Assessment of COVID-19 Effect on the Health of Families in South-West, Nigeria
olorunfemi, o.
Show abstract
AimThis study was to assess the effect of the coronavirus disease and its associated lockdown on the physical, spiritual, emotional, and socio-economic health of families living in South-West, Nigeria. BackgroundThe outbreak of the COVID-19 pandemic create a universal health crisis that has a major effect on our day-to-day activities and these global concerns have shifted from the diseases to the physical, emotional, spiritual, and socioeconomic effects of the situation on the people. MethodThis is a descriptive study with five hundred and thirty-six (536) respondents; a convenient sampling technique was used to select samples through online Google form. ResultThe majority of the respondents ages ranged between 20 and 30years (53.0%). COVID 19 pandemic affected 17.2% of the respondents physical health. The lockdown improved bonding among family members (74.6%), also the lockdown favourable affected 56.0% of the respondents emotional health. The spirituality of the respondents was negatively affected (79.9%) by the lockdown, family expenses were increased (82.6%), there was an increased in the prices of goods (92.9%), and in general COVID 19 pandemic unfavorably affected (77.2%) the respondents socio-economic health. ConclusionThis study reveals that COVID-19 and the lockdown produced an adverse effect on the physical, emotional, spiritual, and socio-economic wellbeing of the families in southwest Nigeria. Implications for nursing and health policynurses working in COVID-19 unit need to give total care to the affected patient; therefore, they have obligation to include physical, emotional, spiritual and mental intervention in their care. The government needs to plan and strategize properly in the method for distribution of the palliatives, and if possible identify the vulnerable and less privileged in each state for easy distribution.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- The knowledge and practice towards COVID-19 pandemic prevention among residents of Ethiopia. An online cross-sectional study. 98%
- Health-Related Quality of Life and Coping Strategies adopted by COVID-19 survivors: A nationwide cross-sectional study in Bangladesh 98%
- Conflict driven displacement and child health: Evidence from Jordan 98%
Similar papers in this journal
- Assessment of COVID-19 Pandemic in Nepal: A Lockdown Scenario Analysis 95%
- Knowledge, attitudes, and practices among the general population during COVID-19 outbreak in Iran: A national cross-sectional survey 94%
- The impact of armed conflict on the epidemiological situation of Coronavirus disease (COVID-19) in Libya, Syria, and Yemen 94%
Similar papers in this journal
- Comprehensive assessment of Age-Specific Mortality Rate and its incremental changes using a composite measure: A sub-national analysis of rural Indian women 94%
- Is the infection of the SARS-CoV-2 Delta variant associated with the outcomes of COVID-19 patients? 93%
- Clinico epidemiological profile of Omicron variant of SARS CoV2 in Rajasthan 92%
Similar papers in this journal
- COVID-19 Vaccine hesitancy in Addis Ababa, Ethiopia: A mixed-methods study 95%
- Women’s Awareness of Obstetric Fistula and its Associated Factors Among Reproductive-Age Women in Ethiopia: A Multilevel Analysis Based on National Survey Data 95%
- Psychiatric Manifestations and Associated Risk Factors among Hospitalized Patients with COVID-19 in Edo State, Nigeria 95%
Similar papers in this journal
- Using A Socio-Ecological System (SES) Framework to Explain Factors Influencing Countries’ Success Level in Curbing COVID-19 96%
- Assessment of Experiences of Preventive Measures Practice including Vaccination History and Health Education among Umrah Pilgrims in Saudi Arabia, 1440H-2019 96%
- Acculturation stressors and academic adjustment among Nepalese students in South Korean higher education institutions 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.