A5036967546- Malaria Research and Control
- COVID-19 epidemiological studies
- Mosquito-borne diseases and control
- Health disparities and outcomes
- Spatial and Panel Data Analysis
- Global Maternal and Child Health
- Cinema and Media Studies
- COVID-19 Digital Contact Tracing
- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Fish Ecology and Management Studies
- Global Health Care Issues
- Data-Driven Disease Surveillance
- Global Public Health Policies and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- Health Systems, Economic Evaluations, Quality of Life
- Machine Learning and Data Classification
- Genetic and phenotypic traits in livestock
- Viral Infections and Vectors
- Urban, Neighborhood, and Segregation Studies
- Climate Change and Health Impacts
- Digital Imaging for Blood Diseases
- Ichthyology and Marine Biology
- Bird parasitology and diseases
- Research on Leishmaniasis Studies
University of Leicester
2022-2025
University of Oxford
2017-2023
Open Data Institute
2017-2023
Imperial College London
2021-2022
Department of Medical Sciences
2022
Centre for Human Genetics
2020
Health Data Research UK
2020
Infectious Diseases Data Observatory
2019
University College London
2013-2017
Iowa State University
1969
Since 2000, the scale-up of malaria control interventions has substantially reduced morbidity and mortality caused by disease globally, fuelling bold aims for elimination. In tandem with increased availability geospatially resolved data, programmes increasingly use high-resolution maps to characterise spatially heterogeneous patterns risk thus efficiently target areas high burden.
Plasmodium vivax exacts a significant toll on health worldwide, yet few efforts to date have quantified the extent and temporal trends of its global distribution. Given challenges associated with proper diagnosis treatment P vivax, national malaria programmes-particularly those pursuing elimination strategies-require up assessments endemicity disease impact. This study presents first maps clinical burden from 2000 2017.In this spatial modelling study, we adjusted routine malariometric...
Knowledge of the three-dimensional movement patterns elasmobranchs is vital to understand their ecological roles and exposure anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses knowledge gap vertical movements by compiling first synthesis habitat use from data obtained deployment 989 biotelemetry tags 38 elasmobranch species. Elasmobranchs displayed high intra- interspecific variability in...
Abstract Machine learning has become popular in ecology but its use remained restricted to predicting, rather than understanding, the natural world. Many researchers consider machine algorithms be a black box. These models can, however, with careful examination, used inform our understanding of They are translucent boxes. Furthermore, interpretation these can an important step building confidence model or specific prediction from model. Here I review number techniques for interpreting at...
The Malaria Atlas Project (MAP) has worked to assemble and maintain a global open-access database of spatial malariometric data for over decade. This spans various formats topics, including: geo-located surveys malaria parasite rate; administrative boundary shapefiles; regional rasters representing the distribution associated illnesses, blood disorders, intervention coverage. MAP recently released malariaAtlas, an R package providing direct interface MAP's routinely-updated databases...
Abstract Due to the COVID-19 pandemic, many key neglected tropical disease (NTD) activities have been postponed. This hindrance comes at a time when NTDs are progressing towards their ambitious goals for 2030. Mathematical modelling on several NTDs, namely gambiense sleeping sickness, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiases (STH), trachoma, and visceral leishmaniasis, shows that impact of this disruption will vary across diseases. Programs face...
Abstract Emerging evidence suggests that contact tracing has had limited success in the UK reducing R number across COVID-19 pandemic. We investigate potential pitfalls and areas for improvement by extending an existing branching process model, adding diagnostic testing refining parameter estimates. Our results demonstrate reporting adherence are most important predictors of programme impact but coverage speed plus sensitivity also play role. conclude well-implemented could bring small...
Individual malaria infections can carry multiple strains of Plasmodium falciparum with varying levels relatedness. Yet, how local epidemiology affects the properties such mixed remains unclear. Here, we develop an enhanced method for strain deconvolution from genome sequencing data, which estimates number strains, their proportions, identity-by-descent (IBD) profiles and individual haplotypes. Applying it to Pf3k data set, find that rate infection varies 29% 63% across countries 51% involve...
Summary Wildlife monitoring technology is advancing rapidly and the use of remote sensors such as camera traps acoustic detectors becoming common in both terrestrial marine environments. Current methods to estimate abundance or density require individual recognition animals knowing distance animal from sensor, which often difficult. A method without these requirements, random encounter model (REM), has been successfully applied densities count data generated traps. However, do not fit...
The dynamics of immunity are crucial to understanding the long-term patterns SARS-CoV-2 pandemic. Several cases reinfection with have been documented 48-142 days after initial infection and seasonal circulating coronaviruses is estimated be shorter than 1 year. Using an age-structured, deterministic model, we explore potential using contact data from UK population. In scenario where lasts average three months for non-hospitalized individuals, a year hospitalized effective reproduction number...
Statistical approaches for inferring the spatial distribution of taxa (Species Distribution Models, SDMs) commonly rely on available occurrence data, which is often clumped and geographically restricted. Although SDM methods address some these factors, they could be more directly accurately modelled using a spatially-explicit approach. Software to fit models with autocorrelation parameters in SDMs are now widely available, but whether such aid predictions compared other methodologies...
Predictive models informed by theory may produce policy-relevant prediction of terrorism.
Children recovering from severe malarial anaemia (SMA) remain at high risk of readmission and death after discharge hospital. However, a recent trial found that post-discharge malaria chemoprevention (PDMC) with dihydroartemisinin-piperaquine reduces this risk. We developed mathematical model describing the daily incidence uncomplicated requiring among 0-5-year old children hospitalised SMA. fitted to multicentre clinical PDMC using Bayesian methods modelled potential impact across...
Abstract The rapid growth of species distribution modelling ( SDM ) as an ecological discipline has resulted in a large and diverse set methods software for constructing evaluating s. disjointed nature the current research environment hinders evaluation new methods, synthesis knowledge dissemination to users. zoon r package aims overcome these problems by providing modular framework reproducible workflows. modules are interoperable snippets code, each carrying method that combines into...
Abstract Background Anti-malarial drugs play a critical role in reducing malaria morbidity and mortality, but their is mediated by effectiveness. Effectiveness defined as the probability that an anti-malarial drug will successfully treat individual infected with parasites under routine health care delivery system. effectiveness (AmE) influenced resistance, quality, system patient adherence to use; its influence on burden varies through space time. Methods This study uses data from 232...
Abstract Background Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing environmental conditions. Identifying location-specific seasonality characteristics is useful for planning interventions. While most existing maps of malaria use fixed thresholds rainfall, temperature, and/or vegetation indices identify suitable transmission months, we construct a statistical modelling framework...
<title>Abstract</title> <bold>Background</bold> The P-STEP® (Personalised Space Technology Exercise Platform) app is designed to bring together tailored exercise guidance and up-to-date air quality information for patients with long term health conditions. allows individuals plan outdoor walking routes while minimising their exposure pollution. Individuals chronic long-term conditions, particularly respiratory cardiovascular can use the minimise risk of symptoms being worsened by pollution,...
A stochastic individual based model, SCHISTOX, has been developed for the study of schistosome transmission dynamics and impact control by mass drug administration. More novel aspects that can be investigated include level adherence access to treatment, multiple communities, human sex population dynamics, implementation a potential vaccine. Many model parameters have estimated within previous studies shown vary between such as age-specific contact rates governing age profiles infection....
Abstract Emerging evidence suggests that contact tracing has had limited success in the UK reducing R number across COVID-19 pandemic. We investigate potential pitfalls and areas for improvement by extending an existing branching process model, adding diagnostic testing refining parameter estimates. Our results demonstrate reporting adherence are most important predictors of programme impact but coverage speed plus sensitivity also play role. conclude well-implemented could bring small...
Contact tracing is an important tool for allowing countries to ease lockdown policies introduced combat SARS-CoV-2. For contact be effective, those with symptoms must self-report themselves while their contacts self-isolate when asked. However, such as legal enforcement of self-isolation can create trade-offs by dissuading individuals from self-reporting. We use existing branching process model examine which aspects adherence should prioritized. consider inverse relationship between and...
Abstract Disaggregation regression has become an important tool in spatial disease mapping for making fine‐scale predictions of risk from aggregated response data. By including high resolution covariate information and modeling the data generating process on a fine scale, it is hoped that these models can accurately learn relationships between covariates at scale. However, validating be challenge, as often there no observed this In study, disaggregation was performed simulated various...