Abstract
Spatial lifecourse epidemiology aims to utilize advanced spatial, location-aware, and artificial intelligence technologies to investigate long-term effects of measurable biological, environmental, behavioral, and psychosocial factors on individual risk for chronic diseases. It could also further the research on infectious disease dynamics, risks, and consequences across the life course.
Original language | English |
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Pages (from-to) | 235-238 |
Number of pages | 4 |
Journal | Trends in Parasitology |
Volume | 36 |
Issue number | 3 |
Early online date | 7 Feb 2020 |
DOIs | |
Publication status | Published - Mar 2020 |
Keywords
- ITC-ISI-JOURNAL-ARTICLE
- n/a OA procedure