• Published on: Apr 04, 2020
  • 3 minute read
  • By: Dr Rajan Choudhary

Declaring A Pandemic — What Does This Mean ?

  • WhatsApp share link icon
  • copy & share link icon
  • twitter share link icon
  • facebook share link icon

Its finally happened. Three months after the first case was reported in Wuhan, China, and after a 13 fold increase in cases in just two weeks, the World Health Organisation has designated COVID-19 a pandemic. This disease has resulted in over 121,500 confirmed cases across 114 nations, and 4,300 deaths, over 3,000 of them in China alone.

The WHO has shown alarm at some countries that have shown “alarming levels of inaction” and hope the new designation of pandemic will shock these nations into action. “This is not just a public health crisis, it is a crisis that will touch every sector,” said Dr. Tedros Adhanom Ghebreyesus, WHO director-general, at a media briefing. “So every sector and every individual must be involved in the fights.”

Despite this new update, it is not too late for nations to act, and countries can still impact the course of the outbreak by detecting, testing, treating and isolating patient, with further education to the public and contact tracing of cases.

WHAT IS A PANDEMIC

An epidemic is an increase in the spread of a disease within a community, and can be relatively common. Sometimes a single disease may spread rapidly in a small, unprepared community creating an epidemic. This is happening more often with the prevalence of the anti-vaxx movement, as immunity falters against preventable diseases like measles.

A pandemic on the other hand is the global outbreak of a serious new illness that is “sustainably transmitted throughout the world”. It is not a descriptor that is used lightly, as declaring a pandemic could “cause unreasonable fear, or unjustified acceptance that the fight is over,” if used incorrectly. There has been much discussion whether the declaration of N1N1 “swine flu” as a pandemic caused unnecessary panic, overwhelmed emergency services or caused excessive expenditure on antiviral medication.

Though they were concerned by the spread of the disease and came close by labelling it a “pandemic potential”, the WHO were reluctant to declare it one. Unfortunately, after 2 months of assessing the outbreak, members of the WHO were concerned “both by the alarming levels of spread and severity, and by the alarming levels of inaction.” There is no threshold, number of deaths, number of countries affected.

WHAT DOES THIS MEAN FOR THE COUNTRIES?

According to the World Bank, the annual global cost of a severe pandemic is around $570 billion, or 0.7% of the entire world’s income. This estimation is realised as more people stay at home and more authoritative measures are enforced by governments. At this time, Italy has not put in place nationwide quarantine with further closure of almost all shops and services bar food shops and chemists.

The UK is expected to move from the “containment” phase of the outbreak, aimed at halting the spread of the disease”, to “delay”. This instead accepts the disease cannot be contained, and instead looks to slow its progression. Measures such as “social distancing”, isolation of those showing minor viral symptoms and cancellation of social events. To prepare for the UK epidemic a £30bn package has been prepared to boost the economy during the COVID outbreak.

India has suspended all tourist visas and e-visas until April 15ht as a pandemic is declared. All incoming travellers including Indian nationals will be quarantined for a minimum of 14 days if they have visited China, Italy, Iran, Korea, France, Spain and Germany after 15ht February. Advice has also been given to avoid all non-essential travel abroad.

South Korea has ramped up testing, performing around 4,000 tests per million people between 3rd January and 11th March. In comparison to 1,000 per million in Italy, 400 per million in the UK and only 28 in the UK. This has been due to differences in government responses, the severity of outbreaks in each country and the nature of the healthcare system in each country.

The steady decrease in new coronavirus cases in South Korea has been attributed to this mass testing, improved public communications and the use of new technology to aid diagnosis and management. Interestingly it has been achieved without the drastic quarantine procedures in place in China and Italy.

WHAT SHOULD I DO

Washing your hands has been emphasised by almost all public health agencies and governments. And you should continue to follow this advice. Soap and water is one of the most effective ways to destroy the virus on your hands, and helps prevent its spread.

It is also important to avoid panic, and to not hoard soap, food and toilet roll. Do not trust forwards on WhatsApp or treatment advice suggested, as these can be ineffective or even dangerous. Recently 27 people died from alcohol poisoning after a myth was spread stating strong alcohol could cure coronavirus.

Similarly be wary of false cures being sold online or by un reputable stores. Currently there is no cure for COVID, and supportive treatment is required for those who fall extremely ill.

If you have symptoms of COVID-19, you should self-isolate and notify your local health authorities. Symptoms include fever, cough, sneezing, general lethargy and joint pain, symptoms similar to the flu.

If you have confirmed COVID and have been asked to quarantine yourself, PLEASE STAY INDOORS. There have been instances of infected people continuing to partake in everyday activities, resulting in the spread of the infection, sometimes to vulnerable children and the elderly.

Dr Rajan Choudhary, Product Head, Second Medic Inc, UK

www.secondmedic.com

Read Blog
AI transforming patient care

How Artificial Intelligence Is Transforming Patient Care in India

As a clinician working closely with patients across urban clinics and remote teleconsultation setups, I have seen firsthand how delayed diagnosis, fragmented follow-up, and specialist shortages affect outcomes in India. Artificial intelligence is not a futuristic concept in Indian healthcare anymore. It is actively reshaping how we diagnose diseases, monitor patients, and prevent complications.

AI, when used responsibly under clinical supervision, is becoming a critical support system for doctors and a powerful safety net for patients navigating a complex healthcare ecosystem.


Why India’s Healthcare System Needs AI

India’s healthcare challenges are deeply structural. A large population burdened by lifestyle diseases, combined with uneven access to medical expertise, creates gaps that traditional systems struggle to bridge.

In daily practice, we increasingly see patients presenting late with diabetes, hypertension, heart disease, or cancer. Many ask a simple but important question: why was this not detected earlier? The answer often lies in limited screening, overloaded clinicians, and lack of continuous monitoring.

Chronic conditions dominating Indian clinics today include:

  • Diabetes affecting over 100 million individuals.

  • Hypertension rising even among young adults.

  • Cardiovascular disease driven by late detection.

  • Increasing cancer incidence with delayed diagnosis.

AI matters here because it supports earlier identification of risk patterns, reduces diagnostic delays, and allows clinicians to focus on decision-making rather than data overload.


How AI Is Changing Medical Diagnosis

One common concern patients raise during consultations is whether AI can truly diagnose diseases accurately. In practice, AI does not replace a doctor. It acts as a high-speed analytical assistant.

AI in Imaging and Diagnostics

AI systems can rapidly analyse:

  • X-rays and CT scans.

  • MRI images.

  • Mammograms.

  • Pathology slides.

  • Cardiac and neurological imaging.

These tools flag abnormalities within seconds, allowing doctors to prioritise critical findings. Clinical studies published in peer-reviewed journals have shown that AI models can match specialist-level accuracy for specific imaging tasks when used correctly.

From a physician’s perspective, the real benefit is not speed alone. It is consistency. AI reduces the risk of missed findings during high-volume diagnostic workflows, especially in resource-constrained settings.


Can AI Monitor Patients Outside Hospitals

Patients managing chronic illness often ask whether technology can help them avoid repeated hospital visits. AI-enabled remote monitoring is one of the most meaningful advances in this area.

AI-Supported Remote Patient Monitoring

AI continuously evaluates trends in:

  • Blood pressure.

  • Heart rate variability.

  • Blood glucose patterns.

  • Oxygen saturation.

  • Physical activity and sleep quality.

Rather than reacting to a single abnormal value, AI identifies worsening trends over time. Clinically, this allows early intervention before complications escalate.

Evidence from global health system studies shows that continuous monitoring can significantly reduce avoidable hospital admissions, particularly for diabetes, heart disease, and elderly patients.


Using AI to Predict and Prevent Chronic Diseases

Preventive healthcare remains underdeveloped in India. Most patients seek care after symptoms appear. AI helps shift this model.

By analysing medical history, lifestyle habits, vitals, and environmental factors, predictive models can estimate:

  • Future heart attack risk.

  • Progression of diabetes.

  • Decline in kidney function.

  • Stroke probability.

  • Asthma exacerbation triggers.

Patients often ask if AI can really prevent disease. Prevention here means early warnings. When risk patterns are detected early, doctors can adjust treatment plans, recommend lifestyle changes, and prevent irreversible damage.


Personalised Treatment in a Diverse Indian Population

Indian patients differ widely in genetics, diet, stress patterns, and cultural habits. Standardised treatment protocols often fall short.

AI supports personalised care by analysing:

  • Medication responses.

  • Dietary intake.

  • Blood markers.

  • Sleep and stress trends.

  • Coexisting medical conditions.

For example:

  • In diabetes care, AI helps personalise carbohydrate distribution and medication timing.

  • In hypertension, it identifies sodium sensitivity and stress-related spikes.

  • In hormonal conditions like PCOS, it aligns nutrition and activity with cycle patterns.

From a clinical standpoint, personalised insights improve adherence and reduce relapse rates.


AI-Enabled Telemedicine and Smarter Consultations

Telemedicine has become an essential part of care delivery in India. Patients frequently ask whether online consultations are as effective as in-person visits.

AI enhances telemedicine by:

  • Structuring symptom inputs before consultations.

  • Routing patients to the appropriate specialist.

  • Generating concise medical summaries for doctors.

  • Supporting follow-up reminders and medication adherence checks.

When used correctly, AI reduces diagnostic delays and improves consultation efficiency without compromising safety.


Expanding Healthcare Access Beyond Cities

A major question in public health is whether AI can truly improve rural healthcare access. In practice, it already is.

AI enables:

  • Remote diagnostics supported by portable devices.

  • Virtual specialist consultations for rural clinics.

  • Smartphone-based imaging and screening tools.

  • AI-guided triage in underserved regions.

By reducing dependence on physical proximity to specialists, AI helps bridge longstanding geographical barriers in India’s healthcare system.


Safety, Ethics, and the Role of Doctors in AI Care

Patients rightly express concern about safety, privacy, and over-reliance on technology. These concerns are valid.

Responsible AI use in healthcare requires:

  • Transparent algorithms.

  • Explicit patient consent.

  • High-quality, verified medical datasets.

  • Strict data privacy safeguards.

  • Continuous clinical supervision.

In ethical practice, AI outputs never replace medical judgment. Doctors remain accountable for decisions. Human-in-the-loop verification is essential to ensure patient safety and trust.


What This Transformation Means for Indian Patients

Artificial intelligence is fundamentally changing patient care in India by making healthcare more proactive, more precise, and more accessible. From early diagnosis to personalised treatment and continuous monitoring, AI empowers both patients and clinicians with data-backed clarity.

SecondMedic’s patient-first approach integrates AI as a clinical support system, not a replacement for doctors. By combining medical expertise with digital intelligence, the goal remains simple: better outcomes, earlier intervention, and care that adapts to each patient’s real-world needs.

As clinicians, our responsibility is to ensure that technology serves patients ethically and effectively. When used with care and oversight, AI has the potential to redefine healthcare delivery across India in a way that is inclusive, preventive, and sustainable.

See all

Live Doctor consultation
Live Doctor Chat

Download Our App & Get Consultation from anywhere.

App Download
call icon for mobile number calling and whatsapp at secondmedic