Infectious disease forecasting to support public health: use of readily available methods to predict malaria and diarrhoeal diseases in Mozambique
This study highlights the potential of using a readily available tool for generating accurate disease forecasts. It represents a step toward scalable and accessible forecasting solutions that can enhance disease surveillance and public health responses, not only in Mozambique but also in other low- and middle-income countries with similar challenges.
Authors
- Jeffrey Shaman (ORCID: https://orcid.org/0000-0002-7216-7809)
- Rodrigo Zepeda‐Tello (ORCID: https://orcid.org/0000-0003-4471-5270)
- Wafaa El‐Sadr (ORCID: https://orcid.org/0000-0003-3735-9781)
- Annette Cassy (ORCID: https://orcid.org/0000-0002-5036-6524)
- Ilesh Vinodrai Jani (ORCID: https://orcid.org/0000-0002-6880-6655)
- Sérgio Chicumbe (ORCID: https://orcid.org/0000-0002-2498-9373)
- Ivalda Macicame (ORCID: https://orcid.org/0000-0002-7693-5174)
- Marta Galanti (ORCID: https://orcid.org/0000-0002-9060-1250)
- Shannon M. Farley (ORCID: https://orcid.org/0000-0003-0321-5974)
- Rami Yaari (ORCID: https://orcid.org/0000-0002-8808-8937)
- Naisa Manafe
Institutions
- Instituto Nacional de Saúde (MZ)
- Ministry of Health (MZ)
- Columbia University (US)
Publication Details
- Journal
- Journal of Global Health
- Published
- 2025-04-11
- DOI
- https://doi.org/10.7189/jogh.15.04114
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.37