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Assessing the impact of aggregating disease stage data in model predictions of human African trypano...

Assessing the impact of aggregating disease stage data in model predictions of human African trypano...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2460983151

Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC)

About this item

Full title

Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC)

Publisher

United States: Public Library of Science

Journal title

PLoS neglected tropical diseases, 2020-01, Vol.14 (1), p.e0007976-e0007976

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Since the turn of the century, the global community has made great progress towards the elimination of gambiense human African trypanosomiasis (HAT). Elimination programs, primarily relying on screening and treatment campaigns, have also created a rich database of HAT epidemiology. Mathematical models calibrated with these data can help to fill rem...

Alternative Titles

Full title

Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2460983151

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2460983151

Other Identifiers

ISSN

1935-2735,1935-2727

E-ISSN

1935-2735

DOI

10.1371/journal.pntd.0007976

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