Surveillance systems in malaria endemic-countries are needed to capture information on intervention coverage and changes in malaria transmission, infection, and disease. Importanfiy, surveillance data must be effectively communicated to policy-makers to inform future intervention strategies. However, the capacity to conduct high-quality malaria surveillance is currenfiy inadequate in much of Africa and the existing health information system is insufficient for monitoring progress in malaria control. Data on vector behavior and transmission intensity are not roufinely collected. Morbidity and mortality data collected at health facilities may be biased and are often incomplete, inaccurate, and largely rely on clinical diagnosis in the absence of laboratory confirmation. Community surveys are currenfiy the most robust strategy for malaria surveillance, but are expensive and logistically challenging, conducted infrequently with limited geographic coverage, and not comprehensive enough to fully capture the dynamics of transmission, infecfion, and disease. Identifying the opfimal methods of gathering reliable data for roufine malaria surveillance is essenfial for improving our understanding of malaria epidemiology and providing an evidence base for maximizing the impact of control intervenfions. For this project comprehensive malaria surveillance studies will be conducted at 3 senfinel sites with widely varied epidemiology to collect data on measures of transmission intensity, infection and disease and identify opfimal methods for surveillance. Surveillance activities will then be streamlined and expand to 6 sentinel sites to measure the impact of key malaria control intervenfions on malaria transmission, infection, and disease.
Our specific aims will be: 1) to identify opfimal strategies for malaria surveillance in Uganda by comparing different methodologies at mulfiple sites with varied transmission intensity, 2) to estimate the impact of key malaria control interventions on measures of transmission intensity, infecfion, and disease using surveillance data at mulfiple sites in Uganda, and 3) to conduct an economic evaluation of malaria control interventions to identify the optimal coverage levels and mix of interventions at mulfiple sites in Uganda.
There is a lack of scientific understanding and knowledge of the opfimal approaches to routine malaria surveillancein Africa. The objectives of this project are to establish and validate simplified, reliable, and costeffecfive surveillance tools at various sites across Uganda. This work aims to inform the evaluation of malaria control efforts and to provide a model for malaria surveillance in other malaria endemic countries.
|Katrak, Shereen; Nayebare, Patience; Rek, John et al. (2018) Clinical consequences of submicroscopic malaria parasitaemia in Uganda. Malar J 17:67|
|Meerstein-Kessel, Lisette; Andolina, Chiara; Carrio, Elvira et al. (2018) A multiplex assay for the sensitive detection and quantification of male and female Plasmodium falciparum gametocytes. Malar J 17:441|
|Glennon, Elizabeth K K; Megawati, Dewi; Torrevillas, Brandi K et al. (2018) Elevated plasma abscisic acid is associated with asymptomatic falciparum malaria and with IgG-/caspase-1-dependent immunity in Plasmodium yoelii-infected mice. Sci Rep 8:8896|
|James, W H M; Tejedor-Garavito, N; Hanspal, S E et al. (2018) Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean. Sci Data 5:180090|
|Utazi, C Edson; Sahu, Sujit K; Atkinson, Peter M et al. (2018) Geographic coverage of demographic surveillance systems for characterising the drivers of childhood mortality in sub-Saharan Africa. BMJ Glob Health 3:e000611|
|Isaacs, Alison T; Mawejje, Henry D; Tomlinson, Sean et al. (2018) Genome-wide transcriptional analyses in Anopheles mosquitoes reveal an unexpected association between salivary gland gene expression and insecticide resistance. BMC Genomics 19:225|
|Wesolowski, Amy; Winter, Amy; Tatem, Andrew J et al. (2018) Measles outbreak risk in Pakistan: exploring the potential of combining vaccination coverage and incidence data with novel data-streams to strengthen control. Epidemiol Infect 146:1575-1583|
|Weetman, David; Wilding, Craig S; Neafsey, Daniel E et al. (2018) Candidate-gene based GWAS identifies reproducible DNA markers for metabolic pyrethroid resistance from standing genetic variation in East African Anopheles gambiae. Sci Rep 8:2920|
|Rodriguez-Barraquer, Isabel; Arinaitwe, Emmanuel; Jagannathan, Prasanna et al. (2018) Quantification of anti-parasite and anti-disease immunity to malaria as a function of age and exposure. Elife 7:|
|Nankabirwa, Joaniter I; Briggs, Jessica; Rek, John et al. (2018) Persistent parasitemia despite dramatic reduction in malaria incidence after 3 rounds of indoor residual spraying in Tororo, Uganda. J Infect Dis :|
Showing the most recent 10 out of 172 publications