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Published on: Jul 02, 2021
2 minute read
By: Dr Rakesh Rai

Delta Plus Variant Mystery: What Can Cause The Third Covid Wave?

Delta plus variant mystery: What can cause the third Covid wave?

Things in India are looking to normalize and beginning to reopen after a deadly second wave of Covid-19 infections devastated the country in April and May. There is various thought process from experts who are warning that a third wave could strike in the next few months. The majority of Indians are worried about new variants named delta plus, which is related to the Delta, an existing variant of concern first identified in India last year that was responsible for the deadly second wave.

The million-dollar question is how realistic these fears are. The reality is that future waves are not out of question but their severity and spread depend on several factors. In the past few weeks, the number of average daily cases in India has tapered down to less than 40,000 in recent days which was peak over 420,000 in May. The big drop in numbers has mainly because of strict lockdowns by states.

Many social and political events added to the second wave. If the reopening process are not orchestrated in a controlled fashion the next wave could come sooner than expected.

We are in a very decisive phase and our fate will depend on how we behave. Opening the states in a staggered manner is best. Going aggressive with vaccination and continue with COVID protocols will be the winning strategy. A balanced local and central health protocols could do the magic while severe action on defaulters could be used as a deterrent.

We know that the Delta variant had a killer impact during the second wave. The risk of future mutants in densely populated areas is known and preventive actions should be put in place immediately. There is no clear data around Delta plus but things have changed really fast when the proactive approach is not taken in advance. We need to understand that mutants only emerge when active transmission happening. A lot of research is happening around it take preemptive containment measures by understanding probable sequences.

So far data is indicating that the current vaccine is delivering good results in emerging mutants. India had sequenced 30,000 samples until June, but experts believe more needs to be done because the current vaccine is not a guaranteed long-term solution.

There are multiple cases where vaccinated people have got infected. Some call 3rd wave inevitable and some call it will be a smaller wave but the science is indicating that it will all depend on how effective our existing vaccine is against the new variants.

So, in conclusion, one can say that the key is the vaccinated population in controlling the wave and even allowing it to be formed. The acquired immunity and its efficacy will be crucial in determining the damage the third wave can cause. The required daily dose is upwards of 10 million to get all eligible populations covered by 2021.

The wide range of infection-causing natural antibodies and vaccination combined will provide the ammunition India needs badly to shield against future variants. The problem is the data around it is not very accurate. During the height of infections lot of COVID, infections went unreported. A lot of statisticians around it are guessing the acquired immunity percentage to be around 65%. This number should not be the reason we can take it easy.

Acquired immunity is immunity you develop over time from a vaccine or exposure to the infection.

Conclusively it can be said that “Third wave is only possible if the new variant beats the barriers of acquired immunity.”

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Busting Nutrition Myths in India: An Evidence-Based Guide Powered by SecondMedic’s AI Health Guide

Nutrition misinformation has become increasingly common in India. From viral social media diets to generational food beliefs, many individuals struggle to separate fact from fiction. These myths can influence daily habits, delay proper treatment and contribute to the growing burden of lifestyle diseases.

SecondMedic’s AI Health Guide was designed to offer clarity. By analysing scientific literature, Indian dietary patterns and personal health inputs, it explains complex nutrition topics in a human-friendly, practical manner. This blog explores the most widespread nutrition myths in India and how an AI-enabled approach helps users make informed dietary decisions.

Why Nutrition Myths Persist in India

1. Cultural dietary traditions

Food practices often evolve through experience but not always through evidence. Certain long-held assumptions continue despite scientific updates.

2. Rise of viral misinformation

Millions of Indians search diet advice online daily, and misleading content spreads rapidly without expert review.

3. High prevalence of lifestyle diseases

ICMR and NFHS-5 highlight escalating rates of:

Diabetes
Obesity
Hypertension
PCOS
Thyroid disorders

The public seeks quick solutions, making myths appealing.

4. Limited access to qualified dietitians

Many people rely on hearsay or generic tips rather than personalised nutrition guidance.

SecondMedic’s AI Health Guide bridges this gap by offering accessible, evidence-backed explanations.

Myth 1: “Carbohydrates always lead to weight gain.”

Carbohydrates are not inherently harmful.
The problem lies in refined carbohydrates like white bread, sugary drinks and packaged snacks.

What the science says

Whole grains, millets, oats and fibre-rich carbs improve:

Gut health
Blood sugar regulation
Energy levels

Research in Lancet Public Health confirms that complex carbs support metabolic wellbeing.

AI Health Guide perspective

The system evaluates:

Activity level
Blood sugar trends
Dietary preferences

Then recommends the type and quantity of carbs suitable for the individual.

Myth 2: “Protein damages the kidneys.”

This is one of India’s most common misconceptions.

Clinical reality

Protein affects kidneys only in individuals with existing kidney disease.

NFHS-5 shows that most Indians do not meet their daily protein requirement.

Balanced approach

Safe protein sources:

Lentils
Paneer
Eggs
Tofu
Chicken
Fish

An AI-guided nutrition plan ensures intake matches needs and health conditions.

Myth 3: “All fats are unhealthy.”

Fats play essential roles in:

Hormone production
Brain function
Vitamin absorption

Good fats

Nuts and seeds
Olive oil
Flaxseed
Fatty fish

Harmful fats

Trans fats
Hydrogenated oils
Deep-fried packaged snacks

SecondMedic’s AI Health Guide analyses dietary logs to suggest healthier fat alternatives.

Myth 4: “Detox diets cleanse the body.”

Detox teas, juices and cleanses are popular but not scientifically validated.

Actual detoxification

The liver, kidneys and digestive system naturally remove toxins.

Risks of extreme detox diets

Fatigue
Digestive distress
Slow metabolism
Nutrient deficiencies

A sustainable alternative includes balanced meals, hydration and fibre-rich foods.

Myth 5: “Eating after 8 PM causes weight gain.”

Timing is not the primary factor.
Weight gain depends on:

Total calorie intake
Food quality
Portion control
Sleep-wake cycles

For shift workers or late diners, an AI-based guide personalises eating windows that match biological rhythms.

How AI Personalises Nutrition Guidance for India

The AI Health Guide adapts advice based on:

• Clinical inputs

Blood reports, symptoms, chronic conditions.

• Lifestyle signals

Sleep, activity, stress, work schedules.

• Cultural eating patterns

North Indian, South Indian, vegetarian, non-vegetarian diets.

• Personal health goals

Weight control, energy improvement, disease management.

This ensures that the guidance is not generic-it is tailored for real-life Indian scenarios.

How an AI Health Guide Supports Preventive Healthcare

1. Early risk identification

AI recognises patterns that may indicate:

Rising blood sugar
Nutrient deficiencies
Poor digestion
Inflammatory markers

2. Behavioural nudges

Small, realistic changes are suggested instead of extreme diet plans.

3. Improved health literacy

Users understand why certain foods are better choices.

4. Better medical support

Clear explanations enhance doctor and dietitian consultations.

Conclusion

Nutrition myths can lead individuals toward restrictive diets, nutrient deficiencies and misguided health decisions. With rising lifestyle diseases in India, accurate nutrition knowledge is essential. A scientific, personalised approach-supported by an AI Health Guide-helps individuals navigate misinformation confidently.

By combining evidence-based insights with individual dietary needs, SecondMedic’s AI-driven guidance empowers people to adopt sustainable, preventive and truly health-enhancing food habits.

References

• ICMR Indian Nutrition Profile & Dietary Science Study
• National Family Health Survey (NFHS-5) - Protein Intake & Micronutrient Data
• NITI Aayog - Preventive Health & Digital Nutrition Insights
• WHO Global Dietary Guidelines & Balanced Nutrition Framework
• Lancet Public Health - Carbohydrate Quality & Metabolic Health Studies
• Statista - India Digital Nutrition & Health Behaviour Analysis
• EY-FICCI - AI and Preventive Healthcare Consumer Report

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