Diagnostics and the neglected tropical diseases roadmap: setting the agenda for 2030

AA Souza, C Ducker, D Argaw, JD King… - Transactions of The …, 2021 - academic.oup.com
Accurate and reliable diagnostic tools are an essential requirement for neglected tropical
diseases (NTDs) programmes. However, the NTD community has historically underinvested …

Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict

E Giorgi, C Fronterrè, PM Macharia… - Journal of The …, 2021 - royalsocietypublishing.org
This paper provides statistical guidance on the development and application of model-
based geostatistical methods for disease prevalence mapping. We illustrate the different …

Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework

G Nicholson, B Lehmann, T Padellini, KB Pouwels… - Nature …, 2022 - nature.com
Global and national surveillance of SARS-CoV-2 epidemiology is mostly based on targeted
schemes focused on testing individuals with symptoms. These tested groups are often …

[图书][B] Model-based geostatistics for global public health: methods and applications

PJ Diggle, E Giorgi - 2019 - taylorfrancis.com
Model-based Geostatistics for Global Public Health: Methods and Applications provides an
introductory account of model-based geostatistics, its implementation in open-source …

The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling

C Barrett, J Chiphwanya, S Mkwanda… - PLOS Neglected …, 2024 - journals.plos.org
Background In 2020 the World Health Organization (WHO) declared that Malawi had
successfully eliminated lymphatic filariasis (LF) as a public health problem. Understanding …

Rethinking neglected tropical disease prevalence survey design and analysis: a geospatial paradigm

PJ Diggle, B Amoah, C Fronterre… - Transactions of The …, 2021 - academic.oup.com
Current methods for the design and analysis of neglected tropical disease prevalence
surveys largely rely on classical survey sampling ideas that treat prevalence data from …

Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling

R Retkute, P Touloupou, MG Basanez… - The Annals of Applied …, 2021 - projecteuclid.org
Integrating geostatistical maps and infectious disease transmission models using adaptive
multiple importance sampling Page 1 The Annals of Applied Statistics 2021, Vol. 15, No. 4 …

Local prevalence of transmissible SARS-CoV-2 infection: An integrative causal model for debiasing fine-scale targeted testing data

G Nicholson, B Lehmann, T Padellini, KB Pouwels… - medRxiv, 2021 - medrxiv.org
Targeted surveillance testing schemes for SARS-CoV-2 focus on certain subsets of the
population, such as individuals experiencing one or more of a prescribed list of symptoms …

A systematic review of variables associated with snakebite risk in spatial and temporal analyses

S Collinson, T Lamb, IA Cardoso… - Transactions of The …, 2025 - academic.oup.com
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 …

Joint spatiotemporal modelling reveals seasonally dynamic patterns of Japanese encephalitis vector abundance across India

LHV Franklinos, DW Redding, TCD Lucas… - PLoS neglected …, 2022 - journals.plos.org
Predicting vector abundance and seasonality, key components of mosquito-borne disease
(MBD) hazard, is essential to determine hotspots of MBD risk and target interventions …