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Methods for measuring short-term geographical mobility used in infectious disease research: a scoping review protocol
7 references·0 citing·27 second hop
Methods for measuring short-term geographical mobility used in infectious disease research: a scoping review protocol (2023)Methods for measuring short-term geograph…Mapping county-level mobility pattern changes in the United States in response to COVID-19 (2020)Mapping county-level mobility…Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)Systematic review or scoping …PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)PRISMA Extension for Scoping …Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data (2015)Quantifying seasonal populati…International Organization for Migration (2014)International Organization fo…Scoping studies: towards a methodological framework (2005)Scoping studies: towards a me…Prevalence of HIV Among Truck Drivers Visiting Sex Workers in KwaZulu-Natal, South Africa (2002)Prevalence of HIV Among Truck…Understanding individual human mobility patterns (2008)The impact of biases in mobile phone ownership on estimates of human mobility (2013)Quantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phones (2014)Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics (2017)Computational socioeconomics (2019)Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis (2020)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Scoping studies: advancing the methodology (2010)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Updated methodological guidance for the conduct of scoping reviews (2020)Updated methodological guidance for the conduct of scoping reviews (2021)Recommendations for the extraction, analysis, and presentation of results in scoping reviews (2022)Aggregated mobility data could help fight COVID-19 (2020)COVID-19: Challenges to GIS with Big Data (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform (2021)The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the U.S. from March to September of 2020 (2021)Systematic review of facility-based sexual and reproductive health services for female sex workers in Africa (2014)A healthcare facility location problem for a multi-disease, multi-service environment under risk aversion (2019)The Roadside Healthcare Facility Location Problem A Managerial Network Design Challenge (2020)Migration and health in Canada: health in the global village (2010)Diaspora for Development in Africa (2011)Privileged Mobility in an Age of Globality (2012)
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References

  • 2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation43,318 cited
  • 2005Scoping studies: towards a methodological framework36,603 cited
  • 2018Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach11,351 cited
  • 2014International Organization for Migration1,500 cited
  • 2020Mapping county-level mobility pattern changes in the United States in response to COVID-19226 cited
  • 2002Prevalence of HIV Among Truck Drivers Visiting Sex Workers in KwaZulu-Natal, South Africa176 cited
  • 2015Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data137 cited

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