ArticleBMC proceedings2015
Infectious disease and health systems modelling for local decision making to control neglected tropical diseases.
Article in BMC proceedings, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed, 23 citations in OpenAlex.
- Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes.PLoS neglected tropical diseases · 2022Article
- Challenges of using modelling evidence in the visceral leishmaniasis elimination programme in India.PLOS global public health · 2022Article
- LAMP in Neglected Tropical Diseases: A Focus on Parasites.Diagnostics (Basel, Switzerland) · 2021Review
- Tackling zoonoses in a crowded world: Lessons to be learned from the COVID-19 pandemic.Acta tropica · 2021Article
- Assessment of surveillance core and support functions regarding neglected tropical diseases in Kenya.BMC public health · 2021Article
- How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases.Gates open research · 2021Article
- Parasites and wildlife in a changing world: The vector-host- pathogen interaction as a learning case.International journal for parasitology. Parasites and wildlife · 2019Review
- Mapping and modelling the impact of mass drug adminstration on filariasis prevalence in Myanmar.Infectious diseases of poverty · 2018Article
- Probabilistic forecasts of trachoma transmission at the district level: A statistical model comparison.Epidemics · 2017Article
- Making Transmission Models Accessible to End-Users: The Example of TRANSFIL.PLoS neglected tropical diseases · 2017Article
- The significant scale up and success of Transmission Assessment Surveys 'TAS' for endgame surveillance of lymphatic filariasis in Bangladesh: One step closer to the elimination goal of 2020.PLoS neglected tropical diseases · 2017Article
- Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases.Parasites & vectors · 2015Article
- Summary, initial outputs and next steps Collaboration for Applied Health Research & Delivery.BMC proceedings · 2015Article
- Fit for purpose: do we have the right tools to sustain NTD elimination?BMC proceedings · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most neglected tropical diseases (NTDs) have complex life cycles and are challenging to control. The "2020 goals" of control and elimination as a public health programme for a number of NTDs are the subject of significant international efforts and investments. Beyond 2020 there will be a drive to maintain these gains and to push for true local elimination of transmission. However, these diseases are affected by variations in vectors, human demography, access to water and sanitation, access to interventions and local health systems. We therefore argue that there will be a need to develop local quantitative expertise to support elimination efforts. If available now, quantitative analyses would provide updated estimates of the burden of disease, assist in the design of locally appropriate control programmes, estimate the effectiveness of current interventions and support 'real-time' updates to local operations. Such quantitative tools are increasingly available at an international scale for NTDs, but are rarely tailored to local scenarios. Localised expertise not only provides an opportunity for more relevant analyses, but also has a greater chance of developing positive feedback between data collection and analysis by demonstrating the value of data. This is essential as rational program design relies on good quality data collection. It is also likely that if such infrastructure is provided for NTDs there will be an additional impact on the health system more broadly. Locally tailored quantitative analyses can help achieve sustainable and effective control of NTDs, but also underpin the development of local health care systems.
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.