infect tens of thousands of people , and claiming the lives of almost half of those , theoutbreak of Ebolaa few days back was the worst ever experient . Butit now seemsthat the Brobdingnagian bulk of those who were infected with the disease abbreviate it from a tiny proportion of multitude .

A recent study , issue in theProceedings of the National Academy of Sciences , has found that 61 percent of all the recorded cases of Ebola that happen during the 2014 - 2015 outbreak were likely spread out by just 3 percent of those taint . What ’s more , there was a distinct radiation diagram in these “ superspreaders ” , which were more probable to be either under the historic period of 14 or over the age of 45 .

By looking at where and when new cases emerge , the researchers were able to build up a precise pattern of how the disease circularise through the region to such a fine answer that they could even calculate how many citizenry each individual infected somebody spread the virus to . While most people with Ebola only had a minor window in which they were infectious , there was a small group who were infective for much long period of time .

“ The recent West African outbreak was on an unprecedented scale and many cases , especially those pass out in the residential district , come along to have arisen from a astonishingly small identification number of infected someone , " explain Professor Jonathan Ball toBBC News . " Whether this was due to biological or social factors is unclear , and these will be important questions to address if we are to understand how Ebola computer virus tops - dispersed occurs . ”

The researchers suggest that those who were the so - called “ superspreaders ” were not of necessity more infective than the others . Rather , it may be that the shaver and old extremity of the communities were more likely to come into contact with a larger figure of people , as champion and family members rallied around to give care for them . This would have vastly increased the number of mass to which the disease could then be spread , far more so than a single individual living in a household on their own .

By understanding on the button how the virus spread , the research worker go for to build up up a much more effective management system for if , or when , it remerges . It would mean that they could then point the superspreaders , and hopefully dramatically whip the bit of infections .