Literature DB >> 32848481

The Magnitude of Psychological Problem and Associated Factor in Response to COVID-19 Pandemic Among Communities Living in Addis Ababa, Ethiopia, March 2020: A Cross-Sectional Study Design.

Chalachew Kassaw1.   

Abstract

PURPOSE: COVID-19 pandemic is a World Health Organization day-to-day work and has a significant crisis on the physical and mental health of humans. However, little is known about the mental health crisis of the pandemic in Sub-Saharan countries. Therefore, this study aimed to determine the magnitude of psychological problems and associated factors among communities living in Addis Ababa, Ethiopia.
METHODS: A community-based cross-sectional study design was conducted from March 10 to 30, 2020. Data were collected from 420 respondents selected using a consecutive sampling technique. An online self-administered and Depression, Anxiety, and Stress Scale (DASS-21) survey during the initial phase of the pandemic was conducted to assess the presence of psychological problems for the last two weeks in response to the infection.
RESULTS: The magnitude of the psychological problem from moderate to severe levels was 66.4%. The predictor variables of the outcome were female gender, above the secondary level of education, monthly income below 3000 ETB, and more than three family size at 95% CI, P<0.05.
CONCLUSION: At the time of the initial COVID-19 pandemic in Ethiopia, nearly two-thirds of the respondents reported moderate to severe levels of psychological problems. Therefore, working on those identified factors would be vital to promote the mental resilience of a community towards the pandemic.
© 2020 Kassaw.

Entities:  

Keywords:  anxiety; coronavirus; depression; psychological problem; stress

Year:  2020        PMID: 32848481      PMCID: PMC7428405          DOI: 10.2147/PRBM.S256551

Source DB:  PubMed          Journal:  Psychol Res Behav Manag        ISSN: 1179-1578


Introduction

The 2019 coronavirus disease (COVID-19) pandemic has first occurred in Wuhan city of China.1 It has a wide coverage and death report as compared to the 2012 first Middle East respiratory syndrome (MERS) outbreak in Saudi Arabia.2 The distribution of the virus at a global level is about 6,175,207 cases (224,172 deaths), in Africa 74,663 cases (973 deaths), and Ethiopia 2336 cases (32 deaths).3 The pandemic is the global public health emergency due to its rapid transmission, the increment of the confirmed case, and death.4 It is highly contagious and transmits to humans through respiratory droplets, human body contact, surface contact, and symptoms were fever, cough, fatigue, breathing difficulty.5 The incubation period of the virus was from 2 to 11 days, and this helps for a quarantine period of duration for suspected cases.6 Individuals with other chronic medical conditions or age greater than 65 years were highly vulnerable to be infected and showed poor treatment outcome.7 The prevention strategies of the virus were to limit physical contact to the extent of home lockdown, avoid public meetings, minimize the number of passengers during transportation, and talk with keeping one-meter social distance, use of a facemask, and frequent hand washing with soaps and water.8 The most common mental and psychosocial disturbances seen during the previous outbreaks occurred in a different part of the world were hopelessness, anger, loss of interest, fear of death, the difficulty of initiating and maintaining sleep, loss of appetite, and anxiety.9–11 The current pandemic causes suicide, stress, confusion, anger, fear, frustration, boredom, financial loss, and stigma among confirmed cases and communities living in the world.12 During this pandemic period, having mental and psychological problems leads to poor self-hygiene, appetite, sleep, immunity status, and commitment to obey commands recommended by health professionals that all enhance the susceptibility for infection.13,14 After the occurrence of the pandemic, in Italy, 38%,15 china 53.8%,16 Australia 78%,17 France 38.6%18 and India 25.3%19 of the respondents were developed mild to moderate psychological distress including anxiety, stress and depression. The contributing factors for experiencing mental and psychological problems in response to the pandemic were female gender, older age, medical comorbidity, poor social support, more family size, low-income status, and educational level.15–18 To manage the mental health impacts of the pandemic, scholar recommends to limit the sources of stress, break the isolation with online communication media, regular sleep, and diet patterns, focus on the benefit of separation, ask professional for outpatient and inpatient mental health service.20,21 The mental health impact of this pandemic in developing countries might be significant due to limited resources, unintegrated health-care systems, and a lack of skilled health-care providers. Despite this fact, there are no adequate studies conducted in this regard. Therefore, this study aimed to determine the magnitude of psychological problems in response to the pandemic and its associated factor among communities living in Addis Ababa, the Capital city of Ethiopia. The results of this study will serve to generate appropriate mental health crisis management guidelines for the promotion of the psychosocial wellbeing of a community in response to the pandemic.

Methods

Study Design, Setting and Period

This study was a community-based cross-sectional study design conducted from March 10–30 at Addis Ababa, Capital city of Ethiopia, and the first Ethiopian city in which COVID-19 confirmed cases reported. Currently, six million peoples were living in the city.

Study Participants

The source of the population for this study was all social media users (Facebook and telegram) living in the town, Addis Ababa, and all users during the study period were study populations. The exclusion criteria of the study were all users less than 18 years of age.

Sample Size and Sampling Technique

The sample size was calculated using the single proportion formula by considering p value of the previous study done in china on the same pandemic 53.8%.16 The single proportion formula of cross-sectional study design (n = required sample size n= Z (α/2) 2 pq/d2) was used. To calculate final sample size, P= 0.54, q (1-p) = 0.46, 95% CI and 5% margin of error was used. n = required sample size n= Z (α/2) 2 pp./d2, p= 0.54 = (1.96) (1.96) (0.54) (0.46)/(0.05) (0.05) = 382 N = non-response rate 10% =38, the total sample size was, 382+ 38 = 420 The sampling technique was consecutive sampling.

Data Collection Procedures and Instruments

Two-master’s level of mental health and computer science professionals were involved in data collection using online self-administered questioner. After the preparation of the online data formats of the questioner, then sent to each respondent telegram and Facebook inbox messages, and they sent back to us as a reply after filling the questioner. The first part of the questioner was about the socio-demographic characteristics of the study participants. The second part of the questioner was Depression, Anxiety, and Stress Scale (DASS-21) used to determine the current mental health status of respondents in response to the COVID-19 pandemic. It has 21 items scored (0–3) and three subscales (anxiety, depression, and stress). The question item 21, 17, 16, 13, 10, 5, and 3 were items of the depression subscale. The score of depression subscale was Normal (0–9), Mild depression (10–12), Moderate depression (13–20), severe depression (21–27), and Extremely severe depression (28–42). Questions item 20, 19, 15, 9, 7, 4, and 2 were items of the anxiety subscale. The score of anxiety subscale was Normal (0–6), Mild (7–9), Moderate (10–14), Severe (15–19), and extremely severe (20–42). Questions items 18, 14, 12, 11, 8, 6, and 1 were items of the stress subscale. The score of stress subscale was Normal (0–10), Mild stress (11–18), Moderate stress (19–26), severe stress (27–34), and Extremely severe stress (35–42).22,23 The third part of the questioner was the current knowledge, attitude, and awareness (KAP) about the coronavirus (COVID-19). It has 20 items adopted from the world health organization.24

Data Quality Control

The English version of the questioner first translated into Amharic, the official language of the study area, and then back-translated to English to check the consistency of the English version questioner. The data collectors used the Amharic version of the questioner for data collection. The investigator conducted a pretest among 21 respondents before one week of the actual data collection. The researcher trained both the data collectors and supervisors for about four days about the purpose of the study. The supervisors checked all the data collectors at an online survey cite about the completeness of the questioner and discarded the incomplete before data entry.

Statistical Analysis

The data coded, entered, and checked on Epi-Data Version 3.4 and exported to SPSS (Statistical Package for Social Science) version 24 for analysis. A Bivariate logistic regression analysis at a p-value of ≤0.25 used to identify the association of each independent variable with the outcome variables. Bivariate logistic regression at p-value ≤0.25, used to identify variables candidate for multiple logistic regression analysis. Multivariable logistic regression analysis at p-value ≤0.05, used to control the possible effect of confounders and identify independent predictors of the outcome variable. Hosmer and Lemeshow goodness of fit test was used to check the model fitness.

Result

Socio-Demographic Characteristics

One-third of the respondents have a single marital status, and nearly two-thirds of the respondents have more than a secondary level of education. The mean age onset and monthly income of the respondents were 27 years and 3000 ETB, respectively (Table 1).
Table 1

Socio-Demographic Characteristics of Respondents Who Use Facebook and Telegram and Living in Addis Ababa, Ethiopia 2020 (N = 420)

VariablesCategoryFrequency(n=420)Percentage (%)
SexMale18945
Female23155
Marital statusSingle18644.2
Married9021.4
Divorced8420
Widowed6014.2
Educational statusPrimary4410.4
Secondary12028.5
More-than secondary25660.9
OccupationUnemployed9622.8
Housewife6014.2
Student9522.62
Private work8921.1
Government employee8019.0
Family sizeOne11326.9
Two10525
Three and above20248
Socio-Demographic Characteristics of Respondents Who Use Facebook and Telegram and Living in Addis Ababa, Ethiopia 2020 (N = 420)

Knowledge, Attitude, and Practice About Coronavirus

All respondents heard about the coronavirus, and their source of information was Facebook, TV, radio, Telegram, families, and friends. Nearly two-thirds of respondents were thinking, as coronavirus is very dangerous. One-third of the respondents reported as they used preventive measures such as washing their hands, wearing a facemask, and keeping a social distance (Table 2).
Table 2

Knowledge, Attitude and Practice Response of Respondents About Corona Virus Who Were Using Facebook and Telegram and Living in Addis Ababa (N=420)

Question ItemFrequencyPercent
Have you ever heard about the new coronavirus disease? (COVID-19)
 Yes420100
 No00
What do you know about the new coronavirus disease?
 I do not know anything255.9
 It’s a virus that can cause a disease34181.1
 It’s a government’s programme399.2
 It’s a TV/radio campaign153.5
What kind of information have you received about the disease?
 How to protect yourself from the disease?327.6
 Symptoms of the new coronavirus disease5613.3
 How it is transmitted5813.8
 What to do if you have the symptoms4711.1
 Risks and complications307.1
 Both protection and transmission18042.8
 All of the information above174
Where did you hear about the new coronavirus from?What channels or sources?
 Facebook only4510.7
 Telegram only153.5
 From Radio, Television, health workers, Telegram, Facebook and friend or family members information channel38090.4
Which channels/who do you trust the most to receive information related to coronavirus? (one or more options)
 Government Facebook, telegram television, Radio4310.2
 Private Facebook and telegram page368.5
 Community Health professional153.5
 Family members and friends307.1
 Both of government social media network and community health professionals28668
 All of the above102.3
How dangerous do you think the new coronavirus risk is?
 Very dangerous27064.2
 More or less dangerous13431.9
 Is not dangerous163.8
Who do you think is at highest risk to get the coronavirus?
 Children under 5 years old5212.3
 Adolescents up to 15 years old4512.8
 Youth255.9
 Adults307.1
 Elderly persons9021.4
 Pregnant women122.8
 Both under 5 years old and elders15035.7
 All of them equally163.8
Do you think you are likely to become sick with the new coronavirus?
 Yes5212.3
 No5613.3
 Don´t know31274.2
How does the coronavirus spread?
 Blood transfusion122.8
 Droplets from infected people419.7
 Airborne5011.9
 Direct contact with infected people.6014.2
 Touching contaminated objects/surfaces6715.9
 Sexual intercourse contact40.9
 Contact with contaminated animals61.4
 Mosquito bites0
 Eating contaminated food71.6
 Drinking unclean water112.6
 Do not know30.7
 From direct contact from infected people droplet, air borne, and contaminated objects/surface14534.5
 From all of the above143.3
What are the main symptoms?
 Fever4510.7
 Cough7818.5
 Shortness of breath and breathing difficulties348
 Muscle pain5212.3
 Headache317.3
 Diarrhea215
 Do not know61.4
 No symptoms102.3
 Fever, cough, shortness of breath, muscle pain, headache and diarrhea14334
Do you know how to prevent it? (One or more options)
 Sleep under the mosquito net30.7
 Wash your hands regularly using alcohol or soap and water7517.8
 Drink only treated water368.5
 Cover your mouth and nose when coughing or sneezing4510.7
 Avoid close contact with anyone who has a fever and cough5914
 Eliminate standing water122.8
 Cook meat and eggs well163.8
 Avoid unprotected direct contact with live animals and surfaces in contact with animals51.1
 Do not know71.6
 All of this including washes your hands regularly using alcohol or soap and water, cover your mouth and nose when coughing or sneezing and Avoid close contact with anyone who has a fever and cough16238.5
What have you and your family done to prevent becoming sick with coronavirus in the recent days?
 Washing hands regularly using alcohol-based cleaner or soap/water12329.2
 Covering mouth and nose when coughing or sneezing5412.8
 Avoid close contact with anyone who has a fever and cough4711.1
 Eliminate standing water51.1
 Cook meat and eggs well61.4
 Avoid unprotected direct contact with live animals and surfaces in contact with animals.81.9
 Do not know92.1
 All above the above16840
Do you consider important to take actions to prevent the spread of coronavirus in your community?
 Yes41298
 No00
 Do not know82
What to do if you or someone from your family has symptoms of this disease?
 I will look for a more experienced relative to advise me on what to do7417.6
 I will go to the hospital/health unit12028.5
 I will go to the neighborhood nurse4610.9
 I will buy medicines at the market358.3
 I will look for the traditional healer13431.9
 I would stay in quarantine112.6
What more would you like to know about the disease?
 How to protect yourself from the disease?153.5
 Symptoms of the new coronavirus disease327.6
 How it is transmitted5613.3
 What to do if you have the symptoms10424.7
 Most at risk groups5312.6
 How to treat it9322.1
 All of the above6715.9
Do you think the coronavirus disease is generating stigma against specific people? To whom?
 Yes39092.8
 No307.1
If yes) Which group is being dis-criminated in your community because of coronavirus?
 Chinese8520.2
 Italians9522.6
 Asian5613.3
 Americans8019
 Ethiopians came from abroad4711.1
 Those who cough due to different reason5713.5
For the past 2 weeks do you have either one or more of the following symptoms cough, fever, sore throat, myalgia, dizziness, breathing difficulty and chili’s?
 Yes13030.9
 No29069.1
Past two-week recent contact with persons who came from abroad
 Yes35384%
 No6716%
Knowledge, Attitude and Practice Response of Respondents About Corona Virus Who Were Using Facebook and Telegram and Living in Addis Ababa (N=420)

Prevalence of Psychological Problem

Nearly two-thirds (66.4%) of the respondents had moderate to severe levels of a psychological problem, 36% anxiety, 12.4% depression, and 18% stress (Figure 1).
Figure 1

The current psychological problem in response to COVID-19 among respondents living in Addis Ababa, Ethiopia (N=420).

The current psychological problem in response to COVID-19 among respondents living in Addis Ababa, Ethiopia (N=420).

Factors Associated with Psychological Problems

During multivariate logistic regression analysis, the independent predictor variables were Gender, educational status, monthly income, family size, contact with the person came abroad, and history of chills and fever at p< 0.05 (Table 3).
Table 3

Factors Associated with Psychological Problem in Response to COVID-19 Pandemic Among Respondents Living in Addis Ababa, Ethiopia 2020 (N=420)

VariablesBivariate Logistic RegressionMultivariable Logistic Regression
StressAnxietyDepressionStressAnxietyDepression
Crude Odds RatioCrude Odds RatioCrude Odds RatioAdjusted Odds RatioAdjusted Odd RatioAdjusted Odd Ratio
Sex
 Male111111
 Female2.24P=(0.23)1.45P=(0.12)1.75p=0.052.56(2.01–3.45) **1.34(1.21–1.95)*1.63(1.34–2.45)*
Marital status
 Single111111
 Married1.28P=(0.45)2.31P=0.633.45P=0.75
 Divorced0.841(P=0.35)1.56P=0.612.89P=0.90
 Widowed5.15(p=0.67)1.67P=0.593.14P=0.78
 Separated1.38(P=0.71)2.13P=0.593.21P=0.83
Educational status
 Primary111111
 Secondary level of education2.68P=0.342.13P=0.572.49P=0.65
 More than secondary2.90P=0.051.72P=0.052.21P=0.022.73(2.12–3.16)**1.69(1.34–2.56)**2.23(2.12–2.92)**
Occupation
 Unemployed111
 Housewife4.24P=0.492.91P=0.762.73P=0.42
 Student3.56P=0.712.99P=0.541.23P=0.94
 Private work1.67P=0.592.73P=0.390.232P=0.51
 Government employee2.89P=0.632.12P=0.412.81P=0.50
Monthly income
 ≥3000 ETB11111
 Below 3000 ETB2.87P=0.0012.12P=0.022.01P=0.012.73 (2.23–3.12)**2.07(1.93–2.94)**1.82(1.72–2.90)**
Family size
 1111111
 21.12P=0.281.32P=0.311.10P=0.35
 ≥ 31.56P=0.081.30P=0.121.39P=0.211.51(1.32–1.76)*1.25(1.21–1.41)*1.23(1.13–1.62)**
Past two-week History of headache, chills, fever, sore throat and cough
 Yes4.42P=0.0013.21P=0.012.73P=0.024.12(3.21–5.89) **3.05(2.78–3.13)**2.45(2.31–3.48)**
 No111111
Past two-week recent contact with persons who came from abroad
 Yes2.35P=0.053.32P=0.022.12P=0.012.12(2.10–2.83)**2.67(2.13–3.12)**1.59 (1.12–1.74)*
 No111111

Notes: Crude odds ratio p ≤ 0.25, were selected for multi variable regression, adjusted odd ratio p ≤ 0.05 selected for independent predictor for the outcome variable. 1.00 remained for reference category, *Significance at p-value <0.05, **Significance at p-value <0.001.

Abbreviations: OR, odds ratio; CI, confidence interval.

Factors Associated with Psychological Problem in Response to COVID-19 Pandemic Among Respondents Living in Addis Ababa, Ethiopia 2020 (N=420) Notes: Crude odds ratio p ≤ 0.25, were selected for multi variable regression, adjusted odd ratio p ≤ 0.05 selected for independent predictor for the outcome variable. 1.00 remained for reference category, *Significance at p-value <0.05, **Significance at p-value <0.001. Abbreviations: OR, odds ratio; CI, confidence interval.

Discussion

This study found that 66.4% of the respondents were experienced moderate to severe form psychological problems, including stress, anxiety, and depression in response to COVID-19 pandemic. This result was very high and implicated, as there is a need for immediate mental health crisis intervention. This study finding was higher than the study done in Italy, 38%,15 china 53.8%,16 Australia 78%,17 France 38.6%,18 and India 25.3%.19 It might be due to the difference in socioeconomic, cultural, and environmental factors such as literacy, norms, attitudes, and resources contribute to coping with the psychological crisis of the pandemic. This study found that being female gender was the independent predictor for the psychological problem in response to the pandemic. This finding was consistent with other studies done in Italy,15 France,18 and china.16 Naturally, females have a low level of tolerance for stressful situations. In Ethiopia, females have a high responsibility for the health of the family. The current research found that having more than a secondary level of education had two times more to develop the psychological problem as compared to those who had primary level education. This result was inconsistent with the studies done in Russia25 and China.26 It might be due to a chance to work outside the home through contact with different people and high expectations from the community and government in controlling and preventing the pandemic with limited resources. This study found that monthly income less than 3000 ETB had two times the odds of having psychological problems. This finding was similar to a study done in Saudi Arabia.27 Among low-income respondents, the socioeconomic impact of a virus might be much significant to the extent of unable to buy safety measures of prevention, such as facemask, soaps, and sanitizers. In-addition during this pandemic period, they were not able to fulfill their basic needs of day-to-day life. The current study found that having more than three family size at home was associated with psychological problems in response to the pandemic, and this is in agreement with a study done in India.19 The number of family member contribute to contracting the virus due to the high chance of contact with different people. This study revealed that respondents with the past two weeks of chills, fever, cough, and dizziness over the past two weeks had three times increased the odds of having psychological problems in response to the pandemic. This finding was similar to the study done in China.16 A similar presentation of the current symptoms with coronavirus symptoms leads to misinterpretation of being infected with the virus. The odds of developing psychological problem among those who had recent contact with peoples who came abroad were two times higher than as compared to those who no history of contact with foreign peoples. This result supported by the studies done in Italy.15 In Ethiopia, the first confirmed case was a man who came from Japan, and thus contacting foreign peoples and came from abroad would result in a high chance of worry about getting the infection.

Limitation of the Study

It was a cross-sectional study design, challenging to conclude regarding causality and alternative explanations of the findings. The data collection method of this study was an online-administered questioner that is prone to information bias.

Conclusions

Most of the respondents (66.4%) had a psychological problem, and the modifiable factors of this study were monthly income below 3000 ETB, current symptoms of chills, fever, cough, and dizziness and having recent contact with people who came from abroad. Therefore, government and private health sector organizations were highly responsible for preventing and controlling the mental health crisis of the pandemic through transmitting up-to-date and specific information through different social media about the prevention of the virus, what to do if the symptoms occur to themselves, family and community. There should be a continuous supply of precautionary preventive equipment, including facemask, water, soap, alcohol, and sanitizer for those who had more than three family members and low income. The mental health professional should give on-call, outpatient, and inpatient mental health services for clients who developmental and psychological problems in response to the epidemic. The pandemic task force groups of the country might use these findings to formulate an emergency mental health intervention guideline to promote the psychological resilience of a community in response to the COVID-19 pandemic.
  14 in total

1.  China coronavirus: WHO declares international emergency as death toll exceeds 200.

Authors:  Elisabeth Mahase
Journal:  BMJ       Date:  2020-01-31

2.  The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: results from 36 national telephone surveys in the UK.

Authors:  G J Rubin; H W W Potts; S Michie
Journal:  Health Technol Assess       Date:  2010-07       Impact factor: 4.014

3.  Outbreak of Middle East respiratory syndrome coronavirus in Saudi Arabia: a retrospective study.

Authors:  Fadilah Sfouq Aleanizy; Nahla Mohmed; Fulwah Y Alqahtani; Rania Ali El Hadi Mohamed
Journal:  BMC Infect Dis       Date:  2017-01-05       Impact factor: 3.090

4.  Acute mental health responses during the COVID-19 pandemic in Australia.

Authors:  Jill M Newby; Kathleen O'Moore; Samantha Tang; Helen Christensen; Kate Faasse
Journal:  PLoS One       Date:  2020-07-28       Impact factor: 3.240

5.  Multi-level predictors of psychological problems among methadone maintenance treatment patients in difference types of settings in Vietnam.

Authors:  Tuan Anh Le; Mai Quynh Thi Le; Anh Duc Dang; Anh Kim Dang; Cuong Tat Nguyen; Hai Quang Pham; Giang Thu Vu; Chi Linh Hoang; Tung Thanh Tran; Quan-Hoang Vuong; Tung Hoang Tran; Bach Xuan Tran; Carl A Latkin; Cyrus S H Ho; Roger C M Ho
Journal:  Subst Abuse Treat Prev Policy       Date:  2019-09-18

Review 6.  The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak - an update on the status.

Authors:  Yan-Rong Guo; Qing-Dong Cao; Zhong-Si Hong; Yuan-Yang Tan; Shou-Deng Chen; Hong-Jun Jin; Kai-Sen Tan; De-Yun Wang; Yan Yan
Journal:  Mil Med Res       Date:  2020-03-13

7.  The 1995 Kikwit Ebola outbreak: lessons hospitals and physicians can apply to future viral epidemics.

Authors:  Ryan C W Hall; Richard C W Hall; Marcia J Chapman
Journal:  Gen Hosp Psychiatry       Date:  2008-07-23       Impact factor: 3.238

8.  The consequences of the COVID-19 pandemic on mental health and implications for clinical practice.

Authors:  Andrea Fiorillo; Philip Gorwood
Journal:  Eur Psychiatry       Date:  2020-04-01       Impact factor: 5.361

9.  Psychosocial and coping responses within the community health care setting towards a national outbreak of an infectious disease.

Authors:  Kang Sim; Yiong Huak Chan; Phui Nah Chong; Hong Choon Chua; Shok Wen Soon
Journal:  J Psychosom Res       Date:  2009-05-17       Impact factor: 3.006

Review 10.  Progression of Mental Health Services during the COVID-19 Outbreak in China.

Authors:  Wen Li; Yuan Yang; Zi-Han Liu; Yan-Jie Zhao; Qinge Zhang; Ling Zhang; Teris Cheung; Yu-Tao Xiang
Journal:  Int J Biol Sci       Date:  2020-03-15       Impact factor: 6.580

View more
  14 in total

1.  COVID-19-Induced Anxiety and Associated Factors Among Urban Residents in West Shewa Zone, Central Ethiopia, 2020.

Authors:  Adamu Birhanu; Takele Tiki; Mulugeta Mekuria; Delelegn Yilma; Getu Melese; Benyam Seifu
Journal:  Psychol Res Behav Manag       Date:  2021-02-09

Review 2.  Magnitude and determinants of the psychological impact of COVID-19 among health care workers: A systematic review.

Authors:  Firomsa Bekele; Mohammedamin Hajure
Journal:  SAGE Open Med       Date:  2021-04-25

3.  The prevalence of general anxiety disorder and its associated factors among women's attending at the perinatal service of Dilla University referral hospital, Dilla town, Ethiopia, April, 2020 in Covid pandemic.

Authors:  Chalachew Kassaw; Digvijay Pandey
Journal:  Heliyon       Date:  2020-11-24

4.  The Prevalence and Predictors of Depressive, Anxiety, and Stress Symptoms Among Tepi Town Residents During the COVID-19 Pandemic Lockdown in Ethiopia.

Authors:  Seid Ali Tareke; Mesfin Esayas Lelisho; Sali Suleman Hassen; Adem Aragaw Seid; Sebwedin Surur Jemal; Belete Mulatu Teshale; Teramaj Wongel Wotale; Binay Kumar Pandey
Journal:  J Racial Ethn Health Disparities       Date:  2022-01-14

5.  Levels and predictors of anxiety, depression, and stress during COVID-19 pandemic among frontline healthcare providers in Gurage zonal public hospitals, Southwest Ethiopia, 2020: A multicenter cross-sectional study.

Authors:  Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie
Journal:  PLoS One       Date:  2021-11-29       Impact factor: 3.240

Review 6.  Prevalence and associated factors of the psychological impact of COVID-19 among communities, health care workers and patients in Ethiopia: A systematic review.

Authors:  Firomsa Bekele; Desalegn Feyissa Mechessa; Birbirsa Sefera
Journal:  Ann Med Surg (Lond)       Date:  2021-05-25

7.  One in Five Street Traditional Coffee Vendors Suffered from Depression During the COVID-19 Pandemic in Harar Town, Ethiopia.

Authors:  Mekonnen Sisay; Tigist Gashaw; Natanim Degefu; Bisrat Hagos; Addisu Alemu; Zenebu Teshome; Mekonnen Admas; Haregeweyn Kibret; Yadeta Dessie
Journal:  Neuropsychiatr Dis Treat       Date:  2021-07-06       Impact factor: 2.570

8.  COVID-19 Pandemic in Portugal: Psychosocial and Health-Related Factors Associated with Psychological Discomfort.

Authors:  José Pais-Ribeiro; Alexandra Ferreira-Valente; Margarida Jarego; Elisabet Sánchez-Rodríguez; Jordi Miró
Journal:  Int J Environ Res Public Health       Date:  2022-03-15       Impact factor: 3.390

9.  The Psychological Impacts During the Initial Phase of the COVID-19 Outbreak, and its Associated Factors Among Pastoral Community in West Omo Zone, South-West Ethiopia, 2020: A Community-Based Study.

Authors:  Nigusie Shifera; Gebremeskel Mesafint; Alemayehu Sayih; Gizachew Yilak; Abebaw Molla; Tewodros Yosef; Rahel Matiyas
Journal:  Psychol Res Behav Manag       Date:  2021-06-22

10.  Depression and anxiety symptoms to COVID-19 outbreak among the public, medical staff and patients during the initial phase of the pandemic: an online questionnaire survey by a WeChat Mini Program.

Authors:  Xianglan Wang; Jiong Tao; Xiaoying Wang; Nianhong Guan; Qi Zhu; Xiuhua Wu; Tong Li; Chongbang Zhao; Weirui Yang; Jinbei Zhang
Journal:  BMJ Open       Date:  2021-06-24       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.