Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania

In Africa, malaria is predominantly a rural disease where agriculture forms the backbone of the economy. Various agro-ecosystems and crop production systems have an impact on mosquito productivity, and hence malaria transmission intensity. This study was carried out to determine spatial and temporal...

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Main Authors: Leonard E. G. Mboera, Kesheni P. Senkoro, Benjamin K. Mayala, Susan F. Rumisha, Rwehumbiza T. Rwegoshora, Malongo R. S. Mlozi, Elizabeth H. Shayo
Format: Article
Language:English
Published: PAGEPress Publications 2010-05-01
Series:Geospatial Health
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Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/198
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author Leonard E. G. Mboera
Kesheni P. Senkoro
Benjamin K. Mayala
Susan F. Rumisha
Rwehumbiza T. Rwegoshora
Malongo R. S. Mlozi
Elizabeth H. Shayo
author_facet Leonard E. G. Mboera
Kesheni P. Senkoro
Benjamin K. Mayala
Susan F. Rumisha
Rwehumbiza T. Rwegoshora
Malongo R. S. Mlozi
Elizabeth H. Shayo
author_sort Leonard E. G. Mboera
collection DOAJ
description In Africa, malaria is predominantly a rural disease where agriculture forms the backbone of the economy. Various agro-ecosystems and crop production systems have an impact on mosquito productivity, and hence malaria transmission intensity. This study was carried out to determine spatial and temporal variations in anopheline mosquito population and malaria transmission intensity in five villages, representing different agro-ecosystems in Mvomero district, Tanzania, so as to provide baseline information for malaria interventions. The agro-ecosystems consisted of irrigated sugarcane, flooding rice irrigation, non-flooding rice irrigation, wet savannah and dry savannah. In each setting, adult mosquitoes were sampled monthly using Centers for Disease Control and Prevention (CDC) light traps from August 2004 to July 2005. A total of 35,702 female mosquitoes were collected. <em>Anopheles gambiae</em> sensu lato was the most abundant (58.9%) mosquito species. <em>An. funestus</em> accounted for 12.0% of the mosquitoes collected. There was a substantial village to village variation and seasonality in the density of Anopheles mosquito population, with peaks in May towards the end of the warm and rainy season. Significantly larger numbers of <em>anophelines</em> were collected from traditional flooding rice irrigation ecosystem (70.7%) than in non-flooding rice irrigation (8.6%), sugarcane (7.0%), wet savannah (7.3%) and dry savannah (6.4%). The overall sporozoite rates for <em>An. gambiae</em> and <em>An. funestus</em> were 3.4% and 2.3%, respectively. The combined overall sporozoite rate (<em>An. gambiae</em>+<em>An. funestus</em>) was 3.2%. The mean annual entomological inoculation rate (EIR) for <em>An. gambiae</em> s.l. was 728 infective bites per person per year and this was significantly higher in traditional flooding rice irrigation (1351) than in other agro-ecosystems. The highest EIRs for <em>An. gambiae</em> s.l. and <em>An. funestus</em> were observed during May 2005 (long rainy season) and December 2004 (short rainy season), respectively. The findings support the evidence that malaria transmission risk varies even between neighbouring villages and is influenced by agro-ecosystems. This study therefore, demonstrates the need to generate spatial and temporal data on transmission intensity on smaller scales taking into consideration
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spelling doaj.art-3619772007784b0c8373eaa1005af9442022-12-22T01:25:19ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962010-05-014216717810.4081/gh.2010.198198Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, TanzaniaLeonard E. G. Mboera0Kesheni P. Senkoro1Benjamin K. Mayala2Susan F. Rumisha3Rwehumbiza T. Rwegoshora4Malongo R. S. Mlozi5Elizabeth H. Shayo6National Institute for Medical Research, Dar es SalaamNational Institute for Medical Research, Dar es SalaamNational Institute for Medical Research, Dar es SalaamNational Institute for Medical Research, Dar es SalaamAmani Medical Research Centre, MuhezaSokoine University of Agriculture, MorogoroNational Institute for Medical Research, Dar es SalaamIn Africa, malaria is predominantly a rural disease where agriculture forms the backbone of the economy. Various agro-ecosystems and crop production systems have an impact on mosquito productivity, and hence malaria transmission intensity. This study was carried out to determine spatial and temporal variations in anopheline mosquito population and malaria transmission intensity in five villages, representing different agro-ecosystems in Mvomero district, Tanzania, so as to provide baseline information for malaria interventions. The agro-ecosystems consisted of irrigated sugarcane, flooding rice irrigation, non-flooding rice irrigation, wet savannah and dry savannah. In each setting, adult mosquitoes were sampled monthly using Centers for Disease Control and Prevention (CDC) light traps from August 2004 to July 2005. A total of 35,702 female mosquitoes were collected. <em>Anopheles gambiae</em> sensu lato was the most abundant (58.9%) mosquito species. <em>An. funestus</em> accounted for 12.0% of the mosquitoes collected. There was a substantial village to village variation and seasonality in the density of Anopheles mosquito population, with peaks in May towards the end of the warm and rainy season. Significantly larger numbers of <em>anophelines</em> were collected from traditional flooding rice irrigation ecosystem (70.7%) than in non-flooding rice irrigation (8.6%), sugarcane (7.0%), wet savannah (7.3%) and dry savannah (6.4%). The overall sporozoite rates for <em>An. gambiae</em> and <em>An. funestus</em> were 3.4% and 2.3%, respectively. The combined overall sporozoite rate (<em>An. gambiae</em>+<em>An. funestus</em>) was 3.2%. The mean annual entomological inoculation rate (EIR) for <em>An. gambiae</em> s.l. was 728 infective bites per person per year and this was significantly higher in traditional flooding rice irrigation (1351) than in other agro-ecosystems. The highest EIRs for <em>An. gambiae</em> s.l. and <em>An. funestus</em> were observed during May 2005 (long rainy season) and December 2004 (short rainy season), respectively. The findings support the evidence that malaria transmission risk varies even between neighbouring villages and is influenced by agro-ecosystems. This study therefore, demonstrates the need to generate spatial and temporal data on transmission intensity on smaller scales taking into considerationhttp://www.geospatialhealth.net/index.php/gh/article/view/198agro-ecosystem, Anopheles gambiae, Anopheles funestus, geographical information system, malaria, Tanzania.
spellingShingle Leonard E. G. Mboera
Kesheni P. Senkoro
Benjamin K. Mayala
Susan F. Rumisha
Rwehumbiza T. Rwegoshora
Malongo R. S. Mlozi
Elizabeth H. Shayo
Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania
Geospatial Health
agro-ecosystem, Anopheles gambiae, Anopheles funestus, geographical information system, malaria, Tanzania.
title Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania
title_full Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania
title_fullStr Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania
title_full_unstemmed Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania
title_short Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania
title_sort spatio temporal variation in malaria transmission intensity in five agro ecosystems in mvomero district tanzania
topic agro-ecosystem, Anopheles gambiae, Anopheles funestus, geographical information system, malaria, Tanzania.
url http://www.geospatialhealth.net/index.php/gh/article/view/198
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