Your browser doesn't support javascript.
loading
A modelling assessment of short- and medium-term risks of programme interruptions for gambiense human African trypanosomiasis in the DRC.
Huang, Ching-I; Crump, Ronald E; Crowley, Emily H; Hope, Andrew; Bessell, Paul R; Shampa, Chansy; Mwamba Miaka, Erick; Rock, Kat S.
Affiliation
  • Huang CI; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Crump RE; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Crowley EH; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Hope A; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Bessell PR; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Shampa C; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Mwamba Miaka E; Liverpool School of Tropical Medicine (LSTM), Liverpool, United Kingdom.
  • Rock KS; Independent Consultant, Edinburgh, United Kingdom.
PLoS Negl Trop Dis ; 17(4): e0011299, 2023 04.
Article in En | MEDLINE | ID: mdl-37115809
ABSTRACT
Gambiense human African trypanosomiasis (gHAT) is a deadly vector-borne, neglected tropical disease found in West and Central Africa targeted for elimination of transmission (EoT) by 2030. The recent pandemic has illustrated how it can be important to quantify the impact that unplanned disruption to programme activities may have in achieving EoT. We used a previously developed model of gHAT fitted to data from the Democratic Republic of the Congo, the country with the highest global case burden, to explore how interruptions to intervention activities, due to e.g. COVID-19, Ebola or political instability, could impact progress towards EoT and gHAT burden. We simulated transmission and reporting dynamics in 38 regions within Kwilu, Mai Ndombe and Kwango provinces under six interruption scenarios lasting for nine or twenty-one months. Included in the interruption scenarios are the cessation of active screening in all scenarios and a reduction in passive detection rates and a delay or suspension of vector control deployments in some scenarios. Our results indicate that, even under the most extreme 21-month interruption scenario, EoT is not predicted to be delayed by more than one additional year compared to the length of the interruption. If existing vector control deployments continue, we predict no delay in achieving EoT even when both active and passive screening activities are interrupted. If passive screening remains as functional as in 2019, we expect a marginal negative impact on transmission, however this depends on the strength of passive screening in each health zone. We predict a pronounced increase in additional gHAT disease burden (morbidity and mortality) in many health zones if both active and passive screening were interrupted compared to the interruption of active screening alone. The ability to continue existing vector control during medical activity interruption is also predicted to avert a moderate proportion of disease burden.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Trypanosomiasis, African / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Country/Region as subject: Africa Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2023 Type: Article Affiliation country: United kingdom

Full text: 1 Database: MEDLINE Main subject: Trypanosomiasis, African / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Country/Region as subject: Africa Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2023 Type: Article Affiliation country: United kingdom