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Community-based testing of migrants for infectious diseases (COMBAT-ID): impact, acceptability and cost-effectiveness of identifying infectious diseases among migrants in primary care: protocol for an interrupted time-series, qualitative and health economic analysis.

Manish PareekHelen C EborallFatimah WobiKate S EllisEvangelos KontopantelisFang ZhangRebecca BaggaleyT Deirdre HollingsworthDarrin BainesHemu PatelPranabashis HaldarMayur PatelIain StephensonIvan BrowneParamjit GillRajesh KapurAzhar FarooqiIbrahim AbubakarChristopher J Griffiths
Published in: BMJ open (2019)
The study has received HRA and NHS approvals for both the interrupted time-series analysis (16/SC/0127) and the qualitative sub-study (16/EM/0159). For the interrupted time-series analysis we will only use fully anonymised data. For the qualitative sub-study, we will gain written, informed, consent. Dissemination of the results will be through local and national meetings/conferences as well as publications in peer-reviewed journals.
Keyphrases
  • infectious diseases
  • primary care
  • healthcare
  • systematic review
  • randomized controlled trial
  • mental health
  • machine learning
  • climate change