A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission
<p>Abstract</p> <p>Background</p> <p>Malaria is one of the oldest and deadliest infectious diseases in humans. Many mathematical models of malaria have been developed during the past century, and applied to potential interventions. However, malaria remains uncontrolled...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2004-07-01
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| Series: | Malaria Journal |
| Online Access: | http://www.malariajournal.com/content/3/1/29 |
| _version_ | 1811278501372755968 |
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| author | Billingsley Peter Dushoff Jonathan Carlson John Beier John Knols Bart Killeen Gerry Mbogo Charles M Depinay Jean-Marc O Mwambi Henry Githure John Toure Abdoulaye M Ellis McKenzie F |
| author_facet | Billingsley Peter Dushoff Jonathan Carlson John Beier John Knols Bart Killeen Gerry Mbogo Charles M Depinay Jean-Marc O Mwambi Henry Githure John Toure Abdoulaye M Ellis McKenzie F |
| author_sort | Billingsley Peter |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Malaria is one of the oldest and deadliest infectious diseases in humans. Many mathematical models of malaria have been developed during the past century, and applied to potential interventions. However, malaria remains uncontrolled and is increasing in many areas, as are vector and parasite resistance to insecticides and drugs.</p> <p>Methods</p> <p>This study presents a simulation model of African malaria vectors. This individual-based model incorporates current knowledge of the mechanisms underlying <it>Anopheles </it>population dynamics and their relations to the environment. One of its main strengths is that it is based on both biological and environmental variables.</p> <p>Results</p> <p>The model made it possible to structure existing knowledge, assembled in a comprehensive review of the literature, and also pointed out important aspects of basic <it>Anopheles </it>biology about which knowledge is lacking. One simulation showed several patterns similar to those seen in the field, and made it possible to examine different analyses and hypotheses for these patterns; sensitivity analyses on temperature, moisture, predation and preliminary investigations of nutrient competition were also conducted.</p> <p>Conclusions</p> <p>Although based on some mathematical formulae and parameters, this new tool has been developed in order to be as explicit as possible, transparent in use, close to reality and amenable to direct use by field workers. It allows a better understanding of the mechanisms underlying <it>Anopheles </it>population dynamics in general and also a better understanding of the dynamics in specific local geographic environments. It points out many important areas for new investigations that will be critical to effective, efficient, sustainable interventions.</p> |
| first_indexed | 2024-04-13T00:35:58Z |
| format | Article |
| id | doaj.art-bc40633b37dd4ce4b28eb52343ce0b0e |
| institution | Directory Open Access Journal |
| issn | 1475-2875 |
| language | English |
| last_indexed | 2024-04-13T00:35:58Z |
| publishDate | 2004-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Malaria Journal |
| spelling | doaj.art-bc40633b37dd4ce4b28eb52343ce0b0e2022-12-22T03:10:19ZengBMCMalaria Journal1475-28752004-07-01312910.1186/1475-2875-3-29A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmissionBillingsley PeterDushoff JonathanCarlson JohnBeier JohnKnols BartKilleen GerryMbogo Charles MDepinay Jean-Marc OMwambi HenryGithure JohnToure Abdoulaye MEllis McKenzie F<p>Abstract</p> <p>Background</p> <p>Malaria is one of the oldest and deadliest infectious diseases in humans. Many mathematical models of malaria have been developed during the past century, and applied to potential interventions. However, malaria remains uncontrolled and is increasing in many areas, as are vector and parasite resistance to insecticides and drugs.</p> <p>Methods</p> <p>This study presents a simulation model of African malaria vectors. This individual-based model incorporates current knowledge of the mechanisms underlying <it>Anopheles </it>population dynamics and their relations to the environment. One of its main strengths is that it is based on both biological and environmental variables.</p> <p>Results</p> <p>The model made it possible to structure existing knowledge, assembled in a comprehensive review of the literature, and also pointed out important aspects of basic <it>Anopheles </it>biology about which knowledge is lacking. One simulation showed several patterns similar to those seen in the field, and made it possible to examine different analyses and hypotheses for these patterns; sensitivity analyses on temperature, moisture, predation and preliminary investigations of nutrient competition were also conducted.</p> <p>Conclusions</p> <p>Although based on some mathematical formulae and parameters, this new tool has been developed in order to be as explicit as possible, transparent in use, close to reality and amenable to direct use by field workers. It allows a better understanding of the mechanisms underlying <it>Anopheles </it>population dynamics in general and also a better understanding of the dynamics in specific local geographic environments. It points out many important areas for new investigations that will be critical to effective, efficient, sustainable interventions.</p>http://www.malariajournal.com/content/3/1/29 |
| spellingShingle | Billingsley Peter Dushoff Jonathan Carlson John Beier John Knols Bart Killeen Gerry Mbogo Charles M Depinay Jean-Marc O Mwambi Henry Githure John Toure Abdoulaye M Ellis McKenzie F A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission Malaria Journal |
| title | A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission |
| title_full | A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission |
| title_fullStr | A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission |
| title_full_unstemmed | A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission |
| title_short | A simulation model of African <it>Anopheles </it>ecology and population dynamics for the analysis of malaria transmission |
| title_sort | simulation model of african it anopheles it ecology and population dynamics for the analysis of malaria transmission |
| url | http://www.malariajournal.com/content/3/1/29 |
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