{"id":13840,"date":"2026-07-17T12:06:47","date_gmt":"2026-07-17T11:06:47","guid":{"rendered":"https:\/\/blog.caixaresearch.org\/?p=13840"},"modified":"2026-07-17T12:07:13","modified_gmt":"2026-07-17T11:07:13","slug":"can-we-prevent-future-pandemics","status":"publish","type":"post","link":"https:\/\/blog.caixaresearch.org\/en\/can-we-prevent-future-pandemics\/","title":{"rendered":"Can we prevent future pandemics?"},"content":{"rendered":"

\"\"<\/p>\n

Disease X<\/b><\/p>\n

This was the name given in 2018 by the World Health Organisation (WHO) to a disease which, although not yet known (and perhaps not even in existence), could cause <\/span>a serious epidemic or pandemic in the future.\u00a0<\/b><\/p>\n

Barely two years later, what could be considered the first example of this so-called \u2018Disease X\u2019 arrived: COVID-19.\u00a0<\/span><\/p>\n

Since then, the constant barrage of headlines about new pathogens, alerts and outbreaks (avian flu, monkeypox, Ebola, hantavirus, etc.) has once again fuelled fears in view of the inevitable question: <\/span>\u2018<\/span>Are we on the brink of a new pandemic?<\/b>\u2019<\/span>. This is followed by an attempt at reassurance: \u2018But\u2026 after everything we\u2019ve learned from COVID-19, surely we\u2019re better prepared now; aren\u2019t we? <\/span>Perhaps we could even prevent it?<\/b>\u2019<\/span><\/p>\n

Pandemics used to be viewed as an inevitable part of our history. However, science now has unprecedented tools to anticipate, monitor and contain emerging diseases before they become global threats. The question is no longer limited to what the next pandemic will be and how to respond to it, but to what extent we’ll be able to stay one step ahead.<\/span><\/p>\n

Led by <\/span>Jose Mu\u00f1oz<\/span><\/a>, researcher at ISGlobal and Head of the International Health Service at Hospital Cl\u00ednic Barcelona., and by “la Caixa” Foundation fellow <\/span>Gerardo Ceada<\/span><\/a>, in charge of IRTA\u2019s <\/span>animal organoid biobank<\/span><\/a>, we examine how science is currently working to detect emerging risks and the role played by epidemiological surveillance, biomedical research and the <\/span>One Health <\/span><\/i>approach in preventing future pandemics.<\/span><\/p>\n

 <\/p>\n

More than just a hunch\u00a0<\/b><\/h4>\n

The feeling that more and more new viruses are appearing is not just a perception. \u201cOver the past three decades, their number <\/span>has grown considerably<\/b>\u201d states Jos\u00e9 Mu\u00f1oz. The Zika virus, MERS-CoV and COVID-19 itself are just some of the most recent examples.<\/span><\/p>\n

\"\"

Gerardo Ceada and his team at Zoorganoids<\/em><\/p><\/div>\n

However, there are two sides to this increase. \u201cOn the one hand, we now have <\/span>better epidemiological surveillance and diagnostic systems, <\/b>so we can detect outbreaks that would have previously gone unnoticed. But, on the other hand, we’re also witnessing <\/span>a real increase <\/b>in the transmission of pathogens between species\u201d adds Gerardo Ceada. \u201cSuch cases are known as \u2018zoonoses\u2019\u201d explains Jos\u00e9, \u201cand it’s estimated <\/span>they account for around 70% of the new diseases <\/b>we see today\u201d.<\/span><\/p>\n

 <\/p>\n

With the wind in their sails<\/b><\/h4>\n

Whether a virus goes on to become a public health problem is rarely down to chance. Behind most emerging diseases lies a combination of <\/span>environmental, social and demographic factors <\/b>that create the perfect setting for a pathogen to jump from one species to another and then find a way to spread.<\/span><\/p>\n

\u201cWe have a fairly good understanding of the factors that promote the emergence and spread of these diseases, and many of them are intensifying\u201d notes Mu\u00f1oz. \u201cOne of the most significant is <\/span>climate change<\/b>, which is altering the distribution of species capable of acting as reservoirs or vectors for diseases. A good example of this is the tiger mosquito, which is becoming increasingly widespread in Europe and is capable of transmitting viruses such as dengue, Zika and chikungunya\u201d.<\/span><\/p>\n

Added to this are <\/span>deforestation, urbanisation and growing international travel<\/b>. <\/span>\u201cThere’s increasingly closer contact between people and wildlife, whilst travel makes it easier for a local outbreak to spread rapidly\u201d explains Mu\u00f1oz. The 2014 Ebola epidemic is a case in point: an outbreak that probably began in a small village in Guinea, when a two-year-old boy was playing with bats, and ended up spreading to become the largest Ebola epidemic on record to date.<\/span><\/p>\n

Finally, other factors such as <\/span>poverty, armed conflicts, migration and the weakness of some healthcare systems<\/b> complete the scenario. \u201cIn such situations, it’s more difficult to detect new pathogens at an early stage and respond quickly, increasing the risk that a local outbreak will end up becoming much bigger\u201d adds Jos\u00e9.\u00a0<\/span><\/p>\n

 <\/p>\n

Always one step ahead<\/b><\/h4>\n

For decades, epidemiological warning systems have relied mainly on so-called <\/span>passive surveillance<\/b>, i.e. hospitals and health centres reporting cases once they’ve already emerged. \u201cIt’s a system that works, but sometimes cases are detected too late or aren’t reported properly\u201d notes Jos\u00e9 Mu\u00f1oz. \u201cThe challenge now is to move towards <\/span>active surveillance<\/b>. In other words, not waiting for an outbreak to become evident but looking for the first signs that something unusual is happening\u201d.<\/span><\/p>\n

\"\"

Jos\u00e9 Mu\u00f1oz<\/em><\/p><\/div>\n

And it’s thanks to technology that this shift in focus is becoming possible: from <\/span>AI algorithms <\/b>capable of analysing millions of pieces of clinical data in real time to the <\/span>genomic analysis <\/b>of wastewater to detect pathogens before they spread, <\/span>digital surveillance <\/b>based on internet searches and social media conversations, and even the use of <\/span>satellite imagery <\/b>to monitor climate variables linked to certain diseases, to quote just a few examples.<\/span><\/p>\n

\u201c<\/span>We’re living in exciting times<\/b>\u201d says Mu\u00f1oz. \u201cMultidisciplinary teams are working with these technologies to detect events at an early stage and respond sooner. There’s still a long way to go, particularly when it comes to coordinating all these systems, but we’re moving in the right direction\u201d.<\/span><\/p>\n

 <\/p>\n

The importance of prevention<\/b><\/h4>\n

This paradigm shift is already giving rise to new, concrete tools capable of anticipating risk.<\/span><\/p>\n

One such tool is <\/span>Famba<\/span><\/a>, a platform developed by Jos\u00e9 Mu\u00f1oz\u2019s team that uses AI to integrate epidemiological, climatic and mobility data with the aim of predicting the risk of infectious diseases.<\/span><\/p>\n

\"\"

Famba App<\/em><\/p><\/div>\n

The platform offers international travellers <\/span>personalised recommendations <\/b>(for instance, an estimate of the actual risk of contracting dengue fever based on the destination, the time of year and environmental conditions) but it also functions as a <\/span>collective surveillance<\/b> system. By identifying which situations are typical in each region and detecting deviations, it enables a faster public health response.<\/span><\/p>\n

Another way of staying one step ahead of a pandemic is to study viruses even before they find a new host. That’s the aim of <\/span>Zoorganoids\u2122<\/span><\/a>, IRTA\u2019s animal organoid biobank, where Gerardo Ceada works. Thanks to organoids cultured from the stem cells of more than 40 animal species, the team can analyse <\/span>how viruses interact with different hosts <\/b>without the need to experiment on live animals.<\/span><\/p>\n

\"\"

Left: Porcine lung organoids infected with swine influenza A (H1N1) virus. Cytoskeleton in white, nuclei in cyan, and virus in magenta. Right: Nitrogen tank containing organoid samples.<\/em><\/p><\/div>\n

\u201cWe can infect organoids from numerous species with the same pathogen to identify which animals might be susceptible even before the infection occurs in the wild\u201d explains Gerardo Ceada.<\/span><\/p>\n

Although they employ very different strategies, projects such as Famba and Zoorganoids\u2122 share the same underlying principle: <\/span>One Health \u2013 <\/span><\/i>the premise that <\/span>human health cannot be understood in isolation<\/b>.<\/span><\/p>\n

\u201cFor decades, human health, animal health and the environment were studied separately. Today we realise <\/span>they form part of the same system<\/b>\u201d explains Mu\u00f1oz.\u00a0<\/span><\/p>\n

 <\/p>\n

A predictable future<\/b><\/h4>\n

We’ll probably not be able to prevent new viruses from emerging. As long as there are pathogens capable of jumping between species, emerging diseases will continue to arise. But that doesn’t mean we’re doomed to repeat a crisis like that of COVID-19.<\/span><\/p>\n

\u201cPandemics are not entirely avoidable but they are <\/span>increasingly predictable and <\/b>controllable<\/span>\u201d summarises Gerardo. The key lies in detecting threats as early as possible, in gaining a better understanding of how pathogens evolve and in taking swift, coordinated action before a local outbreak becomes a global problem.<\/span><\/p>\n

The fact is that the possibility of a \u2018Disease X\u2019 will always exist somewhere on the planet. And although the ultimate goal will always be to eradicate it, that may not always be possible. As Jos\u00e9 points out, \u201cif we manage to detect the disease promptly and implement a rapid, coordinated response, we’ll have achieved a great deal. <\/span>That’s the current aim<\/b>\u201d.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

\"\"<\/p>\n

Disease X<\/p>\n

This was the name given in 2018 by the World Health Organisation (WHO) to a disease which, although not yet known (and perhaps not even in existence), could cause a serious epidemic or pandemic in the future.\u00a0<\/p>\n

Barely two years later, what could be considered the first example of this so-called \u2018Disease X\u2019 arrived: COVID-19.\u00a0<\/p>\n

Since then, the constant barrage of headlines about new pathogens, alerts and outbreaks (avian flu, monkeypox, Ebola, hantavirus, etc.) has once again fuelled fears in view of the inevitable question: \u2018Are we on the brink of a new pandemic?\u2019. This is followed by an attempt at reassurance: \u2018But\u2026 after everything we\u2019ve learned from COVID-19,<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[601,600],"tags":[],"class_list":["post-13840","post","type-post","status-publish","format-standard","hentry","category-research","category-science-outreach"],"acf":[],"yoast_head":"\nCan we prevent future pandemics? - Blog CaixaCi\u00e8ncia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.caixaresearch.org\/en\/can-we-prevent-future-pandemics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can we prevent future pandemics? - Blog CaixaCi\u00e8ncia\" \/>\n<meta property=\"og:description\" content=\"Disease X This was the name given in 2018 by the World Health Organisation (WHO) to a disease which, although not yet known (and perhaps not even in existence), could cause a serious epidemic or pandemic in the future.\u00a0 Barely two years later, what could be considered the first example of this so-called \u2018Disease X\u2019 arrived: COVID-19.\u00a0 Since then, the constant barrage of headlines about new pathogens, alerts and outbreaks (avian flu, monkeypox, Ebola, hantavirus, etc.) has once again fuelled fears in view of the inevitable question: \u2018Are we on the brink of a new pandemic?\u2019. 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