Cargando…

Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018

Visceral leishmaniasis (VL) is the second most common protozoosis that affects people around the world. The aim of this study is to understand how environmental and socioeconomic factors, as well as VL control and surveillance interventions, influence the spread and detection of VL cases in Pernambu...

Descripción completa

Detalles Bibliográficos
Autores principales: Machado, Carolina Angélica Libório, Valle, Denis, Horta, Mauricio Claudio, Meiga, Ana Yoko Ykeuti, Sevá, Anaiá da Paixão
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983839/
https://www.ncbi.nlm.nih.gov/pubmed/36753511
http://dx.doi.org/10.1371/journal.pntd.0011108
_version_ 1784900625246453760
author Machado, Carolina Angélica Libório
Valle, Denis
Horta, Mauricio Claudio
Meiga, Ana Yoko Ykeuti
Sevá, Anaiá da Paixão
author_facet Machado, Carolina Angélica Libório
Valle, Denis
Horta, Mauricio Claudio
Meiga, Ana Yoko Ykeuti
Sevá, Anaiá da Paixão
author_sort Machado, Carolina Angélica Libório
collection PubMed
description Visceral leishmaniasis (VL) is the second most common protozoosis that affects people around the world. The aim of this study is to understand how environmental and socioeconomic factors, as well as VL control and surveillance interventions, influence the spread and detection of VL cases in Pernambuco state (Brazil). A novel model was developed to analyze cases of VL between 2007 and 2018, enabling the quantification of the association of these variables with two processes: the probability of “invasion” (emergence of new cases) at municipalities by VL, and the probability of detecting cases not reported in municipalities that have already been invaded. Pernambuco state identified 1,410 cases of VL between 2007 and 2018, with an average of 128 cases per year and average incidence of 1.28/100 thousand people. These cases were distributed in 77.1% (142/184) of the municipalities, and 54.8% (773/1,410) of them were autochthonous. Our model reveals that the proportion of agriculture was positively associated with VL invasion probability. We also find that municipalities that are closer to notification centers and/or that have received technical training and support tend to have higher detection rates of VL cases. Taken together, these results suggest that a municipality with almost no agriculture and that received technical training, located close to a notification center, is unlikely to be invaded if no cases have ever been detected. On the other hand, a municipality that is far from the notification center, with no technical training, with a large agricultural area might have already been invaded but the surveillance system might have routinely failed to detect VL cases due to low detection probability. By disentangling the processes of invasion and detection, we were able to generate insights that are likely to be useful for the strategic allocation of VL prevention and control interventions.
format Online
Article
Text
id pubmed-9983839
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-99838392023-03-04 Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018 Machado, Carolina Angélica Libório Valle, Denis Horta, Mauricio Claudio Meiga, Ana Yoko Ykeuti Sevá, Anaiá da Paixão PLoS Negl Trop Dis Research Article Visceral leishmaniasis (VL) is the second most common protozoosis that affects people around the world. The aim of this study is to understand how environmental and socioeconomic factors, as well as VL control and surveillance interventions, influence the spread and detection of VL cases in Pernambuco state (Brazil). A novel model was developed to analyze cases of VL between 2007 and 2018, enabling the quantification of the association of these variables with two processes: the probability of “invasion” (emergence of new cases) at municipalities by VL, and the probability of detecting cases not reported in municipalities that have already been invaded. Pernambuco state identified 1,410 cases of VL between 2007 and 2018, with an average of 128 cases per year and average incidence of 1.28/100 thousand people. These cases were distributed in 77.1% (142/184) of the municipalities, and 54.8% (773/1,410) of them were autochthonous. Our model reveals that the proportion of agriculture was positively associated with VL invasion probability. We also find that municipalities that are closer to notification centers and/or that have received technical training and support tend to have higher detection rates of VL cases. Taken together, these results suggest that a municipality with almost no agriculture and that received technical training, located close to a notification center, is unlikely to be invaded if no cases have ever been detected. On the other hand, a municipality that is far from the notification center, with no technical training, with a large agricultural area might have already been invaded but the surveillance system might have routinely failed to detect VL cases due to low detection probability. By disentangling the processes of invasion and detection, we were able to generate insights that are likely to be useful for the strategic allocation of VL prevention and control interventions. Public Library of Science 2023-02-08 /pmc/articles/PMC9983839/ /pubmed/36753511 http://dx.doi.org/10.1371/journal.pntd.0011108 Text en © 2023 Machado 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
Machado, Carolina Angélica Libório
Valle, Denis
Horta, Mauricio Claudio
Meiga, Ana Yoko Ykeuti
Sevá, Anaiá da Paixão
Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018
title Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018
title_full Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018
title_fullStr Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018
title_full_unstemmed Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018
title_short Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018
title_sort patterns and drivers of human visceral leishmaniasis in pernambuco (brazil) from 2007 to 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983839/
https://www.ncbi.nlm.nih.gov/pubmed/36753511
http://dx.doi.org/10.1371/journal.pntd.0011108
work_keys_str_mv AT machadocarolinaangelicaliborio patternsanddriversofhumanvisceralleishmaniasisinpernambucobrazilfrom2007to2018
AT valledenis patternsanddriversofhumanvisceralleishmaniasisinpernambucobrazilfrom2007to2018
AT hortamauricioclaudio patternsanddriversofhumanvisceralleishmaniasisinpernambucobrazilfrom2007to2018
AT meigaanayokoykeuti patternsanddriversofhumanvisceralleishmaniasisinpernambucobrazilfrom2007to2018
AT sevaanaiadapaixao patternsanddriversofhumanvisceralleishmaniasisinpernambucobrazilfrom2007to2018