COVID-19
Impact on Public Health and Healthcare
| dc.contributor.editor | Batra, Kavita | |
| dc.contributor.editor | Sharma, Manoj | |
| dc.date.accessioned | 2022-02-24T10:34:58Z | |
| dc.date.available | 2022-02-24T10:34:58Z | |
| dc.date.issued | 2022 | |
| dc.identifier | ONIX_20220224_9783036528458_40 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/78742 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::N History and Archaeology::NH History | en_US |
| dc.subject.classification | thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues | en_US |
| dc.subject.other | COVID-19 | |
| dc.subject.other | novel coronavirus | |
| dc.subject.other | social lockdown | |
| dc.subject.other | protection motivation theory | |
| dc.subject.other | health behavior | |
| dc.subject.other | health communication | |
| dc.subject.other | pregnant woman | |
| dc.subject.other | coronavirus | |
| dc.subject.other | infectious disease transmission | |
| dc.subject.other | vertical transmission | |
| dc.subject.other | obstetric management | |
| dc.subject.other | SARS-CoV-2 | |
| dc.subject.other | systematic review | |
| dc.subject.other | computerized tomography | |
| dc.subject.other | pneumonia | |
| dc.subject.other | risk factors | |
| dc.subject.other | echocardiography | |
| dc.subject.other | healthcare | |
| dc.subject.other | mental health | |
| dc.subject.other | Impact of event scale | |
| dc.subject.other | negative attitude | |
| dc.subject.other | Saudi Arabian females | |
| dc.subject.other | health services | |
| dc.subject.other | cost | |
| dc.subject.other | manual therapy | |
| dc.subject.other | chiropractic | |
| dc.subject.other | osteopathy | |
| dc.subject.other | physiotherapy | |
| dc.subject.other | direct RT-PCR | |
| dc.subject.other | molecular detection | |
| dc.subject.other | dental care | |
| dc.subject.other | dental health services | |
| dc.subject.other | dental visits | |
| dc.subject.other | dental service use | |
| dc.subject.other | postponed dental visits | |
| dc.subject.other | check-up | |
| dc.subject.other | dental examination | |
| dc.subject.other | pain | |
| dc.subject.other | dental complaints | |
| dc.subject.other | oral health | |
| dc.subject.other | Saudi Arabia | |
| dc.subject.other | blood donors | |
| dc.subject.other | seroprevalence | |
| dc.subject.other | ELISA | |
| dc.subject.other | antibodies | |
| dc.subject.other | lockdown | |
| dc.subject.other | multi-theory model | |
| dc.subject.other | behavior change | |
| dc.subject.other | pandemic | |
| dc.subject.other | handwashing | |
| dc.subject.other | young adults | |
| dc.subject.other | college students | |
| dc.subject.other | protective behavior changes | |
| dc.subject.other | individual | |
| dc.subject.other | family | |
| dc.subject.other | environmental factor | |
| dc.subject.other | COVID-19 spreading | |
| dc.subject.other | online survey | |
| dc.subject.other | awareness and knowledge | |
| dc.subject.other | ships | |
| dc.subject.other | seafarers | |
| dc.subject.other | SARS-COV-2 | |
| dc.subject.other | anxiety | |
| dc.subject.other | depression | |
| dc.subject.other | stress | |
| dc.subject.other | suicidal ideation | |
| dc.subject.other | students | |
| dc.subject.other | time-series | |
| dc.subject.other | ARIMA | |
| dc.subject.other | forecasting | |
| dc.subject.other | confirmed cases | |
| dc.subject.other | infectious disease | |
| dc.subject.other | international cruises | |
| dc.subject.other | health policy and regulation | |
| dc.subject.other | control strategies | |
| dc.subject.other | international cooperation | |
| dc.subject.other | global health governance | |
| dc.subject.other | ICF | |
| dc.subject.other | healthcare services | |
| dc.subject.other | interprofessional education | |
| dc.subject.other | medical students | |
| dc.subject.other | pharmacy students | |
| dc.subject.other | telehealth | |
| dc.subject.other | older adults | |
| dc.subject.other | artificial intelligence | |
| dc.subject.other | machine learning | |
| dc.subject.other | bibliometric analysis | |
| dc.subject.other | health | |
| dc.subject.other | novel design | |
| dc.subject.other | fabrication | |
| dc.subject.other | automated dispenser | |
| dc.subject.other | LDR based controller | |
| dc.subject.other | reduction of COVID-19 spread | |
| dc.subject.other | psychological symptom | |
| dc.subject.other | college student | |
| dc.subject.other | avoidance of infection | |
| dc.subject.other | social distancing | |
| dc.subject.other | free tickets for the aged | |
| dc.subject.other | subway use demand | |
| dc.subject.other | e-learning | |
| dc.subject.other | youth and children health | |
| dc.subject.other | visual health | |
| dc.subject.other | myopia | |
| dc.subject.other | routine care | |
| dc.subject.other | global pandemic | |
| dc.subject.other | role conflict | |
| dc.subject.other | role ambiguity | |
| dc.subject.other | social support | |
| dc.subject.other | dental precautions | |
| dc.subject.other | dental students | |
| dc.subject.other | India | |
| dc.subject.other | infection control | |
| dc.subject.other | knowledge | |
| dc.subject.other | perception | |
| dc.subject.other | survey | |
| dc.subject.other | face masks | |
| dc.subject.other | young people | |
| dc.subject.other | behaviors | |
| dc.subject.other | dentist | |
| dc.subject.other | infection control practices | |
| dc.subject.other | concerns | |
| dc.subject.other | dental practice | |
| dc.subject.other | social isolation | |
| dc.subject.other | social connectedness | |
| dc.subject.other | loneliness | |
| dc.subject.other | technology | |
| dc.subject.other | internet | |
| dc.subject.other | smartphones | |
| dc.subject.other | m-health | |
| dc.subject.other | severe acute respiratory syndrome | |
| dc.subject.other | post-graduate year training | |
| dc.subject.other | self-efficacy | |
| dc.subject.other | emotional traits | |
| dc.subject.other | Coronavirus | |
| dc.subject.other | prevention | |
| dc.subject.other | community | |
| dc.subject.other | public health nurse | |
| dc.subject.other | telephone consultation | |
| dc.subject.other | vaccine literacy | |
| dc.subject.other | Japan | |
| dc.subject.other | family carers for older adults | |
| dc.subject.other | sustainable ageing society | |
| dc.subject.other | health communications | |
| dc.subject.other | mass media | |
| dc.subject.other | HCWs | |
| dc.subject.other | personality traits | |
| dc.subject.other | intolerance of uncertainty | |
| dc.subject.other | coping strategies | |
| dc.subject.other | perceived stress | |
| dc.subject.other | resilience | |
| dc.subject.other | migration | |
| dc.subject.other | refugees | |
| dc.subject.other | fear | |
| dc.subject.other | modeling | |
| dc.subject.other | data analysis | |
| dc.subject.other | assessment | |
| dc.subject.other | effectiveness | |
| dc.subject.other | incidence rate | |
| dc.subject.other | restriction | |
| dc.subject.other | epidemic pattern | |
| dc.subject.other | exponential growth | |
| dc.subject.other | basic reproduction number (R0) | |
| dc.subject.other | spatio-temporal analysis | |
| dc.subject.other | demographic risk factor | |
| dc.subject.other | observational study | |
| dc.subject.other | public health | |
| dc.subject.other | Southeast Asia (SEA) | |
| dc.subject.other | vaccination rate | |
| dc.subject.other | basic reproduction number | |
| dc.subject.other | SARS-CoV | |
| dc.subject.other | African American | |
| dc.subject.other | COVID-19 vaccine | |
| dc.subject.other | vaccine hesitancy | |
| dc.subject.other | vaccine hesitant | |
| dc.subject.other | text classification | |
| dc.subject.other | SARS-CoV-2 infection | |
| dc.subject.other | survival rate | |
| dc.subject.other | hospitalized patients | |
| dc.subject.other | Hidalgo Mexico | |
| dc.subject.other | multimorbidity | |
| dc.subject.other | vaccination | |
| dc.subject.other | level 1 trauma | |
| dc.subject.other | health care workers | |
| dc.subject.other | information source trust | |
| dc.subject.other | COVID-19 stressor | |
| dc.subject.other | global south | |
| dc.title | COVID-19 | |
| dc.title.alternative | Impact on Public Health and Healthcare | |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-0365-2845-8 | |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | |
| oapen.relation.isbn | 9783036528458 | |
| oapen.relation.isbn | 9783036528441 | |
| oapen.pages | 133 | |
| oapen.place.publication | Basel |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||

