for early disease detection. AI-based disease detection India represents a major shift from reactive healthcare to predictive, preventive, and precise medical analysis. Instead of waiting for symptoms to appear, AI enables clinicians and patients to identify risks early through advanced data interpretation.

Rising chronic diseases, increased diagnostic loads, and limited specialist availability make AI essential for early diagnosis in India. The use of AI in medical imaging, risk scoring, and pattern recognition significantly enhances accuracy while reducing time-consuming manual processes. SecondMedic integrates AI-powered diagnostic tools to help individuals detect health conditions in their earliest stages, enabling timely intervention and improved long-term outcomes.

Why India Needs AI-Based Disease Detection

India faces one of the world’s highest burdens of chronic and lifestyle diseases. Many conditions remain undiagnosed until they reach advanced stages, often due to late screenings, limited access to specialists, or lack of early symptoms.

The need for AI-based detection is driven by:

High incidence of silent diseases like diabetes and hypertension
Overloaded healthcare systems
Limited availability of expert radiologists
Rising lifestyle risk factors
Increasing demand for precision diagnostics
Need for faster, more accurate analysis

AI bridges these gaps by providing early alerts, consistent accuracy, and fast interpretations.

How AI Detects Diseases Early

AI-based disease detection uses machine learning models trained on thousands of medical datasets. These models learn to recognize abnormal patterns and subtle changes that the human eye might overlook.

AI analyzes:

Blood test patterns
Vital signs and wearable data
Imaging scans (X-rays, MRIs, CT scans)
Medical history
Genetic predispositions
Lifestyle habits

Through advanced algorithms, AI can identify risks long before symptoms appear, giving patients critical time for prevention and treatment.

AI in Medical Imaging: A Major Breakthrough for India

Medical imaging AI has transformed diagnosis speed and accuracy. In India, where access to radiologists is uneven, AI helps bridge diagnostic gaps.

AI-assisted imaging helps detect:

Lung infections and tuberculosis
Early-stage cancer indicators
Cardiac abnormalities
Brain tumors and neurological issues
Bone fractures and musculoskeletal conditions
Liver and kidney anomalies

SecondMedic uses AI-supported imaging interpretation to enhance precision and reduce reporting delays.

AI for Chronic Disease Prediction

Chronic illnesses often develop silently. By analyzing long-term trends, AI can predict disease progression and alert patients earlier.

AI helps forecast:

Prediabetes to diabetes progression
Heart attack risk
Hypertension development
Chronic kidney disease
Thyroid dysfunction
Metabolic health decline

These predictions allow individuals to take preventive action far in advance.

Personalized Disease Detection with AI

AI enables personalized diagnostics by incorporating each user’s biological and lifestyle data into prediction models.

Personalized AI detection considers:

Age and family history
Diet and activity levels
Sleep patterns
Stress levels
Blood markers
Genetic factors

This creates a highly individualized health risk profile.

SecondMedic’s AI engine creates a personalized risk score for each user, allowing targeted preventive strategies.

AI for Cancer Early Detection

Cancer often goes undiagnosed until it reaches advanced stages. AI helps detect early warning signs by analyzing subtle abnormalities.

AI supports early cancer detection in:

Breast cancer (mammograms)
Cervical cancer (Pap tests and visual scans)
Lung cancer (X-rays and CT scans)
Colon cancer indicators
Skin cancer lesion analysis

This improves survival rates by supporting early diagnosis.

Real-Time Monitoring with AI

Continuous monitoring is essential for early disease detection. AI integrates with wearable devices and digital health tools to track vital parameters in real time.

AI monitors:

Heart rate trends
Oxygen levels
Blood pressure variations
Stress levels
Sleep quality
Blood glucose fluctuations (connected devices)

Real-time alerts notify users of abnormalities that require attention.

AI in Public Health Disease Detection

AI is also used at the population level to identify disease patterns and outbreaks.

AI supports public health by:

Predicting outbreak patterns
Analyzing environmental health impact
Tracking regional disease trends
Supporting government screening programs

This strengthens India’s preventive health strategy.

How SecondMedic Uses AI for Disease Detection

SecondMedic integrates AI tools throughout its digital healthcare ecosystem, helping individuals access early detection and preventive insights.

SecondMedic’s AI capabilities include:

Risk scoring for diseases
AI analysis of medical reports
Predictive analytics dashboards
Early-warning alerts
Integration with wearables
AI-supported doctor consultations

This helps users understand risks clearly and take action early.

Challenges in AI-Based Disease Detection

While AI offers powerful benefits, it must be used responsibly.

Challenges include:

Requirement of high-quality medical data
Need for clinical validation
Maintaining data privacy
Avoiding algorithmic bias
Ensuring user awareness and understanding

SecondMedic follows ethical AI practices aligned with DPDP Act and ABDM standards.

Future of AI-Based Disease Detection in India

AI will continue to redefine diagnostics in India over the next decade.

Future developments include:

Deep AI for full-body scan interpretation
Genomic-based AI predictions
Emotion and mental health detection through AI
AI-assisted virtual triage systems
At-home AI diagnostic kits
National integrated AI health platforms

SecondMedic aims to lead in these innovations by integrating advanced predictive tools.

Conclusion

AI-based disease detection India is shaping a new era of proactive healthcare. By analyzing health patterns, detecting abnormalities early, and providing accurate risk assessment, AI empowers individuals to act before diseases progress. SecondMedic uses AI-driven diagnostic tools to support early detection, preventive care, and long-term health protection.

To explore AI-powered diagnostic support, visit www.secondmedic.com

References

NITI Aayog – AI for Healthcare in India
WHO – AI in Early Disease Detection
ICMR – Chronic Disease Patterns India
IMARC – Indian AI Healthcare Market
FICCI – AI and Precision Medicine India

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