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Quantifying Population Burden and Effectiveness of Decentralized Surveillance Strategies for Skin-Presenting Neglected Tropical Diseases, Liberia

Supporting Files Public Domain
File Language:
English


Details

  • Alternative Title:
    Emerg Infect Dis
  • Personal Author:
    Timothy, Joseph W.S. ; Rogers, Emerson ; Halliday, Katherine E. ; Mulbah, Tarnue ; Marks, Michael ; Zaizay, Zeela ; Giddings, Romeo ; Kempf, Marie ; Marion, Estelle ; Walker, Stephen L. ; Kollie, Karsor K. ; Pullan, Rachel L.
  • Description:
    We evaluated programmatic approaches for skin neglected tropical disease (NTD) surveillance and completed a robust estimation of the burden of skin NTDs endemic to West Africa (Buruli ulcer, leprosy, lymphatic filariasis morbidity, and yaws). In Maryland, Liberia, exhaustive case finding by community health workers of 56,285 persons across 92 clusters identified 3,241 suspected cases. A total of 236 skin NTDs (34.0 95% CI 29.1-38.9/10,000 persons) were confirmed by midlevel healthcare workers trained using a tailored program. Cases showed a focal and spatially heterogeneous distribution. This community health worker‒led approach showed a higher skin NTD burden than prevailing surveillance mechanisms, but also showed high (95.1%) and equitable population coverage. Specialized training and task-shifting of diagnoses to midlevel health workers led to reliable identification of skin NTDs, but reliability of individual diagnoses varied. This multifaceted evaluation of skin NTD surveillance strategies quantifies benefits and limitations of key approaches promoted by the 2030 NTD roadmap of the World Health Organization.
  • Subjects:
  • Source:
    Emerg Infect Dis. 2022; 28(9):1755-1764
  • Pubmed ID:
    35997318
  • Pubmed Central ID:
    PMC9423900
  • Document Type:
    Journal Article
  • Place as Subject:
    Liberia
  • Volume:
    28
  • Issue:
    9
  • Download URL:
    https://stacks.cdc.gov/view/cdc/121027/cdc_121027_DS1.pdf
  • File Type:
    Filetype[PDF - 2.97 MB]
  • Collection(s):
    Emerging Infectious Diseases
  • Main Document Checksum:
    urn:sha256:88bb2cc138747e0a17472202b21caba026acf670679a85fc18d0542efaf4f306
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