TITLE

Spatial and temporal variation in malaria transmission in a low endemicity area in northern Tanzania

AUTHOR(S)
Oesterholt, M. J. A. M.; Bousema, J. T.; Mwerinde, O. K.; Harris, C.; Lushino, P.; Masokoto, A.; Mwerinde, H.; Mosha, F. W.; Drakeley, C. J.
PUB. DATE
January 2006
SOURCE
Malaria Journal;2006, Vol. 5, p98
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Background: Spatial and longitudinal monitoring of transmission intensity will allow better targeting of malaria interventions. In this study, data on meteorological, demographic, entomological and parasitological data over the course of a year was collected to describe malaria epidemiology in a single village of low transmission intensity. Methods: Entomological monitoring of malaria vectors was performed by weekly light trap catches in 10 houses. Each house in the village of Msitu wa Tembo, Lower Moshi, was mapped and censused. Malaria cases identified through passive case detection at the local health centre were mapped by residence using GIS software and the incidence of cases by season and distance to the main breeding site was calculated. Results: The principle vector was Anopheles arabiensis and peak mosquito numbers followed peaks in recent rainfall. The entomological inoculation rate estimated was 3.4 (95% CI 0.7-9.9) infectious bites per person per year. The majority of malaria cases (85/130) occurred during the rainy season (÷2 = 62,3, p < 0.001). Living further away from the river (OR 0.96, CI 0.92-0.998, p = 0.04 every 50 m) and use of anti-insect window screens (OR 0.65, CI 0.44-0.94, p = 0.023) were independent protective factors for the risk of malaria infection. Children aged 1-5 years and 5-15 years were at greater risk of clinical episodes (OR 2.36, CI 1.41-3.97, p = 0.001 and OR 3.68, CI 2.42-5.61, p < 0.001 respectively). Conclusion: These data show that local malaria transmission is restricted to the rainy season and strongly associated with proximity to the river. Transmission reducing interventions should, therefore, be timed before the rain-associated increase in mosquito numbers and target households located near the river.
ACCESSION #
30094834

 

Related Articles

  • Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia. Chanda, Emmanuel; Mukonka, Victor Munyongwe; Mthembu, David; Kamuliwo, Mulakwa; Coetzer, Sarel; Shinondo, Cecilia Jill // Journal of Tropical Medicine (16879686);2012, p1 

    Geographic information systems (GISs) with emerging technologies are being harnessed for studying spatial patterns in vector-borne diseases to reduce transmission. To implement effective vector control, increased knowledge on interactions of epidemiological and entomological malaria transmission...

  • Epidemiology of malaria in a village in the Rufiji River Delta, Tanzania: declining transmission over 25 years revealed by different parasitological metrics. Färnert, Anna; Yman, Victor; Homann, Manijeh Vafa; Wandell, Grace; Mhoja, Leah; Johansson, Marita; Jesaja, Salome; Sandlund, Johanna; Hammar, Ulf; Bottai, Matteo; Premji, Zulfiqarali G.; Björkman, Anders; Rooth, Ingegerd; Tanabe, Kazuyuki // Malaria Journal;2014, Vol. 13 Issue 1, p1 

    Background Assessments of the epidemiology of malaria over time are needed to understand changes in transmission and guide control and elimination strategies. Methods A longitudinal population study was established in 1985 in Nyamisati village in the Rufiji River Delta, Tanzania. A physician and...

  • Malaria Transmission Pattern in an Area Selected for Clinical Trials in the Sudanian Area of Senegal (West Africa). Amadou Niang, El Hadji; Touré, Aissatou; Malick Ngom, El Hadji; Konaté, Lassana; Faye, Ousmane; Diallo, Mawlouth; Dia, Ibrahima // Journal of Tropical Medicine (16879686);2013, p1 

    Malaria transmission pattern was studied in 3 villages (Toubanding, Daga Ndoup, and Keur Samba Guèye) situated within an area selected for clinical trials. The study was conducted in the rainy season from July to December 2011. The main objective of this work was to gather baseline data on...

  • Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical Modelling Approach. Gomes, Eduardo; Capinha, César; Rocha, Jorge; Sousa, Carla // PLoS ONE;11/4/2016, Vol. 11 Issue 11, p1 

    Malaria is currently one of the world´s major health problems. About a half-million deaths are recorded every year. In Portugal, malaria cases were significantly high until the end of the 1950s but the disease was considered eliminated in 1973. In the past few years, endemic malaria cases...

  • Book reviews. Danson, F. Mark; Fadda, Eyad // International Journal of Remote Sensing;1/15/2002, Vol. 23 Issue 1, p197 

    Reviews the books 'Remote Sensing and Geographical Information Systems in Epidemiology,' edited by S.I. Hay, S.E. Randolph and D.J. Rogers, 'Advances in Parasitology,' edited by J.R. Baker, R.Muller and D. Rollinson and 'GIS and Remote Sensing Techniques in Land- and Water-Management,' edited by...

  • Seasonal Trends in Epidemiological and Entomological Profiles of Malaria Transmission in North Central Nigeria. Olayemi, I. K.; Ande, A. T.; Ayanwale, A. V.; Mohammed, A. Z.; Bello, I. M.; Idris, B.; Isah, B.; Chukwuemeka, V.; Ukubuiwe, A. C. // Pakistan Journal of Biological Sciences;2011, Vol. 14 Issue 4, p292 

    No abstract available.

  • Transmission Attributes of Periurban Malaria in Lusaka, Zambia, Precedent to the Integrated Vector Management Strategy: An Entomological Input. Chanda, Emmanuel; Baboo, Kumar S.; Shinondo, Cecilia J. // Journal of Tropical Medicine (16879686);2012, p1 

    Globalization and urbanization with their inherent developmental activities and ecological transformations impact on malaria epidemiology. Entomological factors involved in malaria transmission in periurban Lusaka were assessed prior to vector control reintroduction. Data was collected through...

  • Geographic information systems: their use in environmental epidemiologic research Degnan, Darrah; Vine, Marilyn F.; Hanchette, Carol // Environmental Health Perspectives;Jun1997, Vol. 105 Issue 6, p598 

    Advances in geographic information system (GIS) technology, developed by geographers, provide new opportunities for environmental epidemiologists to study associations between environmental exposures and the spatial distribution of disease. A GIS is a powerful computer mapping and analysis...

  • Spatial analysis in epidemiology: Nascent science or a failure of GIS? Jacquez, Geoffrey M. // Journal of Geographical Systems;2000, Vol. 2 Issue 1, p91 

    Abstract. This paper summarizes contributions of GIS in epidemiology, and identifies needs required to support spatial epidemiology as science. The objective of spatial epidemiology is to identify disease causes and correlates by relating spatial disease patterns to geographic variation in...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics