Publications by authors named "E J Nightingale"

Unlabelled: Urgent improvements in the diagnosis and management of infection are required to reach End TB goals. Conventional interferon-gamma release assays (IGRAs), such as QuantiFERON-TB Gold Plus (QFT-Plus), require substantial laboratory infrastructure and large blood volumes, limiting use in high-burden settings. The QIAreach QuantiFERON-TB (QIAreach QFT) was developed to overcome these challenges but has not previously been evaluated in field conditions in a low-income, high-burden country, or at scale in children.

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Introduction: Decentralized COVID-19 testing with antigen rapid diagnostic tests (Ag-RDT) is recommended by the Nigerian Centre for Disease Control for community-level services. These services have been provided in Primary Healthcare Centers, Community Pharmacies, and licensed "Patent Medicine Stores" that serve the least affluent communities. To support quality assurance, we applied an adapted version of SPI-RT (Stepwise Process for Improving the Quality of HIV Rapid and Recency Testing) to sites providing COVID-19-RDTs in Federal Capital Territory of Nigeria.

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Article Synopsis
  • The study analyzes the effectiveness of monitoring visceral leishmaniasis (VL) on a village level in Bihar, India, highlighting challenges with resource-intensive surveillance as cases decline.
  • The researchers tested a statistical method to estimate VL incidence at the village level from block-level data, finding that this approach didn't provide more accurate estimates than assuming uniformity within blocks.
  • The findings suggest that while reactive interventions may not be effective for neighboring villages, maintaining surveillance in areas at risk of population movement could help prevent the spread of VL into currently unaffected areas.
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In this contribution, we applied a multi-stage machine learning (ML) framework to map daily values of nitrogen dioxide (NO) and particulate matter (PM and PM) at a 1 km resolution over Great Britain for the period 2003-2021. The process combined ground monitoring observations, satellite-derived products, climate reanalyses and chemical transport model datasets, and traffic and land-use data. Each feature was harmonized to 1 km resolution and extracted at monitoring sites.

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Tuberculosis (TB) transmission and prevalence are dynamic over time, and heterogeneous within populations. Public health programmes therefore require up-to-date, accurate epidemiological data to appropriately allocate resources, target interventions, and track progress towards End TB goals. Current methods of TB surveillance often rely on case notifications, which are biased by access to healthcare, and TB disease prevalence surveys, which are highly resource-intensive, requiring many tens of thousands of people to be tested to identify high-risk groups or capture trends.

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