Publications by authors named "Peter J Diggle"

Background: Chikungunya virus (CHIKV) is an arbovirus with a significant global public health burden. Delineating the specific contributions of individual behaviour, household, natural and built environment to CHIKV transmission is important for reducing risk in urban informal settlements but challenging due to their heterogeneous environments. The aim of this study was to quantify variation in CHIKV seroprevalence between and within four urban communities in a large Brazilian city, and identify the respective contributions of individual, household, and environmental factors for seropositivity.

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To explore how model-based geostatistics (MBG) could support trachoma elimination efforts, a technical consultation was held on March 4 and 5, 2024 by the Centre for Health Informatics, Computing, and Statistics at Lancaster University, United Kingdom, a WHO Collaborating Centre on Geostatistical Methods for Neglected Tropical Disease Research. The meeting aimed to foster collaboration for sharing insights on using MBG for decision-making; showcase its applications in assessing trachoma elimination status; address challenges, such as setting the probability threshold for elimination and resolving conflicts between survey and MBG evidence; and discuss considerations for integrating MBG into Tropical Data. Participants, including trachoma program managers, experts, academics, donors, and statisticians, reviewed MBG applications, discussed ongoing studies, identified knowledge gaps, and planned future work.

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There is a long-held hypothesis that multiple sclerosis (MS) affects the central nervous system in a length dependent way reflecting the propensity of longer central axonal projections to accumulate damage, but evidence for this is lacking. To determine the prevalence of body part involvement in MS and relate this to the putative axonal length innervating each body part, we asked people with MS to indicate affected body parts on a somatic diagram. Axonal length for each body part was calculated from neuroanatomical literature.

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Background: Snakebite is a priority neglected tropical disease, but incidence data are lacking; current estimates rely upon incomplete health facility reports or ad hoc surveys. Spatial analysis methods harness statistical associations between case incidence and spatially varying factors to improve estimates. This systematic review aimed to identify variables associated with snakebite risk in spatial and temporal analyses for inclusion in geospatial studies to improve risk estimation accuracy.

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Background: Snakebite envenoming is a medical emergency that requires rapid access to essential medicines and well-trained personnel. In resource-poor countries, mapping snakebite incidence can help policymakers to make evidence-based decisions for resource prioritisation. This study aimed to characterise the spatial variation in snakebite risk, and in particular to identify areas of relatively high and low risk, in Eastern Province, Rwanda.

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Article Synopsis
  • Soil-transmitted helminthiasis (STH) mainly affects impoverished areas, and this study uses model-based geostatistics to map disease risk and improve predictions of STH prevalence by incorporating remotely sensed data.
  • The research analyzes data from 1551 schools in Kenya, comparing geostatistical models with and without spatially referenced covariates to assess how well they predict STH prevalence classifications.
  • Results show that the model using covariates provided better accuracy in classifying districts and reduced uncertainty in predictions, highlighting the potential for enhanced control strategies for STH.
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Rats are major reservoirs for pathogenic , the bacteria causing leptospirosis, particularly in urban informal settlements. However, the impact of variation in rat abundance and pathogen shedding rates on spillover transmission to humans remains unclear. This study aimed to investigate how spatial variation in reservoir abundance and pathogen pressure affect spillover transmission to humans in a Brazilian urban informal settlement.

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  • Leptospirosis is a disease caused by Leptospira bacteria, and this study focuses on identifying factors linked to seropositivity for two specific serogroups in urban Brazil.
  • The research involved a cross-sectional study where blood samples from 2,808 residents in Salvador were analyzed to find associations between seropositivity and various demographic, socioeconomic, and environmental factors.
  • Findings revealed age, housing conditions, presence of cats, gender, work exposure, and sewage contact as significant risk factors for seropositivity to the respective serogroups Icterohaemorrhagiae and Cynopteri, highlighting distinct epidemiological patterns.
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Globally, there are over 1 billion people infected with soil-transmitted helminths (STHs), mostly living in marginalized settings with inadequate sanitation in sub-Saharan Africa and Southeast Asia. The World Health Organization recommends an integrated approach to STH morbidity control through improved access to sanitation and hygiene education and the delivery of preventive chemotherapy (PC) to school-age children delivered through schools. Progress of STH control programs is currently estimated using a baseline (pre-PC) school-based prevalence survey and then monitored using periodical school-based prevalence surveys, known as Impact Assessment Surveys (IAS).

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Article Synopsis
  • Mass drug administration (MDA) is essential for eliminating lymphatic filariasis (LF), and the rate of the population never treated (NT) significantly influences success.
  • *Using stochastic transmission models, the study explores acceptable NT levels needed to reach a 1% microfilaremia prevalence within 10 years under various treatment scenarios.
  • *Results indicate that in different transmission settings, maintaining low NT percentages while achieving at least 80% treatment coverage is crucial for effective elimination efforts.*
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Background: Control of schistosomiasis (SCH) relies on the regular distribution of preventive chemotherapy (PC) over many years. For the sake of sustainable SCH control, a decision must be made at some stage to scale down or stop PC. These "stopping decisions" are based on population surveys that assess whether infection levels are sufficiently low.

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The evident shedding of the SARS-CoV-2 RNA particles from infected individuals into the wastewater opened up a tantalizing array of possibilities for prediction of COVID-19 prevalence prior to symptomatic case identification through community testing. Many countries have therefore explored the use of wastewater metrics as a surveillance tool, replacing traditional direct measurement of prevalence with cost-effective approaches based on SARS-CoV-2 RNA concentrations in wastewater samples. Two important aspects in building prediction models are: time over which the prediction occurs and space for which the predicted case numbers is shown.

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Current WHO guidelines set prevalence thresholds below which a neglected tropical disease can be considered to have been eliminated as a public health problem, and specify how surveys to assess whether elimination has been achieved should be designed and analysed, based on classical survey sampling methods. In this paper, we describe an alternative approach based on geospatial statistical modelling. We first show the gains in efficiency that can be obtained by exploiting any spatial correlation in the underlying prevalence.

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Introduction: Leptospirosis is a globally distributed zoonotic and environmentally mediated disease that has emerged as a major health problem in urban slums in developing countries. Its aetiological agent is bacteria of the genus , which are mainly spread in the urine of infected rodents, especially in an environment where adequate sanitation facilities are lacking, and it is known that open sewers are key transmission sources of the disease. Therefore, we aim to evaluate the effectiveness of a simplified sewerage intervention in reducing the risk of exposure to contaminated environments and infection and to characterise the transmission mechanisms involved.

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Background: Leptospirosis is a zoonosis caused by pathogenic species of bacteria belonging to the genus . Most studies infer the epidemiological patterns of a single serogroup or aggregate all serogroups to estimate overall seropositivity, thus not exploring the risks of exposure to distinct serogroups. The present study aims to delineate the demographic, socioeconomic and environmental factors associated with seropositivity of serogroup Icterohaemorraghiae and serogroup Cynopteri in an urban high transmission setting for leptospirosis in Brazil.

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Background: Zoonotic spillover from animal reservoirs is responsible for a significant global public health burden, but the processes that promote spillover events are poorly understood in complex urban settings. Endemic transmission of , the agent of leptospirosis, in marginalised urban communities occurs through human exposure to an environment contaminated by bacteria shed in the urine of the rat reservoir. However, it is unclear to what extent transmission is driven by variation in the distribution of rats or by the dispersal of bacteria in rainwater runoff and overflow from open sewer systems.

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Rapid transmission of the SARS-CoV-2 Omicron variant has led to record-breaking case incidence rates around the world. Since May 2020, the REal-time Assessment of Community Transmission-1 (REACT-1) study tracked the spread of SARS-CoV-2 infection in England through RT-PCR of self-administered throat and nose swabs from randomly-selected participants aged 5 years and over. In January 2022, we found an overall weighted prevalence of 4.

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Background: The Omicron wave of COVID-19 in England peaked in January 2022 resulting from the rapid transmission of the Omicron BA.1 variant. We investigate the spread and dynamics of the SARS-CoV-2 epidemic in the population of England during February 2022, by region, age and main SARS-CoV-2 sub-lineage.

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Synanthropic rodents are ubiquitous in low-income communities and pose risks for human health, as they are generally resistant to control programs. However, few or no studies have evaluated the long-term effect of chemical and infrastructural interventions on rodent population dynamics, especially in urban low-income communities, or evaluated the potential recovery of their population following interventions. We conducted a longitudinal study in a low-income community in the city of Salvador (BA, Brazil) to characterize the effect of interventions (chemical and infrastructural) on the dynamics of rodent population, and documented the post-intervention recovery of their population.

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We present as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set of principles for future pandemic preparedness, through the joint design and deployment of adaptable systems of statistical models for disease surveillance using probabilistic reasoning. We illustrate this through case studies for inferring and characterising spatial-temporal prevalence and reproduction numbers of SARS-CoV-2 infections in England.

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Rapid transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has led to record-breaking incidence rates around the world. The Real-time Assessment of Community Transmission-1 (REACT-1) study has tracked SARS-CoV-2 infection in England using reverse transcription polymerase chain reaction (RT-PCR) results from self-administered throat and nose swabs from randomly selected participants aged 5 years and older approximately monthly from May 2020 to March 2022. Weighted prevalence in March 2022 was the highest recorded in REACT-1 at 6.

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Background: Prevalence of SARS-CoV-2 infection with Delta variant was increasing in England in late summer 2021 among children aged 5 to 17 years, and adults who had received two vaccine doses. In September 2021, a third (booster) dose was offered to vaccinated adults aged 50 years and over, vulnerable adults and healthcare/care-home workers, and a single vaccine dose already offered to 16 and 17 year-olds was extended to children aged 12 to 15 years.

Methods: SARS-CoV-2 community prevalence in England was available from self-administered throat and nose swabs using reverse transcriptase polymerase chain reaction (RT-PCR) in round 13 (24 June to 12 July 2021, = 98,233), round 14 (9 to 27 September 2021,  = 100,527) and round 15 (19 October to 5 November 2021,  = 100,112) from the REACT-1 study randomised community surveys.

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Typhoid fever is a major cause of illness and mortality in low- and middle-income settings. We investigated the association of typhoid fever and rainfall in Blantyre, Malawi, where multi-drug-resistant typhoid has been transmitting since 2011. Peak rainfall preceded the peak in typhoid fever by approximately 15 weeks [95% confidence interval (CI) 13.

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