Msellemu, D, Namango, HI, Mwakalinga, VM, Ntamatungiro, AJ, Mlacha, Y, Mtema, ZJ, Kiware, S, Lobo, NF, Majambere, S, Dongus, S, Drakeley, CJ, Govella, NJ, Chaki, PP and Killeen, GF. 2016. The epidemiology of residual Plasmodium falciparum malaria transmission and infection burden in an African city with high coverage of multiple vector control measures. [Online]. Malaria Journal. Available from: https://doi.org/10.1186/s12936-016-1340-4.
Msellemu, D, Namango, HI, Mwakalinga, VM, Ntamatungiro, AJ, Mlacha, Y, Mtema, ZJ, Kiware, S, Lobo, NF, Majambere, S, Dongus, S, Drakeley, CJ, Govella, NJ, Chaki, PP and Killeen, GF. The epidemiology of residual Plasmodium falciparum malaria transmission and infection burden in an African city with high coverage of multiple vector control measures [Internet]. Malaria Journal; 2016. Available from: https://doi.org/10.1186/s12936-016-1340-4.
Msellemu, D, Namango, HI, Mwakalinga, VM, Ntamatungiro, AJ, Mlacha, Y, Mtema, ZJ, Kiware, S, Lobo, NF, Majambere, S, Dongus, S, Drakeley, CJ, Govella, NJ, Chaki, PP and Killeen, GF (2016). The epidemiology of residual Plasmodium falciparum malaria transmission and infection burden in an African city with high coverage of multiple vector control measures. [Data Collection]. Malaria Journal. https://doi.org/10.1186/s12936-016-1340-4.
Description
In the Tanzanian city of Dar es Salaam, high coverage of long-lasting insecticidal nets (LLINs), larvicide application (LA) and mosquito-proofed housing, was complemented with improved access to artemisinin-based combination therapy and rapid diagnostic tests by the end of 2012. Three rounds of city-wide, cluster-sampled cross-sectional surveys of malaria parasite infection status, spanning 2010 to 2012, were complemented by two series of high-resolution, longitudinal surveys of vector density. Larvicide application using a granule formulation of Bacillus thuringiensis var. israelensis (Bti) had no effect upon either vector density (P = 0.820) or infection prevalence (P = 0.325) when managed by a private-sector contractor. Infection prevalence rebounded back to 13.8 % in 2010, compared with <2 % at the end of a previous Bti LA evaluation in 2008. Following transition to management by the Ministry of Health and Social Welfare (MoHSW), LA consistently reduced vector densities, first using the same Bti granule in early 2011 [odds ratio (OR) (95 % confidence interval (CI)) = 0.31 (0.14, 0.71), P = 0.0053] and then a pre-diluted aqueous suspension formulation from mid 2011 onwards [OR (95 % CI) = 0.15 (0.07, 0.30), P ≪ 0.000001]. While LA by MoHSW with the granule formulation was associated with reduced infection prevalence [OR (95 % CI) = 0.26 (0.12, 0.56), P = 0.00040], subsequent liquid suspension use, following a mass distribution to achieve universal coverage of LLINs that reduced vector density [OR (95 % CI) = 0.72 (0.51, 1.01), P = 0.057] and prevalence [OR (95 % CI) = 0.80 (0.69, 0.91), P = 0.0013], was not associated with further prevalence reduction (P = 0.836). Sleeping inside houses with complete window screens only reduced infection risk [OR (95 % CI) = 0.71 (0.62, 0.82), P = 0.0000036] if the evenings and mornings were also spent indoors. Furthermore, infection risk was only associated with local vector density [OR (95 % CI) = 6.99 (1.12, 43.7) at one vector mosquito per trap per night, P = 0.037] among the minority (14 %) of households lacking screening. Despite attenuation of malaria transmission and immunity, 88 % of infected residents experienced no recent fever, only 0.4 % of these afebrile cases had been treated for malaria, and prevalence remained high (9.9 %) at the end of the study. While existing vector control interventions have dramatically attenuated malaria transmission in Dar es Salaam, further scale-up and additional measures to protect against mosquito bites outdoors are desirable. Accelerated elimination of chronic human infections persisting at high prevalence will require active, population-wide campaigns with curative drugs.
Data capture method | Experiment: Field Intervention | ||||||||
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Data Collection Period |
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Date (Date published in a 3rd party system) | 23 May 2016 | ||||||||
Geographical area covered (offline during plugin upgrade) |
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Language(s) of written materials | English |
Data Creators | Msellemu, D, Namango, HI, Mwakalinga, VM, Ntamatungiro, AJ, Mlacha, Y, Mtema, ZJ, Kiware, S, Lobo, NF, Majambere, S, Dongus, S, Drakeley, CJ, Govella, NJ, Chaki, PP and Killeen, GF |
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LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Immunology and Infection |
Participating Institutions | London School of Hygiene & Tropical Medicine, Ifakara Health Institute, University of Nairobi, University of the Witwatersrand, Liverpool School of Tropical Medicine, Marquette University, Notre Dame University, University of Basel |
Funders |
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Date Deposited | 02 Jun 2016 09:24 |
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Last Modified | 09 Jul 2021 11:22 |
Publisher | Malaria Journal |
Downloads
Data / Code
Filename: File1-Bite_Exposure_Calculator.xlsx
Description: Calculator for individual-level estimates of the proportion of exposure of bites by Anopheles gambiae sensu lato that would occur indoors or while asleep in the absence of any protective interventions such as window screens or bed nets
Content type: Dataset
File size: 642kB
Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Filename: File2-HouseholdsParticipantsSummary_XLS.xlsx
Description: Summaries of sampled households and participants (MS Excel)
Content type: Dataset
File size: 51kB
Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Filename: File2-HouseholdsParticipantsSummary_tab.zip
Description: Summaries of sampled households and participants (tab-delimited)
Content type: Compressed Archive
File size: 6kB
Mime-Type: application/x-zip