scholarly journals Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Andrew J Tatem ◽  
Zhuojie Huang ◽  
Clothilde Narib ◽  
Udayan Kumar ◽  
Deepika Kandula ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Malaria Elimination ◽  
Risk Mapping ◽  
Phone Call ◽  
Record Data

Travel mode recognition of urban residents using mobile phone data and MapAPI

2021 ◽  
pp. 239980832098300
Author(s):  
Zhenghong Peng ◽  
Guikai Bai ◽  
Hao Wu ◽  
Lingbo Liu ◽  
Yang Yu
Keyword(s):  
Urban Planning ◽  
Mobile Phone ◽  
Traffic Flow ◽  
Road Traffic ◽  
Urban Traffic ◽  
Phone Call ◽  
Traffic Information ◽  
Mobile Phone Data ◽  
Urban Residents ◽  
Travel Mode

Obtaining the time and space features of the travel of urban residents can facilitate urban traffic optimization and urban planning. As traditional methods often have limited sample coverage and lack timeliness, the application of big data such as mobile phone data in urban studies makes it possible to rapidly acquire the features of residents’ travel. However, few studies have attempted to use them to recognize the travel modes of residents. Based on mobile phone call detail records and the Web MapAPI, the present study proposes a method to recognize the travel mode of urban residents. The main processes include: (a) using DBSCAN clustering to analyze each user’s important location points and identify their main travel trajectories; (b) using an online map API to analyze user’s means of travel; (c) comparing the two to recognize the travel mode of residents. Applying this method in a GIS platform can further help obtain the traffic flow of various means, such as walking, driving, and public transit, on different roads during peak hours on weekdays. Results are cross-checked with other data sources and are proven effective. Besides recognizing travel modes of residents, the proposed method can also be applied for studies such as travel costs, housing–job balance, and road traffic pressure. The study acquires about 6 million residents’ travel modes, working place and residence information, and analyzes the means of travel and traffic flow in the commuting of 3 million residents using the proposed method. The findings not only provide new ideas for the collection and application of urban traffic information, but also provide data support for urban planning and traffic management.

scholarly journals Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review

2018 ◽  
Vol 6 (7) ◽  
pp. e161 ◽  
Author(s):  
Kerina Helen Jones ◽  
Helen Daniels ◽  
Sharon Heys ◽  
David Vincent Ford
Keyword(s):  
Mobile Phone ◽  
Health Research ◽  
Phone Call ◽  
Research Review ◽  
Call Detail Records

scholarly journals Can clinical vignettes administered by mobile phone call be used to measure quality of contraceptive care practices in Malawi?

2021 ◽  
Author(s):  
Elizabeth Hazel ◽  
Diwakar Mohan ◽  
Joanne Katz ◽  
Ephraim Chirwa ◽  
Patrick Msukwa ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Phone Call ◽  
Clinical Vignettes ◽  
Care Practices

Mobile Phone Communication Innovation in Multiple Time and Space Zones

2011 ◽  
pp. 479-484
Author(s):  
Shirley Chan
Keyword(s):  
Hong Kong ◽  
Mobile Phone ◽  
Phone Call ◽  
Multiple Time ◽  
Public Places ◽  
The World ◽  
Fast Pace ◽  
Paradox Theory ◽  
Deal Making ◽  
Mobile Phone Communication

In most parts of the world, it is generally considered impolite or even rude to pick up an incoming mobile phone call and to have a longer (and loud) conversation in public places. Yet this type of interruption is generally acceptable in Hong Kong. This inspired the authors to ask: How does Hong Kong culture impact the perception of mobile phone interruption? This research note is about an ethnographical study on the culture in Hong Kong indicating a more positive perception towards mobile phone interruption. Their research results show that the cultural characteristics of fast pace, deal-making and sense of urgency explain why Hong Kong people are receptive towards such interruption and have the habit of participating in both the physical and mobile spaces at the same time. Their findings also challenge the engaging-disengaging paradox theory - that is, mobile phone users find it difficult to simultaneously engage in parallel activities

scholarly journals Effects of a Phone Call Intervention to Promote Adherence to Antiretroviral Therapy and Quality of Life of HIV/AIDS Patients in Baoshan, China: A Randomized Controlled Trial

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Dongsheng Huang ◽  
Rassamee Sangthong ◽  
Edward McNeil ◽  
Virasakdi Chongsuvivatwong ◽  
Weibin Zheng ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Randomized Controlled Trial ◽  
Antiretroviral Therapy ◽  
Mobile Phone ◽  
Controlled Trial ◽  
Phone Call ◽  
Aids Patients ◽  
Randomized Controlled ◽  
Treatment Naïve

Background. Suboptimal adherence to antiretroviral therapy (ART) is still pervasive. The effect of using a mobile phone call intervention to improve patient adherence is currently not known.Objective. This study aims to investigate the effects of a phone call intervention on adherence to ART and quality of life (QOL) of treatment-naive and treatment-experienced patients.Methods. A randomized controlled trial was conducted in the three largest public hospitals. Adherence was measured by self-completed questionnaires. QOL was assessed by the WHOQOL-HIV BREF. Outcomes were assessed at day 15, at 1, 2, and 3 months after start of treatment for treatment-naive patients and at 3 months after study enrollment for treatment-experienced patients.Results. A total of 103 treatment-naive and 93 treatment-experienced HIV/AIDS patients were consecutively recruited. Results show that a phone call intervention could maintain high self-reported adherence among both treatment-naive and treatment-experienced patients. After three months, significant QOL improvements were observed in domains of physical health(P=0.003), level of independence(P=0.018), environment(P=0.002), and spirituality/religion/personal beliefs(P=0.021)among treatment-naive patients.Conclusion. A mobile phone call intervention to patients could maintain high adherence rates although no statistically significant differences were found. A phone call could improve some domains of QOL among treatment-naive patients.

Mobile phone exposure influences some erythrocytes parameters in vitro. A novel source of preanalytical variability?

Diagnosis ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 75-79
Author(s):  
Elisa Danese ◽  
Giuseppe Lippi ◽  
Giorgio Brocco ◽  
Martina Montagnana ◽  
Gian Luca Salvagno
Keyword(s):  
Mobile Phone ◽  
Whole Blood ◽  
Hemoglobin Concentration ◽  
Phone Call ◽  
Mean Corpuscular Hemoglobin ◽  
Corpuscular Hemoglobin ◽  
Distribution Width ◽  
Preanalytical Variability ◽  
Rbc Count

AbstractThe effect of radiofrequency exposure on human health and health care equipment is a matter of ongoing debate. This study was planned to investigate the influence of radiofrequency (RF) waves emitted by a commercial mobile phone on red blood cells (RBC) in vitro.The study population consisted of 16 ostensibly healthy volunteers. Two whole blood specimens were collected from each volunteer. One sample was placed in a plastic rack, 1 cm distant from the chassis of a commercial mobile phone which was activated by a remote phone call lasting 30 min. The other blood sample was placed in another plastic rack, but was kept distant from any type of RF source. The main RBC parameters including RBC count, hematocrit (Ht), hemoglobin, mean corpuscular platelet volume (MPV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and RBC distribution width (RDW-CV) were assessed with an Advia 2120.The exposure of whole blood to the mobile phone call significantly increased Ht, hemoglobin, MCV and MCH, whereas the RBC count, MCHC and RDW-CV remained unchanged. A significant correlation was observed between variation of Ht and those of hemoglobin (p=0.008), MCV (p=0.009) or MCH (p=0.037), as well as between hemoglobin and MCV (p=0.048). Increased values were found in 13/16 (81%) samples for both Ht and hemoglobin, 14/16 (88%) samples for MCH and 16/16 (100%) samples for MCV.These results suggest that close mobile phone exposure may be an unappreciated and possibly underestimated cause of preanalytical bias in RBC testing.

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