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Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions

BACKGROUND: Snakebites are a public health problem in Nicaragua: it is a tropical developing country, venomous snakes are present and there are reports of snakebites treated both in the formal and informal health care system. We aimed to produce an incidence map using data reported by the health car...

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Autores principales: Hansson, Erik, Cuadra, Steven, Oudin, Anna, de Jong, Kim, Stroh, Emilie, Torén, Kjell, Albin, Maria
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990701/
https://www.ncbi.nlm.nih.gov/pubmed/21124884
http://dx.doi.org/10.1371/journal.pntd.0000896
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author Hansson, Erik
Cuadra, Steven
Oudin, Anna
de Jong, Kim
Stroh, Emilie
Torén, Kjell
Albin, Maria
author_facet Hansson, Erik
Cuadra, Steven
Oudin, Anna
de Jong, Kim
Stroh, Emilie
Torén, Kjell
Albin, Maria
author_sort Hansson, Erik
collection PubMed
description BACKGROUND: Snakebites are a public health problem in Nicaragua: it is a tropical developing country, venomous snakes are present and there are reports of snakebites treated both in the formal and informal health care system. We aimed to produce an incidence map using data reported by the health care system that would be used to allocate resources. However, this map may suffer from case detection bias and decisions based on this map will neglect snakebite victims who do not receive healthcare. To avoid this error, we try to identify where underreporting is likely based on available information. METHOD AND FINDINGS: The Nicaraguan municipalities are categorized by precipitation, altitude and geographical location into regions of assumed homogenous snake prevalence. Socio-economic and healthcare variables hypothesized to be related to underreporting of snakebites are aggregated into an index. The environmental region variable, the underreporting index and three demographic variables (rurality, sex and age distribution) are entered in a Poisson regression model of municipality-level snakebite incidence. In this model, the underreporting index is non-linearly associated with snakebite incidence, a finding we attribute to underreporting in the most deprived municipalities. The municipalities with the worst scoring on the underreporting index and those with combined low reported incidence and large rural population are identified as likely underreporting. 3,286 snakebite cases were reported in 2005–2009, corresponding to a 5-year incidence of 56 bites per 100,000 inhabitants (municipality range: 0–600 cases per 100,000 inhabitants). CONCLUSIONS: Using publicly available data, we identified areas likely to be underreporting snakebites and highlighted these areas instead of leaving them “white” on the incidence map. The effects of the case detection bias on the distribution of resources against snakebites could decrease. Although not yet verified empirically, our study provides an example of how snake bite epidemiology may be investigated in similar settings worldwide at a low cost.
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spelling pubmed-29907012010-12-01 Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions Hansson, Erik Cuadra, Steven Oudin, Anna de Jong, Kim Stroh, Emilie Torén, Kjell Albin, Maria PLoS Negl Trop Dis Research Article BACKGROUND: Snakebites are a public health problem in Nicaragua: it is a tropical developing country, venomous snakes are present and there are reports of snakebites treated both in the formal and informal health care system. We aimed to produce an incidence map using data reported by the health care system that would be used to allocate resources. However, this map may suffer from case detection bias and decisions based on this map will neglect snakebite victims who do not receive healthcare. To avoid this error, we try to identify where underreporting is likely based on available information. METHOD AND FINDINGS: The Nicaraguan municipalities are categorized by precipitation, altitude and geographical location into regions of assumed homogenous snake prevalence. Socio-economic and healthcare variables hypothesized to be related to underreporting of snakebites are aggregated into an index. The environmental region variable, the underreporting index and three demographic variables (rurality, sex and age distribution) are entered in a Poisson regression model of municipality-level snakebite incidence. In this model, the underreporting index is non-linearly associated with snakebite incidence, a finding we attribute to underreporting in the most deprived municipalities. The municipalities with the worst scoring on the underreporting index and those with combined low reported incidence and large rural population are identified as likely underreporting. 3,286 snakebite cases were reported in 2005–2009, corresponding to a 5-year incidence of 56 bites per 100,000 inhabitants (municipality range: 0–600 cases per 100,000 inhabitants). CONCLUSIONS: Using publicly available data, we identified areas likely to be underreporting snakebites and highlighted these areas instead of leaving them “white” on the incidence map. The effects of the case detection bias on the distribution of resources against snakebites could decrease. Although not yet verified empirically, our study provides an example of how snake bite epidemiology may be investigated in similar settings worldwide at a low cost. Public Library of Science 2010-11-23 /pmc/articles/PMC2990701/ /pubmed/21124884 http://dx.doi.org/10.1371/journal.pntd.0000896 Text en Hansson et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hansson, Erik
Cuadra, Steven
Oudin, Anna
de Jong, Kim
Stroh, Emilie
Torén, Kjell
Albin, Maria
Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions
title Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions
title_full Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions
title_fullStr Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions
title_full_unstemmed Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions
title_short Mapping Snakebite Epidemiology in Nicaragua – Pitfalls and Possible Solutions
title_sort mapping snakebite epidemiology in nicaragua – pitfalls and possible solutions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990701/
https://www.ncbi.nlm.nih.gov/pubmed/21124884
http://dx.doi.org/10.1371/journal.pntd.0000896
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