Scientists Map H7N9's Infection Risks

by Sheela Philomena on May 5, 2013 at 11:39 AM
 Scientists Map H7N9's Infection Risks

Avian influenza (H7N9) risk based on the northwards migratory patterns of birds using environmental and meteorological data has been mapped by scientists.

The map comprises of bird migration patterns, and adding in estimations of poultry production and consumption, which are used to deduce future risk and to advice on ways to prevent infection.


Till now there have been 127 confirmed cases of H7N9 in mainland China with 27 deaths and lack of data about the virus and its mode of transmission has led to public concerns that it could be a pandemic that is waiting to happen.

To quantify the risk of this happening, scientists from the Hong Kong Baptist University and Chinese University of Hong Kong generated a map of H7N9 risk in eastern China.

The distribution of potentially infected poultry was also included in the model.

The majority of early cases of H7N9 were found in Shanghai, which is not a big poultry exporter so the model shows limited transmission via this route.

In contrast, Jiangsu distributes poultry to Shanghai, Zhejiang, and beyond.

Prof Jiming Liu who led the study said that by basing the model on wild bird migration and distribution of potentially infected poultry they were able to produce a time line of the estimated risk of human infection with H7N9.

He said that the preliminary results of the study made a prediction of bird flu risk that could explain the pattern of the most recent cases.

He asserted that by extending the model they will be able to predict future infection risks across central and western China, which will aid in surveillance and control of H7N9 infections.

He added that since the effect of poultry-to-poultry infection is not really understood it may become necessary to regulate the activity of poultry markets.

A map of avian influenza (H7N9) risk has been published in Biomed Central's open access journal Infectious Diseases of Poverty.

Source: ANI
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