ReviewLancet (London, England)2015
Data for action: collection and use of local data to end tuberculosis.
Review in Lancet (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings.The Lancet. Infectious diseases · 2019Pooled it
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
- Transmission of Mycobacterium Tuberculosis in Households and the Community: A Systematic Review and Meta-Analysis.American journal of epidemiology · 2017Pooled it
- Lessons From Building a Large, Public HIV-Related Database in Support of the Ending the HIV Epidemic in the US Initiative.JMIR formative research · 2026Article
- Feasibility, challenges, and solutions for implementing targeted universal tuberculosis testing: perceptions of healthcare professionals in South Africa.BMC health services research · 2026Article
- Revolutionizing Antibiotic Delivery: Harnessing 3D-Printing Technology to Combat Bacterial Resistance.Current pharmaceutical design · 2026Review
- Geographical location and genotyping analysis of pulmonary tuberculosis in the state of Nuevo Leon, Mexico.Scientific reports · 2025Article
- Bayesian spatio-temporal modelling of tuberculosis in Vietnam: Insights from a local-area analysis.Epidemiology and infection · 2025Article
- Addressing the emerging threat of Oropouche virus: implications and public health responses for healthcare systems.Tropical diseases, travel medicine and vaccines · 2025Review
- Mapping the distribution of tuberculosis cases and associated factors identified through routine program implementation and community-based active screening in Central Ethiopia.BMC public health · 2024Article
- Effectiveness of Using AI-Driven Hotspot Mapping for Active Case Finding of Tuberculosis in Southwestern Nigeria.Tropical medicine and infectious disease · 2024Article
- Spatial Analysis of Drug-Susceptible and Multidrug-Resistant Cases of Tuberculosis, Ho Chi Minh City, Vietnam, 2020-2023.Emerging infectious diseases · 2024Article
- Estimating the prevalence of poor-quality anti-TB medicines: a neglected risk for global TB control and resistance.BMJ global health · 2023Article
- Evaluation of the accessibility and its equity of the national public-private mix program for tuberculosis in Korea: a multilevel analysis.Epidemiology and health · 2023Article
- Article
- Distribution of bacteriologically positive and bacteriologically negative pulmonary tuberculosis in Northwest China: spatiotemporal analysis.Scientific reports · 2022Article
- Evaluation of the collaborative integrated surveillance system (ViCo) in Guatemala: a qualitative study on lessons learned and future perspectives.BMC public health · 2022Article
- A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions.Scientific reports · 2022Article
- COVID-19 BR: A web portal for COVID-19 information in Brazil.Procedia computer science · 2022Article
- Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability.PloS one · 2022Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Accelerating progress in the fight against tuberculosis will require a drastic shift from a strategy focused on control to one focused on elimination. Successful disease elimination campaigns are characterised by locally tailored responses that are informed by appropriate data. To develop such a response to tuberculosis, we suggest a three-step process that includes improved collection and use of existing programmatic data, collection of additional data (eg, geographic information, drug resistance, and risk factors) to inform tailored responses, and targeted collection of novel data (eg, sequencing data, targeted surveys, and contact investigations) to improve understanding of tuberculosis transmission dynamics. Development of a locally targeted response for tuberculosis will require substantial investment to reconfigure existing systems, coupled with additional empirical data to evaluate the effectiveness of specific approaches. Without adoption of an elimination strategy that uses local data to target hotspots of transmission, ambitious targets to end tuberculosis will almost certainly remain unmet.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.