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1
The aim of this toolkit is to guide countries on how to best estimate their current burden of dengue by combining existing data from dengue surveillance systems with on-going research efforts to measure the community burden of dengue.
The aim of the present study was to predict which patients with severe or difficult-to-treat asthma are at highest risk for healthcare utilisation can be predicted so as to optimise clinical management. Data were derived from 2,821 adults with asthm ... more
To better adapt current case management practices and address excess mortality in otherwise treatable cases will require better knowledge of the demographic characteristics of the patients and comorbidities which can make severe dehydration harder to tolerate physiologically. With this in mind, a ... more
Ziel des Projektes ist es, den in Deutschland bisher unterrepräsentierten Bereich Global Health sichtbarer zu machen und gleichzeitig einen Anreiz für Fakultäten zu schaffen, sich hier vermehrt zu engagieren. Des Weiteren soll das Ranking interes ... more
International Migration 2020 Highlights presents key facts and messages regarding international migration globally and by region during 2000-2020, based on the 2020 revision of the international migrant stock data set, which provides updated estimat ... more
The objectives of pertussis surveillance are to:hmonitor disease burden and the impact of the pertussis vaccination programme, with a special focus on understanding the morbidity and mortality in children < 5 years of agehgenerate data to inform vac ... more
Children with disabilities are particularly vulnerable in humanitarian settings, yet they are often not able to access the services and protection they need. While multiple factors create these barriers, a major cause is how data about children with ... more
Cystic echinococcosis (CE) is a well-known neglected parasitic disease. However, evidence supporting the four current treatment modalities is inadequate, and treatment options remain controversial. The aim of this work is to analyse the available data ... more
Background:Tracking aid fl ows helps to hold donors accountable and to compare the allocation of resources in relation to health need. With the use of data reported by donors in 2015, we provided estimates of offi cial development assistance and gr ... more
Government spending on health from domestic sources is an important indicator of a government's commitment to the health of its people, and is essential for the sustainability of health programmes. We aimed to systematically analyse all data sources ... more
Given that only 1.52 million of the 8.75 million people living with type 1 diabetes around the world in 2022 were less than 20 years old, the lack of data available for adult populations presents a stark gap in the research. Without rapid diagnosis ... more
The Asthma Control Questionnaire (ACQ)1 was developed and validated to measure the primary clinical goal of asthma management as identified by international guidelines. They indicate that to achieve good control, treatment should minimise day and night time symptoms, activity limitation, airway narr ... more
The purpose of the guideline is to provide information to stakeholders on the necessary requirements for a complete prequalification dossier for insecticide-treated nets (ITNs). Its aim is to establish the baseline for dossier requirements which are necessary to assess ITN products for the purposes ... more
Malaria No More is a non-profit organisation dedicated to eradicating malaria, a preventable and treatable disease, in our lifetime. Through innovative partnerships, advocacy and data-driven solutions, Malaria No More works globally to ensure access ... more
The Guardian article reports that Google DeepMind has developed an artificial intelligence model capable of predicting weather more accurately than one of the world’s leading traditional forecasting systems. The AI system, trained on large amounts of historical weather ... more
The webpage presents WeatherNext 2, an advanced AI-based weather forecasting model developed by Google DeepMind. It explains how the system uses machine learning to analyze large amounts of atmospheric data and produce fast and accurate weather pred ... more