Research Club on Surveillance and Climate
The Research Club on Surveillance and Climate brings together researchers and postgraduate students who are involved or interested in research on the impact of climate on health and aims to strengthen academic and scientific cooperation in Latin America. Through these collaborations, the Club seeks to:
- Develop and apply advanced space-time modelling approaches to understand the incidence and distribution of climate-sensitive health outcomes in different regional contexts;
- Support the training of new researchers;
- Consolidate technical capacity in health modelling;
- Contribute to the development of public policies focused on surveillance and on mitigating the effects of climate change on population health.
Associated with the Calmas Project – Climate and Latin America: Modelling Health Outcomes, the Club focuses on arboviral diseases, viral respiratory diseases and diarrhoea, with special attention to border areas. Meetings, held in Portuguese, take place every two months and last 1h30.
Meeting agenda
- Introduction to the Research Club – objectives, partners and relevance
- Climatic variables and climate-sensitive health outcomes – concepts and challenges
- Space-time modelling and machine learning applied to health
- Case studies in border regions
- Use of open data and open-source tools for analysis and visualisation
- Interactive dashboard and communication of results to decision-makers and society
Resources and associated projects
Article - A statistical model for forecasting probabilistic epidemic bands for dengue cases in Brazil
The article presents the development of a model to forecast dengue in Brazil, classifying outbreaks into different risk levels and forecasting a typical season for 2024-2025, in contrast with previous years, which were atypical and exceptionally high.
Access the article’s supporting files
Access the online interactive dashboard of probabilistic models for dengue in Brazil
Infodengue
InfoDengue is an early-warning system for arboviral diseases based on hybrid data generated through the integrated analysis of data mined from social web platforms and climatic and epidemiological data.
Infogripe
Based on data obtained from the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) of the Brazilian Ministry of Health, InfoGripe produces weekly forecasts and analyses of the behaviour of these syndromes, identifying trends of increasing or decreasing cases in different regions of the country using statistical models.
Mosqlimate
Mosqlimate is a multidisciplinary tool for multiple diseases with two main objectives:
- To estimate the probabilities of changes in disease transmission patterns in response to climatic and land-use variations;
- To identify circulating viruses during outbreaks when the available information is incomplete.
Observatory of Climate and Health - Fiocruz
The Observatory of Climate and Health aims to bring together and share information, technologies and knowledge to support the development of researcher networks and studies that assess the impacts of environmental and climatic changes on the health of the Brazilian population.
VigiFronteiras-Brasil Programme | Training in Health Surveillance
The VigiFronteiras-Brasil Programme, an initiative of Fiocruz in partnership with the Secretariat of Health Surveillance of the Ministry of Health and the Pan American Health Organization (PAHO), aims to train masters and PhD graduates to contribute to strengthening health surveillance actions and services in Brazilian border regions and neighbouring countries.
Support the community
Thank you for visiting The Global Health Network, please take a moment to read this important message. As you know, our aim is to enable equity in access to research knowledge and this is successfully delivering support and training to 1000’s of research teams all over the world. But we need your support!. If you have benefited from this research skills and knowledge sharing facility, please help us sustain this remarkable and unique provision of information for those who could otherwise not access such support and training. We would be really grateful if you could make a donation or ask your employer or organisation to contribute to the costs of maintaining this platform and the generation of new contents for all users. Just a small contribution from everyone who can afford to pay would keep this available for those who cannot. Thank you, we really appreciate your part in this community effort to better equity in global health research.