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STS637 Reem I. M. E.

Project Key Features
avoid illness in the community. There is
coordination with Ministry of Health and some
hospitals of cancer treatment, such as (57357), or
National Cancer Institute to detail items of
cooperation with CAPMAS to apply this initiative.
- The aim of the project is to utilize data of
surveillance cameras to estimate the traffic
density on high ways, similar to the experience of
Big Data and Hungary, which helps to estimate the traffic
Transport statistics
movement across borders, in addition to using
data on vehicles to estimate the traffic movement.

Source: El-Deeb, Khaled (2016) “Using Big Data in Official Statistics”, Research paper
presented at “Workshop of Data Ecosystem for Sustainable Development”. Cairo: CAPMAS.

In 2014, the United Nations Statistical Commission established the United
Nations Global Working Group (GWG) on big data for official statistics to
develop and test the use of new data sources and new technologies. In this
regard, CAPMAS represents Egypt as a member of the Global Working Group-
on Big Data GWG, which held its first meeting in China in 2014, the second in
UAE in 2015, and the third in Ireland (Duplin) in 2016. The last conference
stressed on capacity building and using Big Data in an integrative way with
indicators of sustainable development.
GWG aims to reduce obstacles for developing countries in the use of big
data, such as satellite data, mobile phone data, scanner data, and social media
data.
According to Mobile phone data, it can help in determining where tourists
and migrants come from, how long they stay and where they go. This is
consistent with SDG indicators that help to monitor progress on target 8.9
(promote sustainable tourism which creates jobs, promotes local culture and
products) or target 10.7 (to facilitate orderly, safe, and responsible migration
and mobility of people).
Big data can also be used to create passenger patterns and traffic control
which related to indicator 9.1.2 (Passenger and freight volumes, by mode of
transport). The accuracy of information that can be obtained through the use
of mobile phone data is much higher than that obtained through traditional
surveys. The time lag from data collection to analysis can also be greatly
reduced.
According to Egypt, almost every person has a mobile phone and there is
an increasing number of people has mobile phones and access to the internet.
Also the overall prevalence rate of cell phones exceeded 110%, due to

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