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The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach

Domestic and wild animals are important reservoirs of the rhodesiense form of human African trypanosomiasis (rHAT), however quantification of this effect offers utility for deploying non-medical control activities, and anticipating their success when wildlife are excluded. Further, the uncertain rol...

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Autores principales: Meisner, Julianne, Kato, Agapitus, Lemerani, Marshal Msanyama, Mwamba Miaka, Erick, Ismail Taban, Acaga, Wakefield, Jonathan, Rowhani-Rahbar, Ali, Pigott, David M., Mayer, Jonathan D., Rabinowitz, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462671/
https://www.ncbi.nlm.nih.gov/pubmed/36037205
http://dx.doi.org/10.1371/journal.pntd.0010155
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author Meisner, Julianne
Kato, Agapitus
Lemerani, Marshal Msanyama
Mwamba Miaka, Erick
Ismail Taban, Acaga
Wakefield, Jonathan
Rowhani-Rahbar, Ali
Pigott, David M.
Mayer, Jonathan D.
Rabinowitz, Peter M.
author_facet Meisner, Julianne
Kato, Agapitus
Lemerani, Marshal Msanyama
Mwamba Miaka, Erick
Ismail Taban, Acaga
Wakefield, Jonathan
Rowhani-Rahbar, Ali
Pigott, David M.
Mayer, Jonathan D.
Rabinowitz, Peter M.
author_sort Meisner, Julianne
collection PubMed
description Domestic and wild animals are important reservoirs of the rhodesiense form of human African trypanosomiasis (rHAT), however quantification of this effect offers utility for deploying non-medical control activities, and anticipating their success when wildlife are excluded. Further, the uncertain role of animal reservoirs—particularly pigs—threatens elimination of transmission (EOT) targets set for the gambiense form (gHAT). Using a new time series of high-resolution cattle and pig density maps, HAT surveillance data collated by the WHO Atlas of HAT, and methods drawn from causal inference and spatial epidemiology, we conducted a retrospective ecological cohort study in Uganda, Malawi, Democratic Republic of the Congo (DRC) and South Sudan to estimate the effect of cattle and pig density on HAT risk. For rHAT, we found a positive effect for cattle (RR 1.61, 95% CI 0.90, 2.99) and pigs (RR 2.07, 95% CI 1.15, 2.75) in Uganda, and a negative effect for cattle (RR 0.88, 95% CI 0.71, 1.10) and pigs (RR 0.42, 95% CI 0.23, 0.67) in Malawi. For gHAT we found a negative effect for cattle in Uganda (RR 0.88, 95% CI 0.50, 1.77) and South Sudan (RR 0.63, 95% CI 0.54, 0.77) but a positive effect in DRC (1.17, 95% CI 1.04, 1.32). For pigs, we found a positive gHAT effect in both Uganda (RR 2.02, 95% CI 0.87, 3.94) and DRC (RR 1.23, 95% CI 1.10, 1.37), and a negative association in South Sudan (RR 0.66, 95% CI 0.50, 0.98). These effects did not reach significance for the cattle-rHAT effect in Uganda or Malawi, or the cattle-gHAT and pig-gHAT effects in Uganda. While ecological bias may drive the findings in South Sudan, estimated E-values and simulation studies suggest unmeasured confounding and underreporting are unlikely to explain our findings in Malawi, Uganda, and DRC. Our results suggest cattle and pigs may be important reservoirs of rHAT in Uganda but not Malawi, and that pigs—and possibly cattle—may be gHAT reservoirs.
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spelling pubmed-94626712022-09-10 The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach Meisner, Julianne Kato, Agapitus Lemerani, Marshal Msanyama Mwamba Miaka, Erick Ismail Taban, Acaga Wakefield, Jonathan Rowhani-Rahbar, Ali Pigott, David M. Mayer, Jonathan D. Rabinowitz, Peter M. PLoS Negl Trop Dis Research Article Domestic and wild animals are important reservoirs of the rhodesiense form of human African trypanosomiasis (rHAT), however quantification of this effect offers utility for deploying non-medical control activities, and anticipating their success when wildlife are excluded. Further, the uncertain role of animal reservoirs—particularly pigs—threatens elimination of transmission (EOT) targets set for the gambiense form (gHAT). Using a new time series of high-resolution cattle and pig density maps, HAT surveillance data collated by the WHO Atlas of HAT, and methods drawn from causal inference and spatial epidemiology, we conducted a retrospective ecological cohort study in Uganda, Malawi, Democratic Republic of the Congo (DRC) and South Sudan to estimate the effect of cattle and pig density on HAT risk. For rHAT, we found a positive effect for cattle (RR 1.61, 95% CI 0.90, 2.99) and pigs (RR 2.07, 95% CI 1.15, 2.75) in Uganda, and a negative effect for cattle (RR 0.88, 95% CI 0.71, 1.10) and pigs (RR 0.42, 95% CI 0.23, 0.67) in Malawi. For gHAT we found a negative effect for cattle in Uganda (RR 0.88, 95% CI 0.50, 1.77) and South Sudan (RR 0.63, 95% CI 0.54, 0.77) but a positive effect in DRC (1.17, 95% CI 1.04, 1.32). For pigs, we found a positive gHAT effect in both Uganda (RR 2.02, 95% CI 0.87, 3.94) and DRC (RR 1.23, 95% CI 1.10, 1.37), and a negative association in South Sudan (RR 0.66, 95% CI 0.50, 0.98). These effects did not reach significance for the cattle-rHAT effect in Uganda or Malawi, or the cattle-gHAT and pig-gHAT effects in Uganda. While ecological bias may drive the findings in South Sudan, estimated E-values and simulation studies suggest unmeasured confounding and underreporting are unlikely to explain our findings in Malawi, Uganda, and DRC. Our results suggest cattle and pigs may be important reservoirs of rHAT in Uganda but not Malawi, and that pigs—and possibly cattle—may be gHAT reservoirs. Public Library of Science 2022-08-29 /pmc/articles/PMC9462671/ /pubmed/36037205 http://dx.doi.org/10.1371/journal.pntd.0010155 Text en © 2022 Meisner et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Meisner, Julianne
Kato, Agapitus
Lemerani, Marshal Msanyama
Mwamba Miaka, Erick
Ismail Taban, Acaga
Wakefield, Jonathan
Rowhani-Rahbar, Ali
Pigott, David M.
Mayer, Jonathan D.
Rabinowitz, Peter M.
The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach
title The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach
title_full The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach
title_fullStr The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach
title_full_unstemmed The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach
title_short The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach
title_sort effect of livestock density on trypanosoma brucei gambiense and t. b. rhodesiense: a causal inference-based approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462671/
https://www.ncbi.nlm.nih.gov/pubmed/36037205
http://dx.doi.org/10.1371/journal.pntd.0010155
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