In the early months of 2026, a new outbreak of hemorrhagic fever in sub-Saharan Africa and a resurgence of dengue cases in Southeast Asia have once again tested the capacity of public health systems. The experience of the COVID-19 pandemic continues to shape strategies, but the landscape is now more complex: antimicrobial resistance, climate change, and human mobility accelerate the spread of pathogens.
According to the World Health Organization, the number of declared health emergencies in 2025 was 30% higher than the average of the previous decade, with simultaneous outbreaks in at least four regions.
Genomic surveillance and early warning
One of the most tangible legacies of the coronavirus crisis is the expansion of genomic surveillance. Countries such as Brazil, India, and South Africa have created laboratory networks capable of sequencing pathogens in real time, sharing data through international platforms. This allows for the identification of variants and resistances before they become global crises. However, inequality persists: many nations lack the basic infrastructure to participate in these systems.
What is genomic surveillance?
It is the technique that reads the genetic material of microbes to identify their origin, evolution, and possible mutations. In public health, it is used to track outbreaks and guide treatments.
Access to medicines as a bottleneck
The outbreak of epidemics has reignited the debate on equitable access to treatments and vaccines. During the pandemic, the concentration of patents in a few countries created critical inequalities. In 2026, the World Trade Organization continues to discuss a temporary patent waiver for essential medicines, but pharmaceutical companies and some governments oppose it. Meanwhile, initiatives such as the Medicines Patent Pool have facilitated voluntary licenses, but the pace is slow compared to the urgency.
A recent example is the outbreak of a drug-resistant tuberculosis strain in South Asia, where conventional treatments fail. The lack of access to new drug combinations has led to increased mortality, especially among displaced populations.
International cooperation and health sovereignty
The pandemic showed that no country is safe until all are safe. In 2025, the World Health Assembly approved a new cooperation framework for health emergencies, including contingency funds and rapid data-sharing mechanisms. But implementation is uneven. Some countries have strengthened their public health systems as a strategic priority, while others cut budgets in the name of fiscal adjustment.
The role of artificial intelligence in epidemic response
Artificial intelligence is beginning to play a relevant role in outbreak prediction and resource allocation. Machine learning models analyze climate patterns, human mobility, and social media data to anticipate infection hotspots. For example, systems trained on historical dengue data have managed to predict outbreaks weeks in advance in Latin American cities. However, their use raises ethical dilemmas about privacy and algorithmic bias, especially when data comes from vulnerable populations.
AI and public health
Algorithms can process large volumes of data to identify early signs of epidemics, but they require human oversight to avoid false alarms and ensure decisions do not discriminate against marginalized groups.
What does this mean for the world?
Global public health is at a crossroads. On one hand, technology offers unprecedented tools to detect and contain outbreaks. On the other, inequality in access to medicines and the fragility of health systems in low- and middle-income countries remain the main weaknesses. International cooperation, political will, and sustained investment are necessary conditions for the next health emergency not to become a global catastrophe.