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Prediction markets open Hantavirus pandemic bets, face backlash

Sudhanshu Ranjan
Written by Sudhanshu Ranjan

This week, while Tenerife’s health authorities started the difficult work of screening 147 passengers and crew from the hantavirus-affected MV Hondius, another type of fever was rising online: speculative speculation. A localised medical emergency became a high-stakes volatility bet for international traders as the ship languished in isolation and the digital boards of prediction markets turned into a real-time scorecard for concern around the world.

Major prediction market platforms Polymarket and Kalshi launched markets on the possibility of a future pandemic following recent Hantavirus concerns. Polymarket was among the first to open trading linked to reports of Hantavirus cases aboard the Dutch cruise ship MV Hondius. The platform sent subscribers an email titled “A new pandemic?” highlighting growing speculation around a possible outbreak. Trading activity briefly pushed the market-implied probability of a pandemic to 32.9 per cent before dropping back to around 8 per cent.

The event has reignited discussion about whether prediction markets are offering useful forecasting tools or turning public health issues into speculative financial goods. Built on the promise of enabling users to “trade on anything”, both platforms have quickly grown into markets encompassing global events, politics, conflicts, and health crises.

Why pandemic betting is different

Beyond the actual medical risk, a wave of conjecture was sparked by the Hantavirus concern on the MV Hondius cruise ship near Tenerife. Prediction markets responded quickly when many travellers were tracked across several nations, despite specialists emphasising that there was little risk of a global epidemic. Contracts associated with a potential epidemic saw a lot of activity on sites like Polymarket, with odds briefly rising before declining.

Given that Hantavirus spreads differently and is significantly less contagious than COVID-19, the public’s worry and recollections of the virus drove the frenzy more than scientific data. As traders poured in, frequently driven more by fear and volatility than by real research, social media magnified the spectacle.

Since they entail human suffering and social sorrow, pandemic markets are more emotionally charged than betting on elections or economic indicators. A worrisome ethical dilemma is raised when odds change in tandem with infection reports: does financial speculation directly related to public health catastrophes run the risk of normalising disengagement from crises that have a significant impact on people’s lives?

Source: Polymarket.

In order to prevent speculation on violence, Senator Adam Schiff introduced the DEATH BETS Act (Discouraging Exploitative Assassination, Tragedy, and Harm Betting in Event Trading Systems). Lawmakers have already voiced worries about similar contracts linked to wars and assassinations. Prediction markets run the danger of facing severe criticism if they are perceived as taking advantage of tragedy because financial markets rely on public confidence.

Kalshi operates under US regulations, while platforms like Polymarket rely on offshore setups. Existing laws, such as the Commodity Exchange Act, already ban contracts related to events like war or assassination. However, pandemic-related markets fall into a murkier space, as they can be seen as harmful to the public without directly betting on deaths.

To avoid backlash, many companies have steered clear of offering contracts tied to loss of life, as they do not want to appear irresponsible. At the same time, regulators continue to struggle with a basic question, where to draw the line between legitimate forecasting tools and outright gambling. Pandemic betting pushes that boundary even further, and if these concerns continue, stricter actions could follow. Moves like Brazil’s ban on certain prediction services, along with rising political pressure, suggest that broader crackdowns may be on the horizon.

Source: Kalshi.

Insider trading and information asymmetry

Pandemic prediction markets are particularly complex due to insider trading issues. Confidential information is frequently held by people with the most accurate knowledge during health emergencies before it is made public. There are significant moral and legal issues if they trade on that.

For example, markets could be influenced by a hospital administrator who has exclusive access to early signs of rapid spread. Recent breaches of political polling data have prompted researchers to investigate how insider advantages might distort prediction markets.

Platforms like Polymarket and Kalshi address these problems in different ways. The worry is not just hypothetical; claims of manipulation by affluent traders shook prediction markets during the 2024 and 2025 election cycles. This risk is increased in the context of public health: a government health official or hospital administrator with early access to infection clusters might effectively “short” public safety by making money off of a crisis before the general public is even aware of the threat.

Source: Kalshi.

Future of prediction markets

Prediction markets are developing into alternative information systems where public opinion, financial incentives, and actual occurrences come together. This growth brings up challenging issues regarding how society weighs the advantages of predicting against moral considerations. However, these contracts could be used as acceptable risk-management instruments by organisations with substantial pandemic exposure, such as governments, airlines, and insurers.

However, unchecked speculation runs the risk of turning human tragedies into commodities that may be traded. Strict rules on insider trading, manipulation, and openness would be necessary for these markets to become more widely accepted. They will probably continue to be seen as speculative gambling rather than reliable financial instruments in the absence of such protections. The ability of legislation to uphold trust while keeping up with innovation will ultimately determine the future of prediction markets.

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