Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys.

PURPOSE: Population-based prevalence surveys are essential for decision-making on interventions to achieve trachoma elimination as a public health problem. This paper outlines the methodologies of Tropical Data, which supports work to undertake those surveys. METHODS: Tropical Data is a consortium of partners that supports health ministries worldwide to conduct globally standardised prevalence surveys that conform to World Health Organization recommendations. Founding principles are health ministry ownership, partnership and collaboration, and quality assurance and quality control at every step of the survey process. Support covers survey planning, survey design, training, electronic data collection and fieldwork, and data management, analysis and dissemination. Methods are adapted to meet local context and needs. Customisations, operational research and integration of other diseases into routine trachoma surveys have also been supported. RESULTS: Between 29th February 2016 and 24th April 2023, 3373 trachoma surveys across 50 countries have been supported, resulting in 10,818,502 people being examined for trachoma. CONCLUSION: This health ministry-led, standardised approach, with support from the start to the end of the survey process, has helped all trachoma elimination stakeholders to know where interventions are needed, where interventions can be stopped, and when elimination as a public health problem has been achieved. Flexibility to meet specific country contexts, adaptation to changes in global guidance and adjustments in response to user feedback have facilitated innovation in evidence-based methodologies, and supported health ministries to strive for global disease control targets.

The impact of the shadow economy on economic growth and CO2 emissions: evidence from ECOWAS countries.

The Economic Community of West African States (ECOWAS) is one of the most dynamic African sub-regional organizations in several areas, such as economic integration and environmental conservation. On the other hand, it is also one of the sub-regions with the largest size of the shadow economy in the world. This article empirically explores the impact of the shadow economy on economic growth and CO2 emissions in ECOWAS countries. Using system generalized method of moment (SGMM) and common correlated effects mean group (CCEMG) estimators on annual data from 14 ECOWAS countries over the period 1991-2016, the results suggest that the shadow economy decreases economic growth and CO2 emissions. However, the impact of the shadow economy on economic growth is more significant and higher than that on CO2 emissions. The results also indicate that industrialization and urbanization tend to increase economic growth and CO2 emissions in these countries.