Measuring Timeliness of Outbreak Response in the World Health Organization African Region, 2017–2019

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Impouma, Benido ; Roelens, Maroussia ; Williams, George Sie ; Flahault, Antoine ; Codeço, Claudia Torres ; Moussana, Fleury ; Farham, Bridget ; Hamblion, Esther L. ; Mboussou, Franck ; Keiser, Olivia
• Description:
  Large-scale protracted outbreaks can be prevented through early detection, notification, and rapid control. We assessed trends in timeliness of detecting and responding to outbreaks in the African Region reported to the World Health Organization during 2017-2019. We computed the median time to each outbreak milestone and assessed the rates of change over time using univariable and multivariable Cox proportional hazard regression analyses. We selected 296 outbreaks from 348 public reported health events and evaluated 184 for time to detection, 232 for time to notification, and 201 for time to end. Time to detection and end decreased over time, whereas time to notification increased. Multiple factors can account for these findings, including scaling up support to member states after the World Health Organization established its Health Emergencies Programme and support given to countries from donors and partners to strengthen their core capacities for meeting International Health Regulations.
• Subjects:
  Disease Outbreaks Global Health Humans Population Surveillance Public Health Time Factors
• Source:
  Emerg Infect Dis. 26(11):2555-2564
• Pubmed ID:
  33079032
• Pubmed Central ID:
  PMC7588517
• Document Type:
  Journal Article
• Name as Subject:
  World Health Organization
• Place as Subject:
  Africa
• Volume:
  26
• Issue:
  11
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:c4fba2f8c42f3038d98f7de65fe2e5efadc3d0a4c0dfe612f4fb1b7219b99419
• Download URL:
  https://stacks.cdc.gov/view/cdc/96381/cdc_96381_DS1.pdf
• File Type:
  [PDF - 2.49 MB ]