- Study protocol
- Open Access
Investigating mosquito net durability for malaria control in Tanzania - attrition, bioefficacy, chemistry, degradation and insecticide resistance (ABCDR): study protocol
© Lorenz et al.; licensee BioMed Central. 2014
- Received: 3 December 2014
- Accepted: 9 December 2014
- Published: 13 December 2014
Long-Lasting Insecticidal Nets (LLINs) are one of the major malaria vector control tools, with most countries adopting free or subsidised universal coverage campaigns of populations at-risk from malaria. It is essential to understand LLIN durability so that public health policy makers can select the most cost effective nets that last for the longest time, and estimate the optimal timing of repeated distribution campaigns. However, there is limited knowledge from few countries of the durability of LLINs under user conditions.
This study investigates LLIN durability in eight districts of Tanzania, selected for their demographic, geographic and ecological representativeness of the country as a whole. We use a two-stage approach: First, LLINs from recent national net campaigns will be evaluated retrospectively in 3,420 households. Those households will receive one of three leading LLIN products at random (Olyset®, PermaNet®2.0 or Netprotect®) and will be followed up for three years in a prospective study to compare their performance under user conditions. LLIN durability will be evaluated by measuring Attrition (the rate at which nets are discarded by households), Bioefficacy (the insecticidal efficacy of the nets measured by knock-down and mortality of mosquitoes), Chemical content (g/kg of insecticide available in net fibres) and physical Degradation (size and location of holes). In addition, we will extend the current national mosquito insecticide Resistance monitoring program to additional districts and use these data sets to provide GIS maps for use in health surveillance and decision making by the National Malaria Control Program (NMCP).
The data will be of importance to policy makers and vector control specialists both in Tanzania and the SSA region to inform best practice for the maintenance of high and cost-effective coverage and to maximise current health gains in malaria control.
- Long-lasting insecticidal nets
- Mosquito net
- Hole index
- Biological efficacy
- Malaria control
- Insecticide resistance
The recent successes in malaria control in sub-Saharan Africa (SSA), specifically in Tanzania where malaria deaths have reduced by 70% since 2003, has been largely attributable to the massive scale up of vector control tools, particularly Long Lasting Insecticidal Nets (LLINs) [1–3]. However, sustained malaria control is costly, and dependent on continuing political and donor support. As political commitment diminishes, the deliveries of life-saving control tools will slow down and risk the reversal of the huge achievements to date. Global commitments for malaria control in 2012 were approximately US$2.5 billion, far below the estimated sum of US$5.1 billion required for the task . Global funding mechanisms are projected to decelerate even further in the coming years, leaving gaps of US$2.25 billion before achieving universal access to malaria interventions . Therefore, maximising the impact of interventions through selection of the most cost effective and long lasting interventions is a health policy priority.
Despite the huge financial and logistical investments in the development, production and distribution of LLINs worldwide, there are still limited data available on the LLIN durability under user conditions. The World Health Organization (WHO) released specific guidance on LLIN durability monitoring [5, 6], which was incorporated into guidelines for laboratory and field-testing of LLINs  to support national governments with the design of standardised net monitoring and evaluation studies. Effective net life has been estimated to be 3-5 years , but some studies indicate that LLIN brands may last less than three years under operational conditions [9–12]. It is only recently that researchers have started to investigate net attrition, i.e. how long nets remain in use in a household, and constructed net survivorship curves [5, 13]. Durability of mosquito nets should thus be defined and measured by the whole process of net loss – from attrition and physical damage to the chemical loss of insecticide residue .
Net deterioration differs greatly between regions or cultures as care and repair behaviours, maintenance and net use vary from place to place. Thus, nation-wide evaluations of LLINs are required and called for by the WHO [6, 14]. Evaluation of PermaNet®2.0 retrieved from six countries  and Olyset® nets from seven countries  show large between-country variability of LLIN durability. Net products also vary in material, insecticide, or fibre impregnation technology. Such variations are still largely unknown and direct comparisons within sites are scarce  (but see [9, 11, 18]). Reliable data need to be collected by National Malaria Control Programs (NMCPs) to inform national procurement decisions for 1) selection of the most suitable net to plan timely replacement, 2) to understand factors associated with net durability to guide behaviour change communication including care and repair interventions, and 3) to assist industry in product improvement. NMCPs need to understand LLIN durability in their local settings because replacing nets too late puts people at risk of disease, but replacing them too often wastes limited resources.
Also, the dramatic increase in pyrethroid resistance in mosquitoes throughout SSA, including Tanzania , might be posing a threat to the sustainability of insecticidal control methods [20, 21]. A surveillance system to monitor emerging insecticide resistance, for example using Geographical Information Systems (GIS) [22, 23], would allow governments and national malaria control programmes to plan resistance control strategies . Spatio-temporal analysis of malaria transmission to identify persistent transmission hotspots may maximise cost- and health-effectiveness of control programmes . The determinants and risk factors for net loss and effectiveness vary spatially, but there is a lack of information of which factors play a role in the attrition and deterioration of LLINs.
LLIN durability components
Response variables for analysis
Net loss from household through discarding or use for alternative purpose
- Net presence.
Ability of net to incapacitate or kill anopheline mosquitoes after contact with insecticide
- Mosquito knockdown (%) 60 minutes post-exposure.
- Mosquito mortality (%) 24 hours post-exposure.
- Percentage of bloodfed mosquitoes.
Amount of active ingredient in fibres
- Proportion of nets with active ingredient equal to WHO standard g/kg
Physical state of the net defined through number, size and location of holes to estimate protection against mosquito bites
- Proportionate Hole Index (pHI) / hole area by location on net.
- Proportion of nets with a pHI exceeding ≥643 .
Characteristics of Olyset ® , PermaNet ® 2.0 and Netprotect ® net products distributed in the study
Permethrin incorporated into polyethylene
Deltamethrin coated on polyester
Deltamethrin incorporated into polyethylene
As a consequence of using LLIN products from different materials (Table 2), the nets may be able to be distinguished physically. However, each net type will be rectangular, of the same dimensions (190 cm x 180 cm x 150 cm) and colour (white) with six loops per net to prevent household participants, technical staff and field team from knowing the treatment allocation as much as possible. A waterproof unique identifying barcode and a five-digit serial number will be attached to each distributed LLIN with a self-laminating laser tag to a hanging loop of the net. This will allow tracking of the nets once they are distributed. The field team will record the net serial number on the questionnaire as the net is distributed to allow the matching up of household and unique net identifying numbers on the net master list.
The general study design is shown in a flow chart in Figure 1. One week before the start of the study, a sensitisation meeting will be set up at the district level to inform community leaders (Mwenyekiti and Viongozi), key informants, District Executive Directors (DEDs) and District Medical Officers (DMOs) of the purpose and design of the study. Their permission to work within the community will be sought to inform the community members of the study’s objectives and methods.
Households allocated to each net product per village and district in the prospective study
Villages per district*
Households per village
A questionnaire will be conducted in Kiswahili, the local language spoken throughout Tanzania, with household heads, or another adult, by the field team (Additional file 2). Respondents will be asked whether they received nets during two NMCP campaigns in 2009-2011. Nets from the campaigns are identifiable by their light-blue colour and size (single), allowing us to differentiate those nets from the campaign and those that might have come from the private sector or Non-Governmental Organisations (NGOs). We will individually assess every net returned to the storage facilities at Bagamoyo Research and Training Centre (BRTC) for its brand label, colour, size, level of cleanliness, and age of manufacture, if available. From those retrospective nets, 200 Olyset® campaign nets will be randomly selected using the ‘sample’ function in R 3.1.1 for durability testing in the laboratory and semi-field systems (Figure 1; Table 1). All other collected Olyset® nets will be recycled by A to Z Textile Mills Ltd (http://www.azpfl.com/index.php/en/).
Attrition, net use and user behaviour (Additional file 2), and physical degradation of study nets will be assessed in every consenting household at three subsequent sampling points (10, 22, and 36 months) after the initial LLIN distribution. All households will be surveyed for attrition and a sub-sample of three nets per household will be assessed for physical degradation. Field interviewers will be trained using an amended version of a recently developed USAID/NetWorks-supported training tool kit to assess the number of different category sized holes under field conditions .
At each time point, all nets from 48 randomly selected households for each net product will be taken for sub-sampling to validate the D component (physical degradation) assessment in the laboratory, and for B (biological efficacy against mosquitoes) and C (HPLC analysis) components efficacy testing (Figure 1). These households will be randomly selected stratified by district and LLIN product so that six nets from each district per product are evaluated for BCD components. All sampled nets will be replaced with new nets of the same kind except for Netprotect® nets which will be replaced by Olyset®, and the sampled household will be excluded from subsequent sampling rounds.
Attrition (A component)
Attrition of LLINs is defined as the proportion of LLINs that are no longer in use as mosquito nets to sleep under in the receiving household after a given amount of time. This is commonly due to loss through nets being damaged, discarded, or used for other purposes than sleeping under. Nets that are sold, given away or stolen will be excluded from the attrition analysis following WHO guidelines  as they may still be “serviceable”.
Trained field interviewers will perform the field visits of all households selected from the master list and voluntarily participating in the study during the sampling points (retrospective sampling, 10, 22 and 36 months after prospective LLIN distribution). Questionnaire data will be collected using Open Data Kit (ODK) Collect software (http://opendatakit.org/use/collect/) on Android tablet computers (Google Nexus One). Observations by the field workers on presence and absence of distributed nets, the location of the net (hanging or stored away), fabric integrity and the net condition are included in the questionnaire (Additional file 2).
Physical degradation (D component)
Hole size categories and their proportionate weights
Hole size description
Hole size (cm)
Hole diameter (cm)
Smaller than a thumb (finger)
Larger than a thumb but smaller than fist (hand)
Larger than a fist but smaller than a head (head)
Larger than a head
Biological efficacy (B Component)
Testing will be performed at BRTC, Bagamoyo, Tanzania using An. gambiae sensu stricto (s.s.) (Ifakara strain, Njage 1996) mosquitoes that are fully susceptible to insecticides and are reared according to CDC guidelines . Mosquitoes used for testing will be 2-8 days old (depending on the test), nulliparous sugar fed females. Standard WHO cone bioassays will be carried out to evaluate new nets at baseline (ten samples per net product), 200 retrospective Olyset® nets, and a random sub-sample of 48 prospective nets per time point. WHO tunnel tests will be performed if nets fail the cone test [7, 37]. To validate these WHO recommended bioassays and help to estimate fully the protection provided by nets under user conditions, those 48 nets will first be tested in a semi-field tunnel (SFT) – the newly developed Ifakara Tunnel Test (ITT) - to measure the protective efficacy of the nets to people resting underneath them . For the WHO tunnel test and ITT, only those mosquitoes that are responsive to human odour on the day of testing will be used. For semi-field tests, mosquitoes will be deprived of sugar solution for six hours prior to experiments and transferred to a screened test cage one hour prior to testing to allow them to acclimatise.
Ifakara tunnel test (ITT)
A semi-field enclosure is here defined as an enclosed environment, ideally situated within the natural ecosystem of the target disease vector and exposed to ambient environmental conditions. Semi-field enclosures offer several useful features: 1) participants are safe because they are exposed only to laboratory-reared disease-free mosquitoes, 2) experiments can be run using standard numbers of mosquitoes allowing year round collections regardless of natural vector populations, and 3) using mosquitoes of known age, physiological status and avidity reduces experimental variability allowing for rapid data collection and improved data quality.
Each of the ten experimental compartments will be provided with a steel bed frame and foam mattress upon which a volunteer will sleep during each test and over which the LLIN will be draped (Figure 4C). A human volunteer will sleep beneath the LLIN from 21.00 hrs to 06.00 hrs to represent user conditions. For each test, 30 nulliparous 2-8 day old, disease-free An. gambiae s.s. mosquitoes will be introduced. At 06.00 hrs, the mosquitoes within the compartment will be collected using a mechanical aspirator (Prokopack; ) and scored for knockdown (KD), 24-hour mortality and blood-feeding success.
All participants in ITT experiments will be male staff members of IHI who have received appropriate training and are experienced in conducting semi-field tunnel tests. All participants will be recruited on written informed consent, which explains the risks and benefits of the study and are free to leave the study without explanation. The risk of disease transmission to volunteers is very low.
Chemical residue (C Component)
After biological efficacy and physical degradation testing in semi-field facilities in Bagamoyo has taken place, the same 48 LLINs per product will be used for chemical residue analysis. Chemical residues will be determined by HPLC . The HPLC analysis will be carried out in a WHO Collaborating Centre for Quality Control of Pesticides (Walloon Agricultural Research Centre; CRA-W) following the latest WHO recommendations. Four sub-samples of 30 cm x 30 cm will be taken from each net representing the entire net. Samples will be kept at 4°C in aluminium foil until analysed to determine the total content of permethrin (Olyset®) or deltamethrin (Netprotect® and PermaNet®2.0) in g/kg.
Resistance monitoring (R Component)
The resistance monitoring component builds upon the existing nationwide longitudinal monitoring of insecticide resistance in Tanzania that has already been carried out in 26 selected sentinel districts from different ecological zones of Tanzania . In the current study, insecticide resistance will be assessed in a total of 15 districts (Figure 2). Eight of these districts coincide with the ABCD part of the project. Insecticide resistance will be monitored in cross-sectional countrywide surveys conducted annually throughout the project life. These surveys will be carried out in May/June, just after the long rainy season. The susceptibility levels and resistance mechanisms of malaria vectors to insecticides of public health and agricultural relevance in Tanzania will be determined. Results will feed into the online geospatial application IR Mapper . Anopheles larvae will be collected in easily accessible larval habitats in one or two villages per district. Each breeding site will be geo-referenced using GPS. Larvae will be bred to adult mosquitoes in field laboratories, which will be maintained on 10% glucose solution in mosquito cages. Three- to five-day old F1 generation mosquitoes will be tested using standard WHO insecticide susceptibility testing procedures . Mosquitoes will be exposed to papers impregnated with the WHO-recommended discriminating concentrations (v⁄w) of 0.05% deltamethrin, 0.05% lambda-cyhalothrin, 0.75% permethrin, 0.1% bendiocarb, 1% fenitrothion and 4% DDT prepared at University Sains, Malaysia . During exposure, KD rates will be recorded after a range of exposure times. Mosquitoes will then be provided access to 10% glucose solution and 24 hour mortality will be scored. All mosquitoes will be identified using keys described by Gillies [43, 44] and An. gambiae sibling species identified using established Polymerase Chain Reaction (PCR)-based methods . PCR-based standard methods will also be used to detect kdr mutations  and biochemical assays will be used to detect the enzyme-based resistance mechanisms in mosquitoes.
Statistics and data analysis
Sample size calculation
Sample size calculations were based on the primary outcome measure of net attrition using the standard formula for the difference between two proportions . The BCD components were treated as an additional sub-sample to the original calculated sample size. Assuming an average of 3 nets per household and a coefficient of variation of 0.25, then the formula on page 110 of Hayes & Moulton  gives a sample size of 973 households per arm to detect a difference in attrition between two brands with attrition rates of 47.5% and 52.5% with 90% power. Therefore, there will be at least 90% power to detect a 5% difference in attrition rates. Loss to follow up and households excluded due to sub-sampling have been added to the final sample size to give (1,140 households * 3 nets/ household) = 3,420 LLINs per LLIN product (Table 3).
We will collect a set of response variables (Table 1) and explanatory variables. The explanatory variables will be collected from household questionnaires and observations and will include time after net distribution, net product, geographical location, patterns of net use (e.g. type of bed, frequency of net use), net status, washing and handling, perceptions of nets and socioeconomic status of the household. All response variables will be analysed using the statistical programs STATA®13 (http://www.stata.com/) and R (http://www.R-project.org/). Regression modelling including multivariate generalised linear models and generalised linear mixed models will be used to determine covariates affecting net durability components such as LLIN age, geographical location and data collected from household surveys. Principal Component Analysis (PCA) will be used to determine a combination of variables for socioeconomic status to explain the overall observed variation and reduce the complexity of the data. In order to analyse net attrition and physical degradation in more detail, 95% confidence intervals will be calculated for the attrition and ‘unserviceable’ physical condition of each net product at the three prospective time points. At each point, logistic regression with a category for each brand of net will be performed to assess if there is a difference in attrition between the three net products. If a significant difference is found, then pairwise comparisons will be examined.
Full ethical approval has been obtained from ethical review committees at London School of Hygiene & Tropical Medicine (6333/A443), Ifakara Health Institute (IHI/IRB/AMM/ No: 07- 2014) and the National Institute for Medical Research (NIMR/HQ/R.8c/Vol. I/285).
Written informed consent will be obtained from the head of the household of those households selected for participation (Additional file 1). If absent, another adult household member (above the age of 18) representing the household head will sign the informed consent form. The informed consent will be obtained before each survey. For participants who cannot read the form, the informed consent form will be read out and explained by the local field staff in Kiswahili or the local language in the presence of a community witness. After consenting, the household head, or his representative, will be asked to mark a thumb impression on the form, and the witness will be asked to sign it. The potential participants will be advised that they can refuse to participate at any point in the future and may still keep their new net.
In addition to following WHO durability guidelines , which will allow direct comparison between our study and other ongoing durability investigations in SSA, we are also developing new methodologies to fully assess to what extent physical degradation, chemical decay and biological efficacy actually determine the life of a net, i.e. the duration of its effective protection. LLINs act as a barrier against blood-feeding of anopheline mosquitoes on humans. We will determine the effectiveness of nets as transmission barriers by testing the whole net from the field protecting humans throughout the night against mosquito bites in semi-field Ifakara Tunnel Tests (ITT). This will give us a strong measure of the individual protective efficacy against human biting behaviour. In addition, it will allow us to estimate the mortality of mosquitoes exposed to LLINs under more natural conditions, a methodology that is commonly performed in experimental huts . However, the ITT is designed to increase both data throughput and data power because it evaluates eight nets and two controls per night using mosquitoes of identical physiological status. In addition, the same number of mosquitoes can be released into each of the compartments so that the effect of the efficacy of the nets is measured in the same way in each compartment. In contrast, field tests require far greater numbers of replicates to achieve good statistical power due to both spatial and temporal heterogeneities in mosquito numbers . We will also determine the WHO-recommended hole index (pHI) by location on the net, with the potential of influencing further net product design with strengthened material in the bottom quarter of the net.
National and international public health policy makers may therefore use the information provided by this, and other ongoing studies, to procure the most cost- and health-effective nets. Results will allow the selection of nets that provide protection against disease at optimum costs (trading off LLIN durability, price and insecticide resistance status of local mosquito populations), and to estimate the timing of repeated distribution campaigns to ensure that maximal health gains are maintained.
At the time of submission of this manuscript (December 2014), the study had completed the retrospective data collection and random distribution of the three new LLIN products, the establishment of the return net data base, and the prospective household survey after 10 months.
We thank the Global Health and Vaccination Research (GLOBVAC) program of the Research Council of Norway for funding this project (Project no. 220757). We acknowledge the LLIN manufacturers Sumitomo Chemical (Olyset®), Vestergaard Frandsen (PermaNet®) and BestNet (Netprotect®) for their donation of the LLINs free of charge. We thank NIMR for permission to publish this work. We would like to sincerely thank Dr Jo Lines (LSHTM), Dr Rose Nathan (IHI) and Dr Albert Kilian for their continued support and advice.
- WHO: World Malaria Report 2013. 2013, Geneva: World Health OrganizationGoogle Scholar
- Mtove G, Amos B, Nadjm B, Hendriksen IC, Dondorp AM, Mwambuli A, Kim DR, Ochiai RL, Clemens JD, von Seidlein L, Reyburn H, Deen J: Decreasing incidence of severe malaria and community-acquired bacteraemia among hospitalized children in Muheza, north-eastern Tanzania, 2006-2010. Malaria J. 2011, 10: 320-10.1186/1475-2875-10-320.View ArticleGoogle Scholar
- Lim SS, Fullman N, Stokes A, Ravishankar N, Masiye F, Murray CJ, Gakidou E: Net benefits: A multicountry analysis of observational data examining associations between insecticide-treated mosquito nets and health outcomes. PLoS Med. 2011, 8: e1001091-10.1371/journal.pmed.1001091.View ArticlePubMedPubMed CentralGoogle Scholar
- RBM: The Global Malaria Action Plan for a malaria free world. 2008, Geneva: World Health OrganizationGoogle Scholar
- WHO: Guidelines for monitoring the durability of long-lasting insecticidal mosquito nets under operational conditions. 2011, Geneva: World Health OrganizationGoogle Scholar
- Vector Control Technical Expert Group: Estimating functional survival of long-lasting insecticidal nets from field data. Report to MPAC September 2013. 2013, Geneva: World Health OrganizationGoogle Scholar
- WHO: Guidelines for laboratory and field-testing of long-lasting insecticidal nets. 2013, Geneva: World Health OrganizationGoogle Scholar
- WHO: LLIN for malaria prevention Trial Edition: A manual for malaria programme managers. 2007, Geneva: World Health OrganizationGoogle Scholar
- Allan R, O’Reilly L, Gilbos V, Kilian A: An Observational Study of Material Durability of Three World Health Organization-Recommended Long-Lasting Insecticidal Nets in Eastern Chad. Am J Trop Med Hyg. 2012, 87: 407-411. 10.4269/ajtmh.2012.11-0331.View ArticlePubMedPubMed CentralGoogle Scholar
- Batisso E, Habte T, Tesfaye G, Getachew D, Tekalegne A, Kilian A, Mpeka B, Lynch C: A stitch in time: a cross-sectional survey looking at long lasting insecticide-treated bed net ownership, utilization and attrition in SNNPR. Ethiopia Malaria J. 2012, 11: 183-10.1186/1475-2875-11-183.View ArticleGoogle Scholar
- Hakizimana E, Cyubahiro B, Rukundo A, Kabayiza A, Mutabazi A, Beach R, Patel R, Tongren JE, Karema C: Monitoring long-lasting insecticidal net (LLIN) durability to validate net serviceable life assumptions, in Rwanda. Malaria J. 2014, 13: 344-10.1186/1475-2875-13-344.View ArticleGoogle Scholar
- Gnanguenon V, Azondekon R, Oke-Agbo F, Beach R, Akogbeto M: Durability assessment results suggest a serviceable life of two, rather than three, years for the current long-lasting insecticidal (mosquito) net (LLIN) intervention in Benin. BMC Infect Dis. 2014, 14: 69-10.1186/1471-2334-14-69.View ArticlePubMedPubMed CentralGoogle Scholar
- Hassan SE-DH, Malik EM, Okoued SI, Eltayeb EM: Retention and efficacy of long-lasting insecticide-treated nets distributed in eastern Sudan: a two-step community-based study. Malaria J. 2008, 7: 85-10.1186/1475-2875-7-85.View ArticleGoogle Scholar
- Picado A, Singh SP, Vanlerberghe V, Uranw S, Ostyn B, Kaur H, Das ML, Sundar S, Rijal S, Tungu P, Boelaert M, Rowland M: Residual activity and integrity of PermaNet (R) 2.0 after 24 months of household use in a community randomised trial of long lasting insecticidal nets against visceral leishmaniasis in India and Nepal. T Roy Soc Trop Med H. 2012, 106: 150-159. 10.1016/j.trstmh.2011.10.014.View ArticleGoogle Scholar
- WHO: Report of the twelfth WHOPES working group meeting. 2009, Geneva: World Health OrganizationGoogle Scholar
- WHO: Report of the thirteenth WHOPES working group meeting. 2009, Geneva: World Health OrganizationGoogle Scholar
- Kilian A: How long does a long-lasting insecticidal net last in the field?. Publ Health J. 2010, 21: 43-47.Google Scholar
- Mutuku FM, Khambira M, Bisanzio D, Mungai P, Mwanzo I, Muchiri EM, King CH, Kitron U: Physical condition and maintenance of mosquito bed nets in Kwale County, coastal Kenya. Malaria J. 2013, 12: 46-10.1186/1475-2875-12-46.View ArticleGoogle Scholar
- Matowo J, Jones CM, Kabula B, Ranson H, Steen K, Mosha F, Rowland M, Weetman D: Genetic basis of pyrethroid resistance in a population of Anopheles arabiensis, the primary malaria vector in Lower Moshi, north-eastern Tanzania. Parasite Vector. 2014, 7: 274-10.1186/1756-3305-7-274.View ArticleGoogle Scholar
- Ranson H, N’Guessan R, Lines J, Moiroux N, Nkuni Z, Corbel V: Pyrethroid resistance in African anopheline mosquitoes: what are the implications for malaria control?. Trends Parasitol. 2011, 27: 91-98. 10.1016/j.pt.2010.08.004.View ArticlePubMedGoogle Scholar
- Strode C, Donegan S, Garner P, Enayati AA, Hemingway J: The impact of pyrethroid resistance on the efficacy of insecticide-treated bed nets against African anopheline mosquitoes: systematic review and meta-analysis. PLoS Med. 2014, 11: e1001619-10.1371/journal.pmed.1001619.View ArticlePubMedPubMed CentralGoogle Scholar
- Kelly GC, Seng CM, Donald W, Taleo G, Nausien J, Batarii W, Iata H, Tanner M, Vestergaard LS, Clements ACA: A spatial decision support system for guiding focal indoor residual spraying interventions in a malaria elimination zone. Geospatial Health. 2011, 6: 21-31.View ArticlePubMedGoogle Scholar
- Knox TB, Juma EO, Ochomo EO, Pates Jamet H, Ndungo L, Chege P, Bayoh NM, N’Guessan R, Christian RN, Hunt RH, Coetzee M: An online tool for mapping insecticide resistance in major Anopheles vectors of human malaria parasites and review of resistance status for the Afrotropical region. Parasite Vectors. 2014, 7: 76-10.1186/1756-3305-7-76.View ArticleGoogle Scholar
- WHO Global Malaria Programme: The technical basis for coordinated action against insecticide resistance: preserving the effectiveness of modern malaria vector control. GMP Meeting Report. 2010, Geneva: World Health OrganizationGoogle Scholar
- Bonner K, Mwita A, McElroy PD, Omari S, Mzava A, Lengeler C, Kaspar N, Nathan R, Ngegba J, Mtung’e R, Brown N: Design, implementation and evaluation of a national campaign to distribute nine million free LLINs to children under five years of age in Tanzania. Malaria J. 2011, 10: 73-10.1186/1475-2875-10-73.View ArticleGoogle Scholar
- Kabadi GS, Geubbels E, Lyatuu I, Smithson P, Amaro R, Meku S, Schellenberg JA, Masanja H: Data resource profile: the sentinel panel of districts: Tanzania’s national platform for health impact evaluation. Int J Epidemiol. 2014, 1-8. doi:10.1093/ije/dyu223Google Scholar
- Tanzania Population and Housing Census: http://nbs.go.tz/tnada/index.php/ddibrowser/7/accesspolicy/?ajax=1&css=1,
- R: A language and environment for statistical computing: http://www.R-project.org,
- NBS: Tanzania HIV and Malaria Indicator Survey 2011-2012. 2012, Tanzania: National Bureau of StatisticsGoogle Scholar
- WHO: Report of the eleventh WHOPES Working Group Meeting. 2007, Geneva: World Health OrganizationGoogle Scholar
- WHO: Report of the seventeenth WHOPES working group meeting. 2014, Geneva: World Health OrganizationGoogle Scholar
- WHO: Report of the sixteenth WHOPES working group meeting. 2013, Geneva: World Health OrganizationGoogle Scholar
- Long Lasting Insecticidal Net Hole Assessment: http://goo.gl/rdeOgs,
- Sutcliffe JF, Yin S: Behavioural responses of females of two anopheline mosquito species to human-occupied, insecticide-treated and untreated bed nets. Malaria J. 2014, 13: 294-10.1186/1475-2875-13-294.View ArticleGoogle Scholar
- Lynd A, McCall PJ: Clustering of host-seeking activity of Anopheles gambiae mosquitoes at the top surface of a human-baited bed net. Malaria J. 2013, 12: 267-10.1186/1475-2875-12-267.View ArticleGoogle Scholar
- Benedict MQ: MR4 Methods in Anopheles Research. 2007, Atlanta: CDCGoogle Scholar
- Manual on development and use of FAO and WHO specifications for pesticides: http://apps.who.int/iris/bitstream/10665/44527/1/9251048576_eng_update3.pdf,
- Ogoma S, Ngonyani H, Simfukwe E, Mseka A, Moore J, Killeen G: Spatial repellency of transfluthrin-treated hessian strips against laboratory-reared Anopheles arabiensis mosquitoes in a semi-field tunnel cage. Parasite Vector. 2012, 5: 54-10.1186/1756-3305-5-54.View ArticleGoogle Scholar
- Maia MF, Robinson A, John A, Mgando J, Simfukwe E, Moore SJ: Comparison of the CDC Backpack aspirator and the Prokopack aspirator for sampling indoor- and outdoor-resting mosquitoes in southern Tanzania. Parasite Vector. 2011, 4: 124-10.1186/1756-3305-4-124.View ArticleGoogle Scholar
- Erlanger TE, Enayati AA, Hemingway J, Mshinda H, Tami A, Lengeler C: Field issues related to effectiveness of insecticide-treated nets in Tanzania. Med Vet Entomol. 2004, 18: 153-160. 10.1111/j.0269-283X.2004.00491.x.View ArticlePubMedGoogle Scholar
- Kabula B, Tungu P, Matowo J, Kitau J, Mweya C, Emidi B, Masue D, Sindato C, Malima R, Minja J, Msangi S, Njau R, Mosha F, Magesa S, Kisinza W: Susceptibility status of malaria vectors to insecticides commonly used for malaria control in Tanzania. Trop Med Int Health. 2012, 17: 742-750. 10.1111/j.1365-3156.2012.02986.x.View ArticlePubMedGoogle Scholar
- WHO: Test procedures for insecticide resistance monitoring in malaria vector mosquitoes. 2013, Geneva: World Health OrganizationGoogle Scholar
- Gillies MT, De Meillon B: Anophelinae of Africa South of Sahara (Ethiopian Zoogeographical region). 1968, Research TSAIfM: Johannesburg, 2Google Scholar
- Gillies MT, Coetzee MA: Supplement to the Anophelinae of Africa South of the Sahara (Afrotropical region). Publ S African Inst Med Res. 1987, 55: 143-Google Scholar
- Scott JA, Brogdon WG, Collins FH: Identification of single specimens of the Anopheles gambiae complex by the Polymerase Chain Reaction. Am J Trop Med Hyg. 1993, 49: 520-529.PubMedGoogle Scholar
- Martinez-Torres D, Chandre F, Williamson MS, Darriet F, Bergé JB, Devonshire AL, Guillet P, Pasteur N, Pauron D: Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s. Insect Mol Biol. 1998, 7: 179-184. 10.1046/j.1365-2583.1998.72062.x.View ArticlePubMedGoogle Scholar
- Rosner B: Hypothesis Testing: Categorical Data - Estimation of Sample Size and Power for Comparing Two Binomial Proportions. Fundamentals of Biostatistics. 2010, Boston: Brooks / Cole, 7Google Scholar
- Hayes RJ, Moulton LH: Cluster Randomised Trials. 2009, Boca Raton: Chapman and Hall/CRCView ArticleGoogle Scholar
- Tami A, Mubyazi G, Talbert A, Mshinda H, Duchon S, Lengeler C: Evaluation of Olyset insecticide-treated nets distributed seven years previously in Tanzania. Malaria J. 2004, 3: 19-10.1186/1475-2875-3-19.View ArticleGoogle Scholar
- Johnson PCD, Barry SE, Ferguson HM, Müller P: Power analysis for generalized linear mixed models in ecology and evolution. Methods Ecol Evol. 2014, doi: 10.1111/2041-210X.12306Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/14/1266/prepub
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