The current landscape of software tools for the climate-sensitive infectious disease modelling community.
Lancet Planet Health
; 7(6): e527-e536, 2023 06.
Article
en En
| MEDLINE
| ID: mdl-37286249
ABSTRACT
Climate-sensitive infectious disease modelling is crucial for public health planning and is underpinned by a complex network of software tools. We identified only 37 tools that incorporated both climate inputs and epidemiological information to produce an output of disease risk in one package, were transparently described and validated, were named (for future searching and versioning), and were accessible (ie, the code was published during the past 10 years or was available on a repository, web platform, or other user interface). We noted disproportionate representation of developers based at North American and European institutions. Most tools (n=30 [81%]) focused on vector-borne diseases, and more than half (n=16 [53%]) of these tools focused on malaria. Few tools (n=4 [11%]) focused on food-borne, respiratory, or water-borne diseases. The under-representation of tools for estimating outbreaks of directly transmitted diseases represents a major knowledge gap. Just over half (n=20 [54%]) of the tools assessed were described as operationalised, with many freely available online.
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Enfermedades Transmisibles
/
Malaria
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Lancet Planet Health
Año:
2023
Tipo del documento:
Article