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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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541
The minimal data set 2.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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542
The minimal data set 15.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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543
The minimal data set 21.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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544
The minimal data set 18.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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545
The minimal data set 20.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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546
The minimal data set 5.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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547
The minimal data set 17.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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548
The minimal data set 19.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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549
The minimal data set 4.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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550
The minimal data set 13.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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551
The minimal data set 7.
Published 2024“…</p><p>Result</p><p>COVID-19 affected the delivery of essential health services in several ways, namely: decline in health service utilization, fear of infection among healthcare providers, stigma towards healthcare providers, and perceived decrease in quality-of-service provision. …”
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552
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553
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554
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555
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556
Temporal changes of older adults’ health level in the Yangtze River Economic Belt.
Published 2024Subjects: -
557
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558
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559
Indicators and data sources for the health level and influencing factors of older adults.
Published 2024Subjects: -
560
Summary statistics of key variables.
Published 2024“…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”