COVID-19 Impact on Public Health and Healthcare
This compendium describes the impact of COVID-19 pandemic on all aspects of people lives. Data presented in this collection will be useful to understand the disruption in healthcare, learning, and socio-economic aspects amidst the pandemic. The sooner we begin to understand the impact, the better pl...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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700 | 1 | |a Sharma, Manoj |4 edt | |
700 | 1 | |a Batra, Kavita |4 oth | |
700 | 1 | |a Sharma, Manoj |4 oth | |
245 | 1 | 0 | |a COVID-19 |b Impact on Public Health and Healthcare |
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520 | |a This compendium describes the impact of COVID-19 pandemic on all aspects of people lives. Data presented in this collection will be useful to understand the disruption in healthcare, learning, and socio-economic aspects amidst the pandemic. The sooner we begin to understand the impact, the better placed we will be to address the unmet needs of vulnerable population groups. | ||
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650 | 7 | |a Social interaction |2 bicssc | |
653 | |a COVID-19 | ||
653 | |a novel coronavirus | ||
653 | |a social lockdown | ||
653 | |a protection motivation theory | ||
653 | |a health behavior | ||
653 | |a health communication | ||
653 | |a pregnant woman | ||
653 | |a coronavirus | ||
653 | |a infectious disease transmission | ||
653 | |a vertical transmission | ||
653 | |a obstetric management | ||
653 | |a SARS-CoV-2 | ||
653 | |a systematic review | ||
653 | |a computerized tomography | ||
653 | |a pneumonia | ||
653 | |a risk factors | ||
653 | |a echocardiography | ||
653 | |a healthcare | ||
653 | |a mental health | ||
653 | |a Impact of event scale | ||
653 | |a negative attitude | ||
653 | |a Saudi Arabian females | ||
653 | |a health services | ||
653 | |a cost | ||
653 | |a manual therapy | ||
653 | |a chiropractic | ||
653 | |a osteopathy | ||
653 | |a physiotherapy | ||
653 | |a direct RT-PCR | ||
653 | |a molecular detection | ||
653 | |a dental care | ||
653 | |a dental health services | ||
653 | |a dental visits | ||
653 | |a dental service use | ||
653 | |a postponed dental visits | ||
653 | |a check-up | ||
653 | |a dental examination | ||
653 | |a pain | ||
653 | |a dental complaints | ||
653 | |a oral health | ||
653 | |a Saudi Arabia | ||
653 | |a blood donors | ||
653 | |a seroprevalence | ||
653 | |a ELISA | ||
653 | |a antibodies | ||
653 | |a lockdown | ||
653 | |a multi-theory model | ||
653 | |a behavior change | ||
653 | |a pandemic | ||
653 | |a handwashing | ||
653 | |a young adults | ||
653 | |a college students | ||
653 | |a protective behavior changes | ||
653 | |a individual | ||
653 | |a family | ||
653 | |a environmental factor | ||
653 | |a COVID-19 spreading | ||
653 | |a online survey | ||
653 | |a awareness and knowledge | ||
653 | |a ships | ||
653 | |a seafarers | ||
653 | |a SARS-COV-2 | ||
653 | |a anxiety | ||
653 | |a depression | ||
653 | |a stress | ||
653 | |a suicidal ideation | ||
653 | |a students | ||
653 | |a time-series | ||
653 | |a ARIMA | ||
653 | |a forecasting | ||
653 | |a confirmed cases | ||
653 | |a infectious disease | ||
653 | |a international cruises | ||
653 | |a health policy and regulation | ||
653 | |a control strategies | ||
653 | |a international cooperation | ||
653 | |a global health governance | ||
653 | |a ICF | ||
653 | |a healthcare services | ||
653 | |a interprofessional education | ||
653 | |a medical students | ||
653 | |a pharmacy students | ||
653 | |a telehealth | ||
653 | |a older adults | ||
653 | |a artificial intelligence | ||
653 | |a machine learning | ||
653 | |a bibliometric analysis | ||
653 | |a health | ||
653 | |a novel design | ||
653 | |a fabrication | ||
653 | |a automated dispenser | ||
653 | |a LDR based controller | ||
653 | |a reduction of COVID-19 spread | ||
653 | |a psychological symptom | ||
653 | |a college student | ||
653 | |a avoidance of infection | ||
653 | |a social distancing | ||
653 | |a free tickets for the aged | ||
653 | |a subway use demand | ||
653 | |a e-learning | ||
653 | |a youth and children health | ||
653 | |a visual health | ||
653 | |a myopia | ||
653 | |a routine care | ||
653 | |a global pandemic | ||
653 | |a role conflict | ||
653 | |a role ambiguity | ||
653 | |a social support | ||
653 | |a dental precautions | ||
653 | |a dental students | ||
653 | |a India | ||
653 | |a infection control | ||
653 | |a knowledge | ||
653 | |a perception | ||
653 | |a survey | ||
653 | |a face masks | ||
653 | |a young people | ||
653 | |a behaviors | ||
653 | |a dentist | ||
653 | |a infection control practices | ||
653 | |a concerns | ||
653 | |a dental practice | ||
653 | |a social isolation | ||
653 | |a social connectedness | ||
653 | |a loneliness | ||
653 | |a technology | ||
653 | |a internet | ||
653 | |a smartphones | ||
653 | |a m-health | ||
653 | |a severe acute respiratory syndrome | ||
653 | |a post-graduate year training | ||
653 | |a self-efficacy | ||
653 | |a emotional traits | ||
653 | |a Coronavirus | ||
653 | |a prevention | ||
653 | |a community | ||
653 | |a public health nurse | ||
653 | |a telephone consultation | ||
653 | |a vaccine literacy | ||
653 | |a Japan | ||
653 | |a family carers for older adults | ||
653 | |a sustainable ageing society | ||
653 | |a health communications | ||
653 | |a mass media | ||
653 | |a HCWs | ||
653 | |a personality traits | ||
653 | |a intolerance of uncertainty | ||
653 | |a coping strategies | ||
653 | |a perceived stress | ||
653 | |a resilience | ||
653 | |a migration | ||
653 | |a refugees | ||
653 | |a fear | ||
653 | |a modeling | ||
653 | |a data analysis | ||
653 | |a assessment | ||
653 | |a effectiveness | ||
653 | |a incidence rate | ||
653 | |a restriction | ||
653 | |a epidemic pattern | ||
653 | |a exponential growth | ||
653 | |a basic reproduction number (R0) | ||
653 | |a spatio-temporal analysis | ||
653 | |a demographic risk factor | ||
653 | |a observational study | ||
653 | |a public health | ||
653 | |a Southeast Asia (SEA) | ||
653 | |a vaccination rate | ||
653 | |a basic reproduction number | ||
653 | |a SARS-CoV | ||
653 | |a African American | ||
653 | |a COVID-19 vaccine | ||
653 | |a vaccine hesitancy | ||
653 | |a vaccine hesitant | ||
653 | |a text classification | ||
653 | |a SARS-CoV-2 infection | ||
653 | |a survival rate | ||
653 | |a hospitalized patients | ||
653 | |a Hidalgo Mexico | ||
653 | |a multimorbidity | ||
653 | |a vaccination | ||
653 | |a level 1 trauma | ||
653 | |a health care workers | ||
653 | |a information source trust | ||
653 | |a COVID-19 stressor | ||
653 | |a global south | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4834 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/78742 |7 0 |z DOAB: description of the publication |