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    <title>Study investigating the clinical manifestations of Rift Valley fever in humans: Systematic review and meta-analysis</title>
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      <item>Medical Research Council</item>
      <item>European Commission</item>
      <item>Oak Foundation Fellowship</item>
      <item>Wellcome Trust</item>
      <item>Department for International Development, UK Government</item>
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    <projects>
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      <item>Systematic review study protocol investigating the clinical manifestations and long-term complications of Rift Valley fever in humans</item>
      <item>Systematic review study protocol investigating the clinical manifestations and long-term complications of Rift Valley fever in humans</item>
      <item>Systematic review study protocol investigating the clinical manifestations and long-term complications of Rift Valley fever in humans</item>
      <item>Systematic review study protocol investigating the clinical manifestations and long-term complications of Rift Valley fever in humans</item>
      <item>Systematic review study protocol investigating the clinical manifestations and long-term complications of Rift Valley fever in humans</item>
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    <collection_method>Electronic bibliographic databases including Medline/PubMed, Embase, Global Health and Web of Science were searched to identify relevant studies. Two people independently reviewed the abstracts of relevant papers to determine study eligibility and selected the articles for full text review and data extraction. All records from the search and selection process were captured directly into a systematic review flow schema. Data from eligible studies was extracted into two excel sheets. The two reviewers that assessed eligibility were the same persons that extracted the records from the papers. Discrepant entries between the two reviewers were resolved through discussions which were held face to face, by telephone, skype or email and the final agreed records were summarised on the excel sheets. Where two or more manuscripts report data from the same study, these were considered as one study and data was extracted on clinical manifestations that do not duplicate. The number of articles obtained through searching, number selected and number from which data was extracted was recorded and presented in a flow diagram. The studies from which data was extracted were identified by the first author’s surname. Data from the excel sheets was imported into stata analysis software. Where two or more studies were available for a particular clinical manifestation, pooled proportions of patients were presented with the parameter and their 95% confidence intervals estimated using random effects models. Sensitivity analysis was done to check the effect of study quality and study design on the pooled proportion. Forest plots were drawn where two or more studies reported a particular clinical manifestation and these were summarised by patient source.</collection_method>
    <grant>16/107/02</grant>
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        <title>Clinical manifestations of Rift Valley fever in humans: Systematic review and meta-analysis.</title>
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