Literature DB >> 27247151

Access to health in city slum dwellers: The case of Sodom and Gomorrah in Accra, Ghana.

Frances E Owusu-Ansah1, Harry Tagbor, Mabel Afi Togbe.   

Abstract

BACKGROUND: Rapid rural-urban migration of people to cities is a reality around the globe that has increased city slum dwellers. Sodom and Gomorrah is a city slum located in the heart of Accra, Ghana. Like other slums, it lacks basic amenities necessary for dwellers' quality of life. This study describes residents' access to health and factors associated with the use of healthcarefacilities.
METHODS: Questionnaires were administered in systematically selected shacks across the entire slum. Data on demographic characteristics, existent health facilities and number of users, health-insured residents and knowledge of common diseases were collected.
RESULTS: Majority of the residents were from the northern parts of Ghana, relative to the south and a few of them come from other parts of West Africa. Seventy-one percent of residents had never visited a health facility in the last 5 years. When necessary, they access health care from drug stores (61.1%) or hospitals (33.1%). Residents' age, educational status, income, health knowledge and membership of National Health Insurance Scheme were significantly (p < 0.05) associated with the use of healthcare facilities. Younger residents and those without National Health Insurance Scheme membership, formal education, no knowledge of common illnesses and regular income were significantly less likely to use a healthcare facility. For most residents, neither distance (73.2%) nor transportation to health facilities was a problem (74.1%).
CONCLUSION: Conditions of profound environmental hazards, overcrowding, poor-quality housing and lack of health care in Sodom and Gomorrah pose grave threats to the health of the inhabitants. Multisectoral interventions and resource mobilisation championed by the Ministry of Local Government and Rural Development are needed to alter the trend.

Entities:  

Keywords:  Ghana.; Slum dwellers; Sodom and Gomorra; access; health

Mesh:

Year:  2016        PMID: 27247151      PMCID: PMC4827165          DOI: 10.4102/phcfm.v8i1.822

Source DB:  PubMed          Journal:  Afr J Prim Health Care Fam Med        ISSN: 2071-2928


Background

A slum, according to the United Nations and UN-Habitat, is a run-down area of a city characterised by poor substandard structural quality of housing, insecure residential status, squalor, overcrowding and lack of basic amenities.[1,2,3] Slums are usually inhabited by the very poor or socially disadvantaged groups, with a yearly increase in city slum dwellers in developing countries because of population growth and rural-urban migration.[1,2,3,4] Poverty in the slums is reflected in the inadequate access to basic human needs such as clean water, nutrition, clothing, shelter, education and health care.[5,6] Slum dwellers are caught up in a vicious cycle of economical and psychological poverty. Stack poverty makes it difficult for them to afford many essentials of life; they experience grave deprivation pushing them into a state of despondency.[1,2,3] City slums may geographically be close to healthcare facilities, yet residents are deprived of access to needed health care resulting in negative economic and health consequences.[7] The overcrowding and poor housing coupled with the dirt and squalor and lack of financial resources contribute to the presence and spread of varied infectious diseases in slums, affecting women and children mainly.[1,2,3,8,9,10] Maternal mortality, high vulnerability to HIV infection, high unmet need for family planning and developmental challenges in children and adolescents are just a few of the many negative results of poor access to health in city slums.[10,11,12,13,14,15] Improving living conditions and access to quality health care for all, particularly for slums dwellers, is central to development and speedy realization of the Millennium Development Goals (MDGs) in any country. Efforts towards achieving the first MDG goal, eradication of extreme poverty, through cross-cutting appears more urgent in slums where poverty is demonstrably present.[1,6,8] Three of the MDGs − 4, 5, and 6 − specifically focus on health and seek to reduce infant and maternal mortality and combat diseases such as HIV and malaria, conditions which are unfortunately rampant in slums.[3,16] To be effective, interventions aimed at making lasting changes must be context-specific, empowering and evidence-based. It is in this regard that research in this area is essential if strategies are to produce the desired outcomes. The purpose of the study was to examine health issues in Sodom and Gomorrah in Accra, Ghana, and factors that may be associated with accessing healthcare facilities in the last year. This study is timely in the light of the fact that even though a plethora of studies on slums exist, very few have looked at the situation in sub-Saharan Africa and studies on Ghana are practically nonexistent. Because slums around the globe share similar characteristics of poverty and deprivations in many spheres of life, including health care,[3,4,8,10,11,14,16,17,18,19] it is expected that findings from this study can provide insights into some of the health issues of other city slums within the country and sub-Saharan Africa for appropriate and targeted interventions.

Methods

Study area and population

The survey was conducted in Sodom and Gomorrah, a slum within Accra city, near the Korle Bu Teaching Hospital (KBTH). It stretches across 146 hectares and houses an estimated 25 000 to 40 000 residents. Residents are ethnically diverse, mostly poor, barely educated and generally unemployed or engaged in odd, nonpermanent jobs. Sodom and Gomorrah is characterised by poor housing, dirt and squalor, overcrowding and inadequate access to safe and clean water, sanitation and other infrastructure. It is one of the world’s digital dumping grounds, where millions of electronic waste products from the West are crudely processed each year.[20] The study population consisted of adults in the Sodom and Gomorrah community who were heads of their respective dwellings or households.

Study size and sampling technique

This was a cross-sectional study. We conceptualised that access to health care in the slum was low and influenced by factors such as availability of health facilities, pattern of health facility use, based in part on knowledge of common illnesses, and on acquisition of health insurance to facilitate use of available health services. Based on this, we selected a total of 465 adults in the community who were heads of their respective dwellings or households. This sample size was deemed sufficient to estimate with 95% confidence that the proportion of Sodom and Gomorrah dwellers who used a healthcare facility in the last 1 year prior to this survey will not differ from 55% (the proportion of rural populations in Ghana who consult medical personnel)[21] by 5 percentage points and accounting for 10% nonresponse. For convenience and with the aim of covering all parts of the slum, the slum was divided into four areas and in each of these areas, the first household was selected and entered and subsequently every third household were entered till the required sample size was achieved.

Data collection and analysis

A structured questionnaire with close-ended questions on respondent demographics, use of health facility in the last 1 year, membership of National Health Insurance Scheme (NHIS) and knowledge of causes, signs and symptoms, treatment and prevention of common illnesses in the community was used for data collection. Other data collected on potential barriers to the access and use of healthcare facilities included attitude of healthcare providers, distance to nearest health facility and access to transportation. The questionnaire was independently reviewed and edited by the investigators to ensure quality control and appropriateness for study. The questionnaire was pretested in Makola in the central business district of Accra amongst 50 head porters and truck pushers at the close of day when they were readily available. Pretesting of the questionnaire was done in this group because the investigators perceived that they are similar to the slum residents in demographic characteristics and hassled life styles. Pretesting of the questionnaire did not reveal any need for changes. A research assistant and her team were trained on the administration of the questionnaire to ensure uniformity and consistency in their approach. The questionnaire was administered individually to participants by a team led by the research assistant moving from dwelling to dwelling within the slum over a 2-week period in December 2011. Respondents were approached by the research assistant and her team who explained in detail the purpose of the study and solicited participation. Data were entered in Microsoft Office Excel, 2007. A composite indicator for health knowledge based on knowledge of causes, signs and symptoms, and prevention of malaria and cholera and common illnesses mentioned was constructed. Questions assessing knowledge were grouped under six blocks, which are causes of malaria, signs and symptoms of malaria, prevention of malaria, signs and symptoms of cholera, prevention of cholera and knowledge of other illnesses in the slum. Respondents’ knowledge was graded as good if they provided at least one correct response for each block. Respondents’ knowledge was graded as fair if they provided at least one correct response for only four or five blocks. Respondents’ knowledge was graded as poor if they provided at least one correct response for only three or less blocks. Stata 12.1[22] was used for data processing and analysis. Chi-squared test was used to assess statistical differences between independent categorical variables in the levels of use of formal health care. Risk ratio (RR) estimates and their confidence intervals were estimated by using the modified Poisson regression with a robust error variance. Adjusting the RR for other predictors or potential confounders was done by adding them to the model statement. A p-value of ≤ 0.05 is considered statistically significant.

Ethics statement

Ethical approval for this study was granted by the Committee on Human Research, Publications and Ethics, Kwame Nkrumah University of Science and Technology, School of Medical Sciences, Kumasi, Ghana. Written informed consent was sought from all participants and consent obtained before questionnaires were administered. Illiterate participants thumb printed and/or gave verbal consent after they had been provided with adequate information about the study and had all their concerns and/or questions answered.

Results

We sampled a total of 465 slum dwellers. Two were excluded from the analysis because of nonresponses. The Sodom and Gomorrah community has no hospitals or clinics. The residents said they mostly accessed health care from two drug stores in the slum and from herbalists. A few attended the Cathedral Clinic nearby in the past and only one respondent had ever attended the KBTH, which is a tertiary health facility in the city of Accra. Some demographic characteristics of the participants are presented in Table 1. The majority of respondents were male residents (64.4%). The median age of respondents was 24 years and ranged from 18 to 59 years. The vast majority of respondents (70.5%) were engaged in nonformal employment, 15.9% had formal employment and the rest (13.5%) were unemployed. Around 60% of the respondents had had at least a primary-level of education. Majority of the residents (71.2%) had never visited a health facility anytime in the past. The few (28.8%) who claimed they did could not recollect their last visit but admitted doing so sporadically in the last 1 or more years ago. When specifically asked, about 29% of them said they had accessed a formal healthcare unit (hospital, clinic or health centre) in the past 1 year. To meet their health needs, 61.1% of the residents relied on drug stores, self-medication (3.3%) or consulted the herbalist (2.4%).
TABLE 1

Some characteristics of residents of Sodom and Gomorrah.

Characteristicsn%
Sex
Male29864.4
Female16535.6
Age
18–2112630.66
22–2514435.04
26 and above14134.31
Mean (SD)25.6(7.5)
Median (interquartile range)24(7)
Ethnic origin
Southern16435.9
Northern26157.1
Foreign327.0
Ever visited a health facility
During last year7215.9
More than a year ago5812.8
Never32271.2
Use of health facility
Yes13629.4
No32770.6
NHIS membership
Yes9019.4
No37380.6
Meeting health needs
Hospital14933.1
Chemical shop27561.1
Herbalist112.4
Self-medication153.3
Transportation to health facility
No problem33874.1
A problem11825.9
Distance to health facility
No problem33373.2
A problem12226.8

NHIS, National Health Insurance Scheme; SD, standard deviation.

Some characteristics of residents of Sodom and Gomorrah. NHIS, National Health Insurance Scheme; SD, standard deviation. Majority of them (80.6%) were not registered members of the NHIS at the time of the survey. They cited lack of money (45.5%) for the initial registration as the main reason for not having a national health insurance membership. Other reasons included inconvenience (13.4%), no need for it (9.1%) and other unexplained reasons (14.7%). The respondents were predominantly from the northern parts of Ghana, relative to the south. A few of them were from the West African subregion. According to the residents, malaria and diarrhoeal diseases were the most prevalent illnesses in the slum because of the prevailing poor sanitation conditions. They also mentioned mental illness, HIV and convulsion in the young, though these were less frequent. Using malaria and cholera, we gauged residents’ health awareness by asking about the causes, symptoms and signs, and methods of prevention of the two diseases. Majority of the respondents (47.7%) had good knowledge about the causes, symptoms and signs of these illnesses and measures to prevent their occurrence (Table 2).
TABLE 2

Assessment of residents’ knowledge on common illnesses.

Characteristicsn%
Prevalent illnesses
Malaria15334.5
Diarrhoea8619.4
Respiratory tract infections4710.6
HIV143.2
Mental illness5312.0
Other9020.3
Causes of malaria
Mosquito bites30467.7
Choked gutters276.0
Rubbish damps235.1
Open gutters81.8
Stagnant waters61.3
Others8118.0
Malaria prevention
Clean environment17640.7
Insecticide treated net use12629.2
Screen entrances153.5
Use insecticides7116.4
Others4410.2
Malaria symptoms
Fever14933.1
Headache5211.6
Chills6213.8
Vomiting357.8
Weakness6614.7
Loss of appetite163.6
Others7015.6
Symptoms of cholera
Watery stools29364.8
Vomiting5512.2
Weakness306.6
Loss of appetite61.3
Others6815.0
Cholera prevention
Good hygiene25163.5
Eat clean food7218.2
Use clean water41.0
Clean hands5714.4
Hygienic food handling112.8
Overall knowledge score
Poor5511.88
Fair18740.39
Good22147.73
Assessment of residents’ knowledge on common illnesses. Factors associated with the use of formal healthcare facilities amongst the slum dwellers are presented in Tables 3 and 4. Residents aged 26 years or more and those having primary education (6 years of basic education) or higher were significantly more likely to use a formal healthcare facility. However, residents with poor knowledge of causes, signs and symptoms, and prevention of common illnesses in the community and those without jobs or regular incomes and those without NHIS membership were significantly less likely to use a formal healthcare facility. Ethnic origin and gender seemed not to have a significant effect on the use of formal healthcare facilities. Adjusting for the estimated RRs by including all these predictors in the model showed that the level of education, membership of NHIS, overall knowledge of common illnesses in the community and income level are the main factors that determined whether a resident used a formal health. Neither distance (73.2%) nor transportation to health facility was a problem (74.1%) hindering their use of formal health care by residents.
TABLE 3

Factors associated with utilisation of health care by residents of Sodom and Gomorrah.

Associated factorsUsed healthcare facilityp-value

NoYesTotal



n%n%n%
Sex
Male20462.399469.1229864.360.168
Female12337.614230.8816535.64
Age category
18–219432.643226.0212630.660.015
22–2510837.53629.2714435.04
26 and above8629.865544.7214134.31
Marital status
Married11736.345541.6717237.890.288
Not married20563.667758.3328262.11
Education
No education14645.483526.5218139.96< 0.001
Primary education12137.696146.2118240.18
Secondary education5416.823627.279019.87
Ethnic origin
Southern10933.755541.0416435.890.003
Northern19861.36347.0126157.11
Foreign164.951611.94327
Occupation
Earn regular income4212.963123.137315.940.007
No regular job/income28287.0410376.8738584.06
NHIS membership
Yes4814.684230.889019.44< 0.001
No27985.329469.1237380.56
Knowledge of symptoms
Some knowledge4614.073022.067616.410.034
No knowledge28185.9310677.9438783.59
Overall knowledge score
Poor309.172518.385511.880.006
Fair12939.455842.6518740.39
Good16851.385338.9722147.73
Has chronic illness
No30394.3912390.4442693.220.125
Yes185.61139.56316.78
Transportation to facility
Not a problem25479.388461.7633874.12< 0.001
A problem6620.635238.2411825.88
Distance to facility
Not a problem24175.319268.1533373.190.115
A problem7924.694331.8512226.81
Staff attitude
Not a problem17755.148865.1926558.110.047
A problem14444.864734.8119141.89

NHIS, National Health Insurance Scheme.

TABLE 4

Estimates of relative risk of predictors of utilisation of health care by residents of Sodom and Gomorrah.

Predictors of healthcare useRisk ratio95% Confidence intervalp-valueIRR95% Confidence intervalp-value
Sex
MaleReferenceReference
Female0.810.59–1.100.1761.140.82–1.570.434
Age category
18-ReferenceReference
22-0.980.65–1.480.941.080.69–1.660.732
26-1.541.06–2.210.0211.510.99–2.280.053
Marital Status
MarriedReferenceReference
Not married0.850.63–1.140.2851.340.96–1.870.082
Education
No educationReferenceReference
Primary education1.731.20–2.480.0031.571.06–2.300.023
Secondary education2.071.39–3.05< 0.0011.721.11–2.660.014
Ethnic origin
SouthernReferenceReference
Northern0.720.53–0.970.0340.980.71–1.340.912
Foreign1.490.99–2.240.0551.180.69–2.010.541
Occupation
Earn regular incomeReferenceReference
No regular job/income0.630.46–0.860.0040.700.50–0.960.031
NHIS membership
YesReferenceReference
No0.540.40–0.71< 0.0010.550.39–0.75< 0.001
Knowledge of symptoms
Some knowledgeReferenceReference
No knowledge0.690.50–0.950.0260.610.43–0.850.004
Overall knowledge score
PoorReferenceReference
Fair0.680.47–0.970.0380.640.42–0.960.033
Good0.530.36–0.760.0010.440.28–0.66< 0.001
Has chronic illness
NoReferenceReference
Yes1.450.93–2.250.0971.450.86–2.440.158
Transportation to facility
Not a problemReferenceReference
A problem1.771.34–2.33< 0.0011.621.17–2.230.003
Distance to facility
Not a problemReferenceReference
A problem1.280.94–1.710.1081.010.71–1.430.943
Staff attitude
Not a problemReferenceReference
A problem0.740.54–1.000.0510.770.55–1.070.122

NHIS, National Health Insurance Scheme.

Factors associated with utilisation of health care by residents of Sodom and Gomorrah. NHIS, National Health Insurance Scheme. Estimates of relative risk of predictors of utilisation of health care by residents of Sodom and Gomorrah. NHIS, National Health Insurance Scheme.

Discussion

In this study, we assessed utilisation of formal healthcare services by residents of Sodom and Gomorrah as a measure of access to and use of health care. We found that the majority of those sampled were youthful but unskilled, often jobless, and paid less attention to their health and general welfare. Majority of respondents had at least a primary-level education and a good overall knowledge about prevalent illnesses amongst residents of the slum. Just about 2 out of 10 respondents had an NHIS membership. A resident with NHIS membership was more than twice as likely to use a formal healthcare facility. Sodom and Gomorrah is centrally located in Accra and just about 300 m from the KBTH and even closer to other smaller health facilities. Indeed, the respondents indicated that neither distance nor access to transportation hindered them from using a health facility. Despite the central location of the slum and its proximity to healthcare facilities, it was interesting to note that less than 3 out of 10 used formal health care when they had need for it. They chose instead to seek from other sources. However, Agarwal and colleagues[16] suggest that this is not always the case. They argued that if health authorities appropriately respond, proximity to formal healthcare facilities leads to improved health awareness, which positively influences healthcare use and health-seeking behaviour.[16] The main health problems prevalent in this slum were malaria and diarrhoeal diseases. This is not surprising as the community has no pipe-borne water or good sanitary facilities. Sanitation is generally poor. There are no well-constructed gutters or drainage systems to allow easy flow of water. The few open gutters are choked with debris, resulting in dirty stagnant ponds and flooding during the rainy season. Houses are overcrowded and all-purpose. This is typical of slums as was observed in other studies conducted in slums.[5,6,8,23] Living in slums under deprived conditions is a major cause of ill-health and slum dwellers suffer disproportionately from ill-health throughout their life course.[3,5,24,25,26,27] It was observed that residents of Sodom and Gomorrah live in poor shacks primarily built or held together with old roofing sheets, plywood and/or cardboard papers. Children appeared neglected and malnourished, whilst adults loiter around smoking marijuana, sometimes with young children looking on. These conditions characterise Sodom and Gomorrah as a slum as defined operationally by the UN.[28] However, it is difficult to explain why residents ‘feel’ at home under such profound deprivation prevailing in Sodom and Gomorrah. It is also needless to argue the circumstances leading to the creation of this slum as the demographic and socio-economic indicators are similar to those found in slums worldwide.[1,2] However, the existence of such slums may be an expression of social exclusion. Slums appear to have intergenerational negative effects because children born in the slum have a slim chance of breaking through the poverty cycle. The significance of this study is its novelty and the information gleaned about the lives of slum dwellers within the city of Accra thus providing clues for effective interventions to improve the quality of their lives. These results suggest that proximity of Sodom and Gomorrah to a tertiary health facility and many others in the centre of Accra did not necessarily encourage their patronage amongst the residents. However, just as it is the case for most Ghanaians, health-seeking behaviour is influenced by cultural and religious beliefs and practices.[29,30,31,32] This study, however, did not include a qualitative component to help understand the complex social phenomenon of the health-seeking behaviours of the slum residents. Inclusion of such data could have informed findings and targeted interventions. Future studies need to include these psycho-social measures for greater understanding of the health-seeking behaviours of slum dwellers.

Conclusion

Increasing urbanisation is a major factor in the creation and continued existence of the Sodom and Gomorrah slum. The slum reveals a ‘theatre of social exclusion’ where prevailing poor economic, educational and sociocultural conditions conspire as if to perpetuate each other’s reign. Conditions of profound environmental hazards, overcrowding and poor-quality housing and lack of health care or other essential services in Sodom and Gomorrah pose grave threats to the health of the inhabitants and probably to the rest of the city of Accra. Interventions requiring significant multisectoral effort and resource mobilisation championed by the Ministry of Local Government and Rural Development are needed to attempt a resolution of this crisis.
  21 in total

1.  Health conditions and residential concentration of poverty: a study in Rio de Janeiro, Brazil.

Authors:  C L Szwarcwald; F I Bastos; C Barcellos; M F Pina; M A Esteves
Journal:  J Epidemiol Community Health       Date:  2000-07       Impact factor: 3.710

2.  Poverty and health sector inequalities.

Authors:  Adam Wagstaff
Journal:  Bull World Health Organ       Date:  2002       Impact factor: 9.408

3.  Which health services reduce maternal mortality? Evidence from ratings of maternal health services.

Authors:  Rodolfo A Bulatao; John A Ross
Journal:  Trop Med Int Health       Date:  2003-08       Impact factor: 2.622

4.  The 21st century health challenge of slums and cities.

Authors:  Elliott D Sclar; Pietro Garau; Gabriella Carolini
Journal:  Lancet       Date:  2005 Mar 5-11       Impact factor: 79.321

5.  All slums are not equal: child health conditions among the urban poor.

Authors:  Siddharth Agarwal; Shivani Taneja
Journal:  Indian Pediatr       Date:  2005-03       Impact factor: 1.411

6.  The practice of behaviour therapy in West Africa: the case of Ghana.

Authors:  S A Danquah
Journal:  J Behav Ther Exp Psychiatry       Date:  1982-03

Review 7.  Epidemiological transition and the double burden of disease in Accra, Ghana.

Authors:  Samuel Agyei-Mensah; Ama de-Graft Aikins
Journal:  J Urban Health       Date:  2010-09       Impact factor: 3.671

8.  Maternal and neonatal health expenditure in Mumbai slums (India): a cross sectional study.

Authors:  Jolene Skordis-Worrall; Noemi Pace; Ujwala Bapat; Sushmita Das; Neena S More; Wasundhara Joshi; Anni-Maria Pulkki-Brannstrom; David Osrin
Journal:  BMC Public Health       Date:  2011-03-08       Impact factor: 3.295

Review 9.  Slum health: from understanding to action.

Authors:  Alon Unger; Lee W Riley
Journal:  PLoS Med       Date:  2007-10       Impact factor: 11.069

10.  Migration, sexual networks, and HIV in Agbogbloshie, Ghana.

Authors:  Susan Cassels; Samuel M Jenness; Adriana A E Biney; William Kwabena Ampofo; F Nii-Amoo Dodoo
Journal:  Demogr Res       Date:  2014-10-10
View more
  6 in total

Review 1.  Factors associated with accessing and utilisation of healthcare and provision of health services for residents of slums in low and middle-income countries: a scoping review of recent literature.

Authors:  Ji-Eun Park; Peter Kibe; Godwin Yeboah; Oyinlola Oyebode; Bronwyn Harris; Motunrayo M Ajisola; Frances Griffiths; Navneet Aujla; Paramjit Gill; Richard J Lilford; Yen-Fu Chen
Journal:  BMJ Open       Date:  2022-05-24       Impact factor: 3.006

2.  Sense of community and willingness to support malaria intervention programme in urban poor Accra, Ghana.

Authors:  D Yaw Atiglo; Reuben Tete Larbi; Mawuli Komla Kushitor; Adriana A E Biney; Paapa Yaw Asante; Naa Dodua Dodoo; F Nii-Amoo Dodoo
Journal:  Malar J       Date:  2018-08-10       Impact factor: 2.979

3.  Primary care doctor and nurse consultations among people who live in slums: a retrospective, cross-sectional survey in four countries.

Authors: 
Journal:  BMJ Open       Date:  2022-01-07       Impact factor: 2.692

4.  A contextual exploration of healthcare service use in urban slums in Nigeria.

Authors:  Olufunke Fayehun; Motunrayo Ajisola; Olalekan Uthman; Oyinlola Oyebode; Abiola Oladejo; Eme Owoaje; Olalekan Taiwo; Oladoyin Odubanjo; Bronwyn Harris; Richard Lilford; Akinyinka Omigbodun
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

Review 5.  Instruments used to assess quality of life of older adults in African countries: a scoping review.

Authors:  Priscilla Y A Attafuah; Irma H J Everink; Ruud J G Halfens; Christa Lohrmann; Aaron Abuosi; Jos M G A Schols
Journal:  BMC Geriatr       Date:  2021-06-05       Impact factor: 3.921

6.  Stress, health, noise exposures, and injuries among electronic waste recycling workers in Ghana.

Authors:  Katrina N Burns; Stephanie K Sayler; Richard L Neitzel
Journal:  J Occup Med Toxicol       Date:  2019-01-10       Impact factor: 2.862

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.