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Quantifying the impact of decay in bed-net efficacy on malaria transmission
Insecticide-treated nets (ITNs) are at the forefront of malaria control programs and even though the percentage of households in sub-Saharan Africa that owned nets increased from 3% in 2000 to 53% in 2012, many children continue to die from malaria. The potential impact of ITNs on reducing malaria t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374367/ https://www.ncbi.nlm.nih.gov/pubmed/25158163 http://dx.doi.org/10.1016/j.jtbi.2014.08.018 |
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author | Ngonghala, Calistus N. Del Valle, Sara Y. Zhao, Ruijun Mohammed-Awel, Jemal |
author_facet | Ngonghala, Calistus N. Del Valle, Sara Y. Zhao, Ruijun Mohammed-Awel, Jemal |
author_sort | Ngonghala, Calistus N. |
collection | PubMed |
description | Insecticide-treated nets (ITNs) are at the forefront of malaria control programs and even though the percentage of households in sub-Saharan Africa that owned nets increased from 3% in 2000 to 53% in 2012, many children continue to die from malaria. The potential impact of ITNs on reducing malaria transmission is limited due to inconsistent or improper use, as well as physical decay in effectiveness. Most mathematical models for malaria transmission have assumed a fixed effectiveness rate for bed-nets, which can overestimate the impact of nets on malaria control. We develop a model for malaria spread that captures the decrease in ITN effectiveness due to physical and chemical decay, as well as human behavior as a function of time. We perform uncertainty and sensitivity analyses to identify and rank parameters that play a critical role in malaria transmission. These analyses show that the basic reproduction number R(0), and the infectious human population are most sensitive to bed-net coverage and the biting rate of mosquitoes. Our results show the existence of a backward bifurcation for the case in which ITN efficacy is constant over time, which occurs for some range of parameters and is characterized by high malaria mortality in humans. This result implies that bringing R(0) to less than one is not enough for malaria elimination but rather additional efforts will be necessary to control the disease. For the case in which ITN efficacy decays over time, we determine coverage levels required to control malaria for different ITN efficacies and demonstrate that ITNs with longer useful lifespans perform better in malaria control. We conclude that malaria control programs should focus on increasing bed-net coverage, which can be achieved by enhancing malaria education and increasing bed-net distribution in malaria endemic regions. |
format | Online Article Text |
id | pubmed-4374367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43743672015-03-26 Quantifying the impact of decay in bed-net efficacy on malaria transmission Ngonghala, Calistus N. Del Valle, Sara Y. Zhao, Ruijun Mohammed-Awel, Jemal J Theor Biol Article Insecticide-treated nets (ITNs) are at the forefront of malaria control programs and even though the percentage of households in sub-Saharan Africa that owned nets increased from 3% in 2000 to 53% in 2012, many children continue to die from malaria. The potential impact of ITNs on reducing malaria transmission is limited due to inconsistent or improper use, as well as physical decay in effectiveness. Most mathematical models for malaria transmission have assumed a fixed effectiveness rate for bed-nets, which can overestimate the impact of nets on malaria control. We develop a model for malaria spread that captures the decrease in ITN effectiveness due to physical and chemical decay, as well as human behavior as a function of time. We perform uncertainty and sensitivity analyses to identify and rank parameters that play a critical role in malaria transmission. These analyses show that the basic reproduction number R(0), and the infectious human population are most sensitive to bed-net coverage and the biting rate of mosquitoes. Our results show the existence of a backward bifurcation for the case in which ITN efficacy is constant over time, which occurs for some range of parameters and is characterized by high malaria mortality in humans. This result implies that bringing R(0) to less than one is not enough for malaria elimination but rather additional efforts will be necessary to control the disease. For the case in which ITN efficacy decays over time, we determine coverage levels required to control malaria for different ITN efficacies and demonstrate that ITNs with longer useful lifespans perform better in malaria control. We conclude that malaria control programs should focus on increasing bed-net coverage, which can be achieved by enhancing malaria education and increasing bed-net distribution in malaria endemic regions. 2014-08-23 2014-12-21 /pmc/articles/PMC4374367/ /pubmed/25158163 http://dx.doi.org/10.1016/j.jtbi.2014.08.018 Text en © 2014 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
spellingShingle | Article Ngonghala, Calistus N. Del Valle, Sara Y. Zhao, Ruijun Mohammed-Awel, Jemal Quantifying the impact of decay in bed-net efficacy on malaria transmission |
title | Quantifying the impact of decay in bed-net efficacy on malaria transmission |
title_full | Quantifying the impact of decay in bed-net efficacy on malaria transmission |
title_fullStr | Quantifying the impact of decay in bed-net efficacy on malaria transmission |
title_full_unstemmed | Quantifying the impact of decay in bed-net efficacy on malaria transmission |
title_short | Quantifying the impact of decay in bed-net efficacy on malaria transmission |
title_sort | quantifying the impact of decay in bed-net efficacy on malaria transmission |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374367/ https://www.ncbi.nlm.nih.gov/pubmed/25158163 http://dx.doi.org/10.1016/j.jtbi.2014.08.018 |
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