Village-scale persistence and elimination of gambiense human African trypanosomiasis.

Gambiense human African trypanosomiasis (gHAT) is one of several neglected tropical diseases that is targeted for elimination by the World Health Organization. Recent years have seen a substantial decline in the number of globally reported cases, largely driven by an intensive process of screening a...

Full description

Saved in:
Bibliographic Details
Main Authors: Christopher N Davis (Author), Kat S Rock (Author), Erick Mwamba Miaka (Author), Matt J Keeling (Author)
Format: Book
Published: Public Library of Science (PLoS), 2019-10-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_4b47c6a6b49d46bb92cfb9e7d8b34626
042 |a dc 
100 1 0 |a Christopher N Davis  |e author 
700 1 0 |a Kat S Rock  |e author 
700 1 0 |a Erick Mwamba Miaka  |e author 
700 1 0 |a Matt J Keeling  |e author 
245 0 0 |a Village-scale persistence and elimination of gambiense human African trypanosomiasis. 
260 |b Public Library of Science (PLoS),   |c 2019-10-01T00:00:00Z. 
500 |a 1935-2727 
500 |a 1935-2735 
500 |a 10.1371/journal.pntd.0007838 
520 |a Gambiense human African trypanosomiasis (gHAT) is one of several neglected tropical diseases that is targeted for elimination by the World Health Organization. Recent years have seen a substantial decline in the number of globally reported cases, largely driven by an intensive process of screening and treatment. However, this infection is highly focal, continuing to persist at low prevalence even in small populations. Regional elimination, and ultimately global eradication, rests on understanding the dynamics and persistence of this infection at the local population scale. Here we develop a stochastic model of gHAT dynamics, which is underpinned by screening and reporting data from one of the highest gHAT incidence regions, Kwilu Province, in the Democratic Republic of Congo. We use this model to explore the persistence of gHAT in villages of different population sizes and subject to different patterns of screening. Our models demonstrate that infection is expected to persist for long periods even in relatively small isolated populations. We further use the model to assess the risk of recrudescence following local elimination and consider how failing to detect cases during active screening events informs the probability of elimination. These quantitative results provide insights for public health policy in the region, particularly highlighting the difficulties in achieving and measuring the 2030 elimination goal. 
546 |a EN 
690 |a Arctic medicine. Tropical medicine 
690 |a RC955-962 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n PLoS Neglected Tropical Diseases, Vol 13, Iss 10, p e0007838 (2019) 
787 0 |n https://doi.org/10.1371/journal.pntd.0007838 
787 0 |n https://doaj.org/toc/1935-2727 
787 0 |n https://doaj.org/toc/1935-2735 
856 4 1 |u https://doaj.org/article/4b47c6a6b49d46bb92cfb9e7d8b34626  |z Connect to this object online.