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...

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Main Authors: Christopher N Davis, Kat S Rock, Erick Mwamba Miaka, Matt J Keeling
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-10-01
Series:PLoS Neglected Tropical Diseases
Online Access:https://doi.org/10.1371/journal.pntd.0007838
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spelling doaj-4b47c6a6b49d46bb92cfb9e7d8b346262021-04-21T23:52:05ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352019-10-011310e000783810.1371/journal.pntd.0007838Village-scale persistence and elimination of gambiense human African trypanosomiasis.Christopher N DavisKat S RockErick Mwamba MiakaMatt J KeelingGambiense 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.https://doi.org/10.1371/journal.pntd.0007838
collection DOAJ
language English
format Article
sources DOAJ
author Christopher N Davis
Kat S Rock
Erick Mwamba Miaka
Matt J Keeling
spellingShingle Christopher N Davis
Kat S Rock
Erick Mwamba Miaka
Matt J Keeling
Village-scale persistence and elimination of gambiense human African trypanosomiasis.
PLoS Neglected Tropical Diseases
author_facet Christopher N Davis
Kat S Rock
Erick Mwamba Miaka
Matt J Keeling
author_sort Christopher N Davis
title Village-scale persistence and elimination of gambiense human African trypanosomiasis.
title_short Village-scale persistence and elimination of gambiense human African trypanosomiasis.
title_full Village-scale persistence and elimination of gambiense human African trypanosomiasis.
title_fullStr Village-scale persistence and elimination of gambiense human African trypanosomiasis.
title_full_unstemmed Village-scale persistence and elimination of gambiense human African trypanosomiasis.
title_sort village-scale persistence and elimination of gambiense human african trypanosomiasis.
publisher Public Library of Science (PLoS)
series PLoS Neglected Tropical Diseases
issn 1935-2727
1935-2735
publishDate 2019-10-01
description 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.
url https://doi.org/10.1371/journal.pntd.0007838
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