Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination

• Edwin Michael ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Writing – original draft

  * E-mail: Edwin.Michael.18@nd.edu

  Affiliation Department of Biological Sciences, University of Notre Dame, Notre Dame, South Bend, IN, United States of America

  http://orcid.org/0000-0002-9473-4245

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• Swarnali Sharma,

  Roles Formal analysis, Investigation, Methodology, Writing – original draft

  Affiliation Department of Biological Sciences, University of Notre Dame, Notre Dame, South Bend, IN, United States of America

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• Morgan E. Smith,

  Roles Formal analysis, Investigation, Methodology, Writing – original draft

  Affiliation Department of Biological Sciences, University of Notre Dame, Notre Dame, South Bend, IN, United States of America

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• Panayiota Touloupou,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Statistics, University of Warwick, Coventry, United Kingdom

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• Federica Giardina,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands

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• Joaquin M. Prada,

  Roles Investigation, Writing – review & editing

  Affiliation Faculty of Health & Medical Sciences, University of Surrey, Guildford, United Kingdom

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• Wilma A. Stolk,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands

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• Deirdre Hollingsworth,

  Roles Writing – review & editing

  Affiliation Big Data Institute, University of Oxford, Oxford, United Kingdom

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• Sake J. de Vlas

  Roles Writing – review & editing

  Affiliation Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands

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