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What are the advantages of exposure assessment in environmental health?
Date:2023-01-06
1. Helps identify sources of environmental risk: Exposure assessment provides information about the environment surrounding individuals and populations and helps identify environmental sources that could increase the risk of adverse health effects.
2. Assesses individuals and populations at risk: Exposure assessment helps identify individuals or populations that may be exposed to higher levels of environmental risk, and those that may be more susceptible to it.
3. Identify environmental risk factors: Exposure assessment can identify environmental factors that can increase the risk of adverse health. This can help identify potential interventions that could reduce the risk of health impacts.
4. Helps prioritize preventive and intervention efforts: Exposure assessment can help identify priority areas for prevention and interventions so that resources can be allocated where needed most.
5. Improves understanding of causation: By identifying environmental risk factors, exposure assessment helps to improve understanding of the causal relationship between the environment and health.
6. Can help design effective intervention: By providing information on environmental risk factors and levels of exposure, exposure assessment can help inform the design and evaluation of interventions that would be effective in reducing exposures and improving health.
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1. Sign into the Google Cloud Console.
2. Choose the project you want to enable the API for from the menu.
3. Navigate to the "APIs & Services" dashboard and click the "Enable APIs and Services" button.
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1. In the Azure portal, select All services, then type and select Data Factory.
2. Select the data factory to which you want to connect the Azure SQL database.
3. Select Author and deploy.
4. Click New on the left side of the canvas.
5. Select Linked service.
6. Select Azure SQL Database in the list of options.
7. Enter a name for the linked service.
8. Enter the server name, database name and other required information for the connection.
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2. Select All services in the left-hand menu and then type Storage Accounts in the search bar.
3. Select Storage Accounts from the list of results.
4. In the Storage Accounts page, select Add to create a new storage account.
5. Provide a unique name for your storage account, select the appropriate subscription and resource group, and then select the appropriate locations for your storage account.
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7. Select Data Factory from the left-hand menu.
8. In the Data Factory page, select New from the upper left-hand corner to create a new data factory.
9. Provide a unique name for your data factory, select the correct subscription and resource group from the dialog box, and select the desired location for the data factory.
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12. Select Edit and then click on the +Linked Service button to create a new linked service.
13. Select Azure SQL Database from the list of available connections and then select Continue.
14. Provide a unique linked service name, select the appropriate subscription and resource group, and provide your Azure SQL Database credentials in the specific fields.
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2. Select the "Connection Security" option inside the settings and click on "Add client IP" to add the client IP address.
3. Select the IP address of the client you wish to approve for connection and click "Save".
4. Now, click on "Allowed Services" and click on "Add Client Service".
5. Select the relevant port and protocol as per your requirement then click "Save".
6. Finally, click "Save All" at the bottom of the page to save all the changes.