Visualization of human mobility in Pakistan, aggregated over 7 months. Locations of the three largest outbreaks are marked. The study, Impacts of human mobility on the emergence of dengue epidemics in Pakistan , analysed anonymized call data records from more than 30 million Telenor Pakistan subscribers during the 2013 dengue outbreak, using the large sample to accurately map the geographic spread and timing of the epidemic. The data was aggregated and anonymized within Pakistan. The resulting model contributes to the design of more effective national response mechanisms in Pakistan and other at-risk nations, while demonstrating the potential for call records to accurately reveal mobility patterns that can help combat and predict the spread of virulent disease.
The Threat Dengue is the fastest-spreading tropical disease in the world, with half the global population now living in at-risk regions including Asia, the Americas, and Africa, notes co-author and Senior Data Scientist at Telenor Research, Dr. Kenth Eng -Monsen, who leads Telenor Research's Data Driven Development initiative.
At the same time, public health professionals, data scientists, and mobile operators working together wield important weapons to combat the spread of the disease, including using Big Data to stay a step ahead of an epidemic. In this case a very large mobile data set gave us a bird's eye view of the human movement that drives transmission, and will help health authorities in at-risk areas put adequate countermeasures in place in anticipation of an outbreak. This is especially important as we see increasing transnational movement of people and the consequent global spread of dengue.
The dengue carrier mosquito species Aedes aegypti thrives in urban and semi-urban environments and transmits the virus between humans. Dengue can cause fever, shock, severe bleeding and death, particularly in the young and the elderly, the most vulnerable among us. This is especially true in regions without adequate treatment facilities, added Dr. Eng -Monsen.
There is currently no cure, or vaccine against, dengue infection, notes Dr. Eng -Monsen.
The Response Current dengue countermeasures generally focus on control of the carrier species A. aegypti, although these measures are often logistically difficult and vary in efficacy; they also do little to counter large-scale outbreaks once they are underway.
In the absence of effective prevention and treatment, public health system preparedness remains the single most important tool for minimizing outbreaks and preventing mortality. Of paramount importance is optimizing the transmission forecasting capability of health authorities.
The research team found that mobile phone-based mobility estimates accurately predicted the geographic spread and timing of epidemics in both recently epidemic and emerging locations. The study combined the data with dengue climate-suitability maps and estimates of seasonal dengue virus importation to generate fine-scale risk maps.
The maps and tools we have created have direct application to future dengue containment and epidemic preparedness and can also be applied to other infectious diseases, observed Dr. Eng -Monsen. We look forward to working further with public health authorities in Pakistan and elsewhere to deploy them in the prevention and control of future epidemics.
Dr. Caroline Buckee, assistant professor of epidemiology, Harvard University and the study's senior author, said: Accurate predictive models identifying changing vulnerability to dengue outbreaks are necessary for epidemic preparedness and containment of the virus. Because mobile phone data are continuously being collected, they could be used to help national control programs plan in near real time.
The Impact Telenor Group's ambition is to contribute to finding sustainable long-term solutions to social challenges, creating shared value for society and the company. This study shows that through pooling our expertise with that of our partners we can contribute to making potentially life-saving impact, says Mai Oldgard, Senior Vice President and Head of Sustainability in Telenor Group. The insights and models from the study can now be applied to further countries and diseases.
Michael Patrick Foley, CEO of Telenor Pakistan added that, Telenor Pakistan is extremely proud to have cooperated with Telenor Research and the Harvard T.H. Chan School of Public Health on this vital contribution to the fight against dengue, the fastest-growing tropical disease and now a leading cause of death among children in some Asian countries. Telenor feels a strong responsibility to make a contribution to the global effort to eradicate the virus and hope that this study can contribute to real action in Pakistan and beyond.
The study is co-authored by Amy Wesolowski, Taimur Qureshi, Maciej F. Bonid, P l Roe Sunds y, Michael A. Johansson, Syed Basit Rasheed, Kenth Eng -Monsen, and Caroline O. Buckee, and has recently been published in the Proceedings of the National Academy of Sciences (PNAS), the journal of the U.S. National Academy of Sciences.
To view the corresponding announcement from Harvard University, please visit:
http://www.hsph.harvard.edu/news/press-releases/
About Telenor Research Telenor Research is Telenor's corporate unit for research. The unit conducts research and delivers research based advice on topics such as digital services, Big Data, Internet and network technology, competitive strategy, and customer experience.
About Telenor Group Telenor Group is an international provider of tele, data and media communication services. Telenor Group has mobile operations in 13 markets in the Nordic region, Central and Eastern Europe and in Asia, as well as an economic stake of 33 per cent in VimpelCom Ltd., operating in 14 markets. Headquartered in N
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Visualization of human mobility in Pakistan, aggregated over 7 months. Locations of the three largest outbreaks are marked. The study, Impacts of human mobility on the emergence of dengue epidemics in Pakistan , analysed anonymized call data records from more than 30 million Telenor Pakistan subscribers during the 2013 dengue outbreak, using the large sample to accurately map the geographic spread and timing of the epidemic. The data was aggregated and anonymized within Pakistan. The resulting model contributes to the design of more effective national response mechanisms in Pakistan and other at-risk nations, while demonstrating the potential for call records to accurately reveal mobility patterns that can help combat and predict the spread of virulent disease.
