Perhaps it was inevitable that New York City and its suburbs would become an epicentre of the coronavirus epidemic in the US. The population density, reliance on public transportation and constant influx of tourists — all would seem to make the metropolitan area a target.

But to stop the virus, scientists have to figure out which factors played a greater role than others. As it turns out, that is not so simple.

“We have more speculation than facts,” said Dr Arnold Monto, professor of epidemiology and global health at the University of Michigan.

More than 20,000 New York City residents have tested positive for the virus so far — nearly a third of all confirmed cases in the nation. The prevalence in New York and the areas close to it is far greater than anywhere else in the country. The problem is that so little is known about the spread of this new virus that it is hard to draw conclusions.

There was almost certainly an early and undetected introduction of the virus into the city, probably in mid- to late January, said Benjamin Cowling, professor of infectious disease epidemiology at the University of Hong Kong.

“Many of the cases being detected in the past week are the result of that slow process that has built up over two months,” he said.

With many viral diseases, scientists can get a sense of the exact timing by comparing the mutations in the virus from samples taken at various times. But human coronaviruses are surprisingly stable, said Dr Paul Offit, an infectious disease expert at the University of Pennsylvania and Children’s Hospital of Philadelphia.

Once in the area, New York’s density played some role in its rapid spread but was probably not the whole story, epidemiologists said. Many New Yorkers live in high rises. Sidewalks are crowded. Subways can be jammed.

But, noted Jon Zelner, an epidemiologist at the University of Michigan, other places such as Tokyo, Seoul, and Taiwan also are very dense and have not seen the same kind of explosive growth.

The extraordinary number of cases might reflect a high level of coronavirus testing. New York City seems to be testing more aggressively than many other places, Dr Zelner said.

Maybe, others said, the age structure in the city — the many older people who live close together — played a role.

Could the effect be at least in part explained as a statistical fluke, like cancer clusters that can look ominous but turn out to be random?

Chance may play some role in situations like this, said Donald Berry, a statistician at MD Anderson Cancer centre. What matters, he says, is not the number of cases but the clusters.

Suppose an executive on Wall Street was infected early in the epidemic and exposed a group of others by shaking hands.

It was the start of a cluster that ballooned out as each person infected others. Suppose that at the same time an actor on Broadway was infected and started another cluster. And a patient in a nursing home started yet another cluster. The number of cases can start to explode.