| データの種類 |
時系列
表
|
| データの変数（パラメーター）の変数名 |
YYYY|State|County|FIPS_State|FIPS_County|FIPS_Combined|SubstanceName|DrugReports|TotalDrugReportsCounty|TotalDrugReportsState |
| データの概要説明 |
The data set contains drug identification counts in years 2010-2017 for narcotic analgesics (synthetic opioids) and heroin in each of the counties from these five states as reported to the DEA by crime laboratories throughout each state.A drug identification occurs when evidence is submitted to crime laboratories by law enforcement agencies as part of a criminal investigation and the laboratory’s forensic scientists test the evidence. Typically, when law enforcement organizations submit these samples, they provide location data (county) with their incident reports. When evidence is submitted to a crime laboratory and this location data is not provided, the crime laboratory uses the location of the city/county/state investigating law enforcement organization that submitted the case. |
| 想定しているデータの分析・シミュレーションプロセス |
mport data from each state, and the most original source of the state where drug identification occurs in the first year, and then according to the trend over time, to see the speed of drug identification growth in each state, and the more distance on the map In far states, the greater the impact factor on the state, the more different systems are set up, and the results are based on annual data. |
| 想定しているデータの分析・シミュレーションプロセスの結果 （データ分析結果／ツールの出力／典型例など） |
a mathematical describe the spread and characteristics of the reported synthetic opioid and heroin incidents (cases) in and between the five states and their counties over time. |
| 上記の分析・シミュレーションプロセス以外に期待する分析 |
identify any possible locations where specific opioid use might have started in each of the five states.
identify a possible strategy for countering the opioid crisis. |
作成日：2019年07月08日 最終更新日：2019年07月08日
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