A5027558080- Malaria Research and Control
- Mosquito-borne diseases and control
- COVID-19 epidemiological studies
- Child Nutrition and Water Access
- Global Maternal and Child Health
- Bird parasitology and diseases
- Data-Driven Disease Surveillance
- Travel-related health issues
- Poverty, Education, and Child Welfare
- Digital Imaging for Blood Diseases
- Climate Change and Health Impacts
- Metabolomics and Mass Spectrometry Studies
- Vector-borne infectious diseases
- Primate Behavior and Ecology
- Veterinary Practice and Education Studies
- Sepsis Diagnosis and Treatment
- Pneumonia and Respiratory Infections
- Urban Transport and Accessibility
- Statistical Methods and Bayesian Inference
- Asthma and respiratory diseases
- Parasites and Host Interactions
- Global Health and Epidemiology
- Indoor Air Quality and Microbial Exposure
- Health disparities and outcomes
- Obesity, Physical Activity, Diet
King's College London
2025
London School of Hygiene & Tropical Medicine
2022-2024
University of London
2023
University of Oxford
2019-2021
Perth Children's Hospital
2020-2021
The Kids Research Institute Australia
2020-2021
Princess Margaret Hospital for Children
2020-2021
Open Data Institute
2020-2021
Infectious Diseases Data Observatory
2019
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...
SummaryBackgroundSubstantial progress has been made in reducing the burden of malaria Africa since 2000, but those gains could be jeopardised if COVID-19 pandemic affects availability key control interventions. The aim this study was to evaluate plausible effects on incidence and mortality under different levels disruption control.MethodsUsing an established set spatiotemporal Bayesian geostatistical models, we generated geospatial estimates across malaria-endemic African countries clinical...
Abstract Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series ITN coverage has never been published. Using data from multiple sources, we generate high-resolution maps access, use, nets-per-capita annually 2000 to 2020 across 40 highest-burden African countries. Our findings support several existing hypotheses: that use is high among those with discarded more quickly than official policy presumes,...
Abstract Background Leptospirosis is an underdiagnosed infectious disease with non-specific clinical presentation that requires laboratory confirmation for diagnosis. The serologic reference standard remains the microscopic agglutination test (MAT) on paired serum samples. However, reported estimates of MAT’s sensitivity vary. We evaluated accuracy four index tests, MAT samples as well alternative standards leptospirosis diagnosis: single acute-phase samples, polymerase chain reaction (PCR)...
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...
Abstract Malaria transmission in Madagascar is highly heterogeneous, exhibiting spatial, seasonal and long-term trends. Previous efforts to map malaria risk used prevalence data from Indicator Surveys. These cross-sectional surveys, conducted during the high season most recently 2013 2016, provide nationally representative but cover relatively short time frames. Conversely, monthly case are collected at health facilities suffer biases, including incomplete reporting low rates of treatment...
Abstract Background Latent class models are increasingly used to estimate the sensitivity and specificity of diagnostic tests in absence a gold standard, commonly fitted using Bayesian methods. These allow us account for ‘conditional dependence’ between two or more tests, meaning that results from correlated even after conditioning on person’s true disease status. The challenge is it not always clear researchers whether conditional dependence exists all just some latent classes. Despite...
Abstract Background Neonatal mortality in India has fallen steadily and was estimated to be 24 per 1000 live births the year 2017. However, neonatal remains high rural parts of country. The Community Health Promotion Medical Provision Impact On Neonates (CHAMPION2) trial investigates effect a complex health intervention on Satna District Madhya Pradesh. Methods/design CHAMPION2 forms one part cluster-randomised controlled with villages (clusters) randomised receive either or education...
Maps of disease burden are a core tool needed for the control and elimination malaria. Reliable routine surveillance data malaria incidence, typically aggregated to administrative units, is becoming more widely available. Disaggregation regression an important model framework estimating high resolution risk maps from data. However, aggregation incidence over large, heterogeneous areas means that these underpowered complex, non-linear models. In contrast, prevalence point-surveys directly...
Abstract Aim The distribution of Yersinia pestis , the pathogen that causes plague in humans, is reliant upon transmission between host species; however, degree to which species distributions dictate Y. compared with limitations imposed by environmental niche per se, debated. We test whether present‐day differs its native range and an invaded biotic factors (host distributions) can explain observed discrepancies. Location North America Central Asia. Major taxa studied . Methods use models...
Summary As malaria incidence decreases and more countries move towards elimination, maps of risk in low prevalence areas are increasingly needed. For burden areas, disaggregation regression models have been developed to estimate at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons. However, with both data surveys, that make use the information point-surveys great potential. Using case studies Indonesia, Senegal Madagascar, we compare two...
<title>Abstract</title> <bold>Background</bold> Neonatal mortality in India has fallen steadily and was estimated to be 24 per 1000 live births the year 2017. However, neonatal remains high rural parts of country. The Community Health Promotion Medical Provision Impact On Neonates (CHAMPION2) trial investigates effect a complex health intervention on Satna District Madhya Pradesh. <bold>Methods/design</bold> CHAMPION2 forms one part cluster-randomised controlled with villages (clusters)...
India has made steady progress in improving rates of primary school enrolment but levels learning achievement remain low. The Support To Rural India's Public Education System (STRIPES) trial provided evidence that an after-school para-teacher intervention improved numeracy and literacy Telangana, India. STRIPES2 investigates whether such will have a similar effect on the age children Satna District Madhya Pradesh, India.The forms one part cluster-randomised controlled with villages...