The interaction between location and timing can provide a deeper understanding of disease dynamics. For example, the spread of a disease in a specific area might vary over time due to changes in environmental conditions, population behavior, or public health interventions. Analyzing both spatial and temporal data together can reveal intricate patterns that might be missed when considered separately.
A notable example is the COVID-19 pandemic, where the virus spread at different rates in various regions and at different times. This interaction highlighted the need for localized strategies and timely interventions tailored to the specific needs of each area.
