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  "description" : "\u003cdiv\u003eThis data shows the population change over the latest 7 days when Population Density data from Meta are available. The change is calculated using a linear regression over the daily data showing population change from 1600 to 2359 hrs UTC.\u003c/div\u003e\u003cdiv\u003e\u003cbr /\u003e\u003c/div\u003e\u003cdiv\u003eHotspots, or areas of interest, are visualized using the following color levels:\u003c/div\u003e\u003cdiv\u003e\u003cul\u003e\u003cli\u003e\u003cb\u003e\u003cfont color='#8b4513' style='font-family:inherit;'\u003eDecreasing \u003c/font\u003e\u003c/b\u003eof population density change are shown in \u003cfont color='#8b4513' style='font-family:inherit;'\u003e\u003cb\u003ebrown\u003c/b\u003e\u003c/font\u003e, which signify a small but consistent decrease in population density in these regions. \u003cb\u003e\u003cfont color='#8b4513' style='font-family:inherit;'\u003eThree shades of brown\u003c/font\u003e\u003c/b\u003e indicates statistical significance from the linear regression applied to detect the trend over time (\u003cfont color='#f4a460' style='font-family:inherit;'\u003e\u003cb\u003ep < 0.1\u003c/b\u003e\u003c/font\u003e, \u003cfont color='#d2691e' style='font-family:inherit;'\u003e\u003cb\u003ep < 0.05\u003c/b\u003e\u003c/font\u003e, \u003cfont color='#8b4513' style='font-family:inherit;'\u003e\u003cb\u003ep < 0.01\u003c/b\u003e\u003c/font\u003e).\u003c/li\u003e\u003cli\u003e\u003cfont color='#008b8b' style='font-family:inherit;'\u003e\u003cb\u003eIncreasing \u003c/b\u003e\u003c/font\u003elevels of population density changes are shown in \u003cb\u003e\u003cfont color='#008b8b' style='font-family:inherit;'\u003ecyan\u003c/font\u003e\u003c/b\u003e, which indicates a small but consistent increase in population densities in these regions. \u003cb\u003e\u003cfont color='#008b8b' style='font-family:inherit;'\u003eThree shades of cyan\u003c/font\u003e\u003cfont color='#8b4513' style='font-family:inherit;'\u003e \u003c/font\u003e\u003c/b\u003eindicates statistical significance from the linear regression applied to detect the trend over time (\u003cb\u003e\u003cfont color='#8fbc8f' style='font-family:inherit;'\u003ep < 0.1\u003c/font\u003e\u003c/b\u003e, \u003cb\u003e\u003cfont color='#20b2aa' style='font-family:inherit;'\u003ep < 0.05\u003c/font\u003e\u003c/b\u003e, \u003cb\u003e\u003cfont color='#008b8b' style='font-family:inherit;'\u003ep < 0.01\u003c/font\u003e\u003c/b\u003e).\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003cdiv\u003e\u003cbr /\u003e\u003c/div\u003e\u003cdiv\u003eThis analysis of population density changes uses anonymized and aggregated Meta (Facebook) data can indicate that people are leaving or coming-into a specific location at the time period of the analysis. This is not necessarily indicative of specific forced displacement, but likely one of the following scenarios from our remote analyses:\u003c/div\u003e\u003cdiv\u003e\u003cul\u003e\u003cli\u003eSeasonal changes\u003c/li\u003e\u003cli\u003eFluctuations in the general population\u003c/li\u003e\u003cli\u003eChanges in population, which may be related to displaced people from Ukraine\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e", 
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