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  • Journal article
    Geng L, Whittles LK, Dickens BL, Chio MTW, Chen Y, Tan RKJ, Ghani A, Lim JTet al., 2025,

    Correction: Potential public health impacts of gonorrhea vaccination programmes under declining incidences: a modeling study

    , PLoS Medicine, Vol: 22, ISSN: 1549-1277
  • Journal article
    Reed DM, Kuchukhidze S, Imai-Eaton JW, 2025,

    The Mexico City Policy, PEPFAR, and women's health

    , The Lancet HIV, Vol: 12, Pages: e246-e248, ISSN: 2352-3018
  • Journal article
    Miles V, Woodroffe R, Donnelly CA, Brotherton PNM, Ham C, Astley K, Aurelio J, Rowcliffe Met al., 2025,

    Evaluating camera-based methods for estimating badger (<i>Meles meles</i>) density: Implications for wildlife management ( vol 5, e12378, 2024)

    , ECOLOGICAL SOLUTIONS AND EVIDENCE, Vol: 6
  • Conference paper
    Hardy CSC, Bahr LE, Rothman AL, Anderson KB, Barba-Spaeth G, Weiskopf D, Ooi EE, Marques ETA, Bonsignori M, Barrett ADT, Kirkpatrick BD, Castanha PMS, Hamins-Puertolas M, Christofferson RC, Dimopoulos G, Oliveira F, Chiang LW, Ko AI, Gunale B, Kulkarni P, Perkins TA, Dorigatti I, Stewart T, Shaw J, Johansson MA, Thomas SJ, Waickman ATet al., 2025,

    Proceedings of the second annual dengue endgame summit: A call to action

    , Publisher: PUBLIC LIBRARY SCIENCE, ISSN: 1935-2735
  • Journal article
    Laufer Halpin A, Mathers AJ, Walsh TR, Zingg W, Okeke IN, McDonald LC, Elkins CA, Harbarth S, Peacock SJ, Srinivasan A, Bell M, Pittet D, Cardo D, 3rd Geneva Infection Prevention and Control Think Tanket al., 2025,

    A framework towards implementation of sequencing for antimicrobial-resistant and other health-care-associated pathogens.

    , Lancet Infect Dis, Vol: 25, Pages: e235-e244

    Antimicrobial resistance continues to be a growing threat globally, specifically in health-care settings in which antimicrobial-resistant pathogens cause a substantial proportion of health-care-associated infections (HAIs). Next-generation sequencing (NGS) and the analysis of the data produced therein (ie, bioinformatics) represent an opportunity to enhance our capacity to address these threats. The 3rd Geneva Infection Prevention and Control Think Tank brought together experts to identify gaps, propose solutions, and set priorities for the use of NGS for HAIs and antimicrobial-resistant pathogens. The major deliverable recommendation from this meeting was a proposed framework for implementing the sequencing of HAI pathogens, specifically those harbouring antimicrobial-resistance mechanisms. The key components of the proposed framework relate to wet laboratory quality, sequence data quality, database and tool selection, bioinformatic analyses, data sharing, and NGS data integration, to support public health and actions for infection prevention and control. In this Personal View we detail and discuss the framework in the context of global implementation, specifically in low-income and middle-income countries.
  • Journal article
    Horsfield ST, Fok BCT, Fu Y, Turner P, Lees JA, Croucher NJet al., 2025,

    Optimizing nanopore adaptive sampling for pneumococcal serotype surveillance in complex samples using the graph-based GNASTy algorithm

    , GENOME RESEARCH, Vol: 35, Pages: 1025-1040, ISSN: 1088-9051
  • Journal article
    Derelle R, Madon K, Hellewell J, Rodriguez-Bouza V, Arinaminpathy N, Lalvani A, Croucher NJ, Harris SR, Lees JA, Chindelevitch Let al., 2025,

    Reference-Free Variant Calling with Local Graph Construction with ska lo (SKA)

    , MOLECULAR BIOLOGY AND EVOLUTION, Vol: 42, ISSN: 0737-4038
  • Journal article
    Trotter C, Diallo K, 2025,

    Another step towards defeating meningitis

    , LANCET, Vol: 405, Pages: 1030-1031, ISSN: 0140-6736
  • Journal article
    Niamsi-Emalio Y, Nana-Djeunga HC, Fronterrè C, Shrestha H, NkoAyissi GB, Mpaba Minkat TM, Kamgno J, Basáñez M-Get al., 2025,

    Model-based geostatistical mapping of the prevalence of Onchocerca volvulus in Cameroon between 1971 and 2020

    , PLoS Neglected Tropical Diseases, Vol: 19, ISSN: 1935-2727

    BackgroundAfter the closure of the African Programme for Onchocerciasis Control (APOC) in 2015, the Ministry of Public Health of Cameroon has continued implementing annual community-directed treatment with ivermectin (CDTI) in endemic areas. The World Health Organization has proposed that 12 countries be verified for elimination (interruption) of transmission by 2030. Using Rapid Epidemiological Mapping of Onchocerciasis, a baseline geostatistical map of nodule (onchocercoma) prevalence had been generated for APOC countries, indicating high initial endemicity in most regions of Cameroon. After more than two decades of CDTI, infection prevalence remains high in some areas. This study aimed at mapping the spatio-temporal evolution of Onchocerca volvulus prevalence from 1971 to 2020 to: i) identify such areas; ii) indicate where alternative and complementary interventions are most needed to accelerate elimination, and iii) improve the projections of transmission models.MethodologyA total of 1,404 georeferenced (village-level) prevalence surveys were obtained from published articles; the Expanded Special Project for Elimination of Neglected Tropical Diseases portal for Cameroon; independent researchers and grey literature. These data were used together with bioclimatic layers to generate model-based geostatistical (MBG) maps of microfilarial prevalence for 1971–2000; 2001–2010 and 2011–2020.Principal findingsTime-period was negatively and statistically significantly associated with prevalence. In 1971–2000 and 2001–2010, prevalence levels were high in most regions and ≥60% in some areas. Mean predicted prevalence declined in 2011–2020, reaching <20% in most areas, but data for this period were sparse, leading to substantial uncertainty. Hotspots were identified in South West, Littoral and Centre regions.Conclusions/SignificanceOur results are broadly consistent with recent MBG studies and can be used to intensify onchocerciasis
  • Journal article
    Dennis TPW, Sulieman JE, Abdin M, Ashine T, Asmamaw Y, Eyasu A, Simma EA, Zemene E, Negash N, Kochora A, Assefa M, Elzack HS, Dagne A, Lukas B, Bulto MG, Enayati A, Nikpoor F, Al-Nazawi AM, Al-Zahrani MH, Khaireh BA, Kayed S, Abdi A-IA, Allan R, Ashraf F, Pignatelli P, Morris M, Nagi SC, Lucas ER, Hernandez-Koutoucheva A, Doumbe-Belisse P, Epstein A, Brown R, Wilson AL, Reynolds AM, Sherrard-Smith E, Yewhalaw D, Gadisa E, Malik E, Kafy HT, Donnelly MJ, Weetman Det al., 2025,

    The origin, invasion history and resistance architecture of Anopheles stephensi in Africa.

    , bioRxiv

    The invasion of Africa by the Asian urban malaria vector, Anopheles stephensi, endangers 126 million people across a rapidly urbanising continent where malaria is primarily a rural disease. Control of An. stephensi requires greater understanding of its origin, invasion dynamics, and mechanisms of widespread resistance to vector control insecticides. We present a genomic surveillance study of 551 An. stephensi sampled across the invasive and native ranges in Africa and Asia. Our findings support a hypothesis that an initial invasion from Asia to Djibouti seeded separate incursions to Sudan, Ethiopia, and Yemen before spreading inland, aided by favourable temperature, vegetation cover, and human transit conditions. Insecticide resistance in invasive An. stephensi is conferred by detoxification genes introduced from Asia. These findings, and a companion genomic data catalogue, will form the foundation of an evidence base for surveillance and management strategies for An. stephensi.

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

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