Difference between revisions of "Telecom Data"
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population movements with mobile phone network data: a post-earthquake geospatial | population movements with mobile phone network data: a post-earthquake geospatial | ||
study in Haiti”. PLoS Med 8.8, e1001083. | study in Haiti”. PLoS Med 8.8, e1001083. | ||
Blumenstock, Joshua E (2012). “Inferring patterns of internal migration from mobile phone | Blumenstock, Joshua E (2012). “Inferring patterns of internal migration from mobile phone | ||
call records: Evidence from Rwanda”. Information Technology for Development 18.2, | call records: Evidence from Rwanda”. Information Technology for Development 18.2, | ||
pp. 107–125. | pp. 107–125. | ||
Erbach-Schoenberg, Elisabeth zu et al. (2016). “Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates”. Population health | Erbach-Schoenberg, Elisabeth zu et al. (2016). “Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates”. Population health | ||
metrics 14.1, p. 35. | metrics 14.1, p. 35. | ||
Tatem, Andrew J et al. (2014). “Integrating rapid risk mapping and mobile phone call record | Tatem, Andrew J et al. (2014). “Integrating rapid risk mapping and mobile phone call record | ||
data for strategic malaria elimination planning”. Malaria journal 13.1, p. 52. | data for strategic malaria elimination planning”. Malaria journal 13.1, p. 52. | ||
Wesolowski, Amy et al. (2012). “Quantifying the impact of human mobility on malaria”. | Wesolowski, Amy et al. (2012). “Quantifying the impact of human mobility on malaria”. | ||
Science 338.6104, pp. 267–270. | Science 338.6104, pp. 267–270. | ||
Wesolowski, Amy et al. (2013). “The use of census migration data to approximate human | Wesolowski, Amy et al. (2013). “The use of census migration data to approximate human | ||
movement patterns across temporal scales”. PloS one 8.1, e52971. | movement patterns across temporal scales”. PloS one 8.1, e52971. | ||
Wesolowski, Amy et al. (2015a). “Impact of human mobility on the emergence of dengue epidemics | |||
in Pakistan”. Proceedings of the National Academy of Sciences 112.38, pp. | Wesolowski, Amy et al. (2015a). “Impact of human mobility on the emergence of dengue epidemics in Pakistan”. Proceedings of the National Academy of Sciences 112.38, pp. 11887–11892. | ||
Wesolowski, Amy et al. (2015b). “Quantifying seasonal population fluxes driving rubella | Wesolowski, Amy et al. (2015b). “Quantifying seasonal population fluxes driving rubella | ||
transmission dynamics using mobile phone data”. Proceedings of the National Academy | transmission dynamics using mobile phone data”. Proceedings of the National Academy | ||
of Sciences 112.35, pp. 11114–11119. | of Sciences 112.35, pp. 11114–11119. | ||
Revision as of 19:16, 14 November 2017
Read First
- include here key points you want to make sure all readers understand
Basics
What is Telecom Data?
How is Telecom Data Used?
Research using telecom data has been growing tremendously in recent years. There are lots of areas of research that this data has been used in. These include:
Health
Studying the relationship between population mobility and spread of disease using mobile phone data (Erbach-Schoenberg et al 2016, Tatel et al 2014, Wesolowski 2012, Wesolowski 2015a, Wesolowski 2015b)
Mobility
Using mobile phone data to study patterns of internal migration (Blumenstock 2012, Wesolowski 2013) and studying mobility to improve disaster response (Bengtsson et al 2011)
Poverty Mapping
What are Things to Consider?
Back to Parent
This article is part of the topic Data Sources
Additional Resources
Bengtsson, Linus et al. (2011). “Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti”. PLoS Med 8.8, e1001083.
Blumenstock, Joshua E (2012). “Inferring patterns of internal migration from mobile phone call records: Evidence from Rwanda”. Information Technology for Development 18.2, pp. 107–125.
Erbach-Schoenberg, Elisabeth zu et al. (2016). “Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates”. Population health metrics 14.1, p. 35.
Tatem, Andrew J et al. (2014). “Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning”. Malaria journal 13.1, p. 52.
Wesolowski, Amy et al. (2012). “Quantifying the impact of human mobility on malaria”. Science 338.6104, pp. 267–270.
Wesolowski, Amy et al. (2013). “The use of census migration data to approximate human movement patterns across temporal scales”. PloS one 8.1, e52971.
Wesolowski, Amy et al. (2015a). “Impact of human mobility on the emergence of dengue epidemics in Pakistan”. Proceedings of the National Academy of Sciences 112.38, pp. 11887–11892.
Wesolowski, Amy et al. (2015b). “Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data”. Proceedings of the National Academy of Sciences 112.35, pp. 11114–11119.