| scholarly article | Q13442814 |
| P50 | author | Andrew J. Tatem | Q29397317 |
| Kenth Engø-Monsen | Q47158540 | ||
| Derek Cummings | Q60057514 | ||
| Amy Winter | Q60655223 | ||
| Amy Wesolowski | Q69513707 | ||
| C Jessica E Metcalf | Q88514715 | ||
| Caroline Buckee | Q91546354 | ||
| P2093 | author name string | Taimur Qureshi | |
| P2860 | cites work | A measles epidemic threshold in a highly vaccinated population | Q24812066 |
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | Pakistan | Q843 |
| measles | Q79793 | ||
| infectious disease | Q18123741 | ||
| P1104 | number of pages | 9 | |
| P304 | page(s) | 1575-1583 | |
| P577 | publication date | 2018-09-01 | |
| P1433 | published in | Epidemiology and Infection | Q5382708 |
| P1476 | title | Measles outbreak risk in Pakistan: exploring the potential of combining vaccination coverage and incidence data with novel data-streams to strengthen control | |
| P478 | volume | 146 |
| Q92350923 | Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine |
| Q100395018 | The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology |
| Q91580166 | Using models to shape measles control and elimination strategies in low- and middle-income countries: A review of recent applications |
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