library: Add Uganda refugee camp sources

This commit is contained in:
Marty Oehme 2022-09-05 12:11:16 +02:00
parent 801e83b30c
commit 17644b5cf3
Signed by: Marty
GPG key ID: B7538B8F50A1C800
2 changed files with 390 additions and 5 deletions

View file

@ -116,6 +116,57 @@
Assessment.pdf}, Assessment.pdf},
} }
@article{Bako2021,
title = {Towards Attaining the Recommended {{Humanitarian Sphere Standards}}
of Sanitation in {{Bidibidi}} Refugee Camp Found in {{Yumbe District
}}, {{Uganda}}},
author = {Bako, Zaitun and Barakagira, Alex and Nabukonde, Ameria},
date = {2021-12},
journaltitle = {Journal of International Humanitarian Action},
shortjournal = {Int J Humanitarian Action},
volume = {6},
number = {1},
pages = {17},
issn = {2364-3412, 2364-3404},
doi = {10.1186/s41018-021-00105-8},
abstract = {Abstract Adequate sanitation is one of the most important
aspects of community well-being. It reduces the rates of
morbidity and severity of various diseases like diarrhea,
dysentery, and typhoid among others. A study about toward the
attainment of the recommended Humanitarian Sphere Standards on
sanitation in Bidibidi refugee camp, Yumbe District, was
initiated. A total of 210 households distributed in Bidibidi
refugee camp were randomly selected and one adult person
interviewed to assess the accessibility of different sanitation
facilities, and to explore the sanitation standards of the
sanitation facilities in relation to the recommended Humanitarian
Sphere Standards in the area. Pit latrines, hand washing
facilities, and solid waste disposal areas as reported by 81.4\%,
86.7\%, and 51.9\% of the respondents respectively, are the main
sanitation facilities accessed in the refugee camp. Despite their
accessibility, the standards of the pit latrines, hand washing,
and solid waste disposal facilities are below the recommended
standards, which might have contributed to the outbreak of
sanitation related diseases (χ 2 = 19.66, df = 1, P = 0.05) in
Bidibidi refugee camp. The respondents in the study area were
aware that the presence of the sanitation-related diseases was
because of the low-level sanitation practices in place (χ 2 =
4.54, df = 1, P = 0.05). The inaccessibility to some sanitation
facilities by some respondents was found to be related to their
low level of education (χ 2 = 130.37, df = 1, P = 0.05). This
implies that the sanitation facilities in Bidibidi refugee camp
need to be redesigned and improved especially the pit latrines
and the solid waste disposal facilities in order to meet the
minimum Humanitarian Sphere Standards. Also, there should be more
provision of taps with flowing water in the camp for effective
washing practices to minimize the spread of sanitation-related
diseases.},
langid = {english},
keywords = {country::Uganda,topic::refugee,topic::water},
file = {/home/marty/Zotero/storage/C8A3WUM2/Bako2021_Towards attaining the
recommended Humanitarian Sphere Standards of sanitation.pdf},
}
@article{Barry2020, @article{Barry2020,
title = {Pay-as-You-Go Contracts for Electricity Access: {{Bridging}} the title = {Pay-as-You-Go Contracts for Electricity Access: {{Bridging}} the
“Last Mile” Gap? {{A}} Case Study in {{Benin}}}, “Last Mile” Gap? {{A}} Case Study in {{Benin}}},
@ -353,6 +404,71 @@
Inequality in Vietnam, 20022012.pdf}, Inequality in Vietnam, 20022012.pdf},
} }
@article{Calderon-Villarreal2022,
title = {Social and Geographic Inequalities in Water, Sanitation and Hygiene
Access in 21 Refugee Camps and Settlements in {{Bangladesh}}, {{
Kenya}}, {{Uganda}}, {{South Sudan}}, and {{Zimbabwe}}},
author = {Calderón-Villarreal, Alhelí and Schweitzer, Ryan and Kayser,
Georgia},
date = {2022-12},
journaltitle = {International Journal for Equity in Health},
shortjournal = {Int J Equity Health},
volume = {21},
number = {1},
pages = {27},
issn = {1475-9276},
doi = {10.1186/s12939-022-01626-3},
abstract = {Abstract Introduction Many refugees face challenges accessing
water, sanitation, and hygiene (WASH) services. However, there is
limited literature on WASH access for refugee populations,
including for menstrual health services. Unmet WASH access needs
may therefore be hidden, amplifying morbidity and mortality risks
for already vulnerable refugee populations. The aim of this study
was therefore to quantitatively analyze WASH access among refugee
camps, with a focus on households with women of reproductive age.
Methods This was a cross-sectional study that utilized the
Standardized WASH Knowledge, Attitude and Practice (KAP) Survey.
A total of 5632 household questionnaires were completed by the
United Nations Refugee Agency in 2019 in 21 refugee camps and
settlements in Bangladesh, Kenya, South Sudan, Uganda, and
Zimbabwe. WASH access (14 items) and social and geographic
stratifiers were analyzed at the household-level including the
refugee camp, country of the settlement, having women of
reproductive age, members with disability/elderly status, and
household size. We calculated frequencies, odds ratios, and
performed bivariate and multivariate analyses to measure
inequalities. We developed a Female WASH Access Index to
characterize WASH access for households with women of
reproductive age. Results Most refugee households had high levels
of access to improved water (95\%), low levels of access to waste
disposal facility (64\%) and sanitation privacy (63\%), and very
low access to basic sanitation (30\%) and hand hygiene facility
(24\%). 76\% of households with women of reproductive age had
access to menstrual health materials. WASH access indicators and
the Female WASH Access Index showed large inequalities across
social and geographic stratifiers. Households with disabled or
elderly members, and fewer members had poorer WASH access.
Households with women of reproductive age had lower access to
basic sanitation. Conclusions Large inequalities in WASH access
indicators were identified between refugee sites and across
countries, in all metrics. We found high levels of access to
improved water across most of the refugee camps and settlements
studied. Access to basic hygiene and sanitation, sanitation
privacy, waste disposal, and menstrual health materials, could be
improved across refugee sites. Households with women of
reproductive age, with 4+ members, and without members with
disability/elderly status were associated with higher WASH
access. The female WASH access index piloted here could be a
useful tool to quickly summarize WASH access in households with
women of reproductive age.},
langid = {english},
keywords = {country::Bangladesh,country::Kenya,country::South Sudan,
country::Uganda,status::skimmed,topic::refugee,topic::water},
file = {/home/marty/Zotero/storage/HXMCVQ5J/Calderon-Villarreal2022_Social
and geographic inequalities in water, sanitation and hygiene access
in.pdf},
}
@article{Cali2014, @article{Cali2014,
title = {Trade Boom and Wage Inequality: Evidence from {{Ugandan}} Districts title = {Trade Boom and Wage Inequality: Evidence from {{Ugandan}} Districts
}, },
@ -1371,6 +1487,64 @@
Done.pdf}, Done.pdf},
} }
@article{Kyozira2021,
title = {Integration of the {{UNHCR Refugee Health Information System}} into
the {{National Health Information Management System}} for {{Uganda}}
},
author = {Kyozira, Caroline and Kabahuma, Catherine and Mpiima, Jamiru},
date = {2021-09},
journaltitle = {Health Information Management Journal},
shortjournal = {HIM J},
volume = {50},
number = {3},
pages = {149--156},
issn = {1833-3583, 1833-3575},
doi = {10.1177/1833358319887817},
abstract = {Background: The Uganda Government, together with development
partners, has provided continuing support services (including
protection, food, nutrition, healthcare, water and sanitation) to
refugee-hosting Districts to successfully manage refugees from
different neighbouring countries in established settlements. This
service has increased the need for timely and accurate
information to facilitate planning, resource allocation and
decision-making. Complexity in providing effective public health
interventions in refugee settings coupled with increased funding
requirements has created demands for better data and improved
accountability. Health data management in refugee settings is
faced with several information gaps that require harmonisation of
the Ugandan National Health Management Information System (UHMIS)
and United Nations High Commission for Refugees (UNHCR) Refugee
Health Information System (RHIS). This article discusses the
rationale for harmonisation of the UNHCR RHIS, which currently
captures refugee data, with the UHMIS. It also provides insights
into how refugee health data management can be harmonised within
a countrys national health management information system.
Method: A consultative meeting with various stakeholders,
including the Ugandan Ministry of Health, district health teams,
representatives from UNHCR, the United Nations Children Education
Fund (UNICEF), United States Government and civil society
organisations, was held with an aim to review the UHMIS and UNHCR
RHIS health data management systems and identify ways to
harmonise the two to achieve an integrated system for monitoring
health service delivery in Uganda. Results: Several challenges
facing refugee-hosting district health teams with regard to
health data management were identified, including data collection
, analysis and reporting. There was unanimous agreement to
prioritise an integrated data management system and harmonisation
of national refugee stakeholder data requirements, guided by key
recommendations developed at the meeting. Conclusion: This
article outlines a proposed model that can be used to harmonise
the UNHCR RHIS with the UHMIS. The national refugee stakeholder
data requirements have been harmonised, and Uganda looks forward
to achieving better health data quality through a more
comprehensive national UHMIS to inform policy planning and
evidence-based decision-making.},
langid = {english},
keywords = {country::Uganda,status::skimmed,topic::refugee,topic::water},
file = {/home/marty/Zotero/storage/M9FTQ6TN/Kyozira2021_Integration of the
UNHCR Refugee Health Information System into the National.pdf},
}
@article{Le2019, @article{Le2019,
title = {Trade Liberalisation, Poverty, and Inequality in {{Vietnam}}: A title = {Trade Liberalisation, Poverty, and Inequality in {{Vietnam}}: A
Quantile Regression Approach}, Quantile Regression Approach},
@ -1509,6 +1683,73 @@
note = {Includes index}, note = {Includes index},
} }
@article{Logie2021,
title = {Exploring Resource Scarcity and Contextual Influences on Wellbeing
among Young Refugees in {{Bidi Bidi}} Refugee Settlement, {{Uganda}}
: Findings from a Qualitative Study},
shorttitle = {Exploring Resource Scarcity and Contextual Influences on
Wellbeing among Young Refugees in {{Bidi Bidi}} Refugee
Settlement, {{Uganda}}},
author = {Logie, Carmen H. and Okumu, Moses and Latif, Maya and Musoke,
Daniel Kibuuka and Odong Lukone, Simon and Mwima, Simon and
Kyambadde, Peter},
date = {2021-12},
journaltitle = {Conflict and Health},
shortjournal = {Confl Health},
volume = {15},
number = {1},
pages = {3},
issn = {1752-1505},
doi = {10.1186/s13031-020-00336-3},
abstract = {Abstract Background Contextual factors including poverty and
inequitable gender norms harm refugee adolescent and youths
wellbeing. Our study focused on Bidi Bidi refugee settlement that
hosts more than 230,000 of Ugandas 1.4 million refugees. We
explored contextual factors associated with wellbeing among
refugee adolescents and youth aged 1624 in Bidi Bidi refugee
settlement. Methods We conducted 6 focus groups ( n \,=\,3: women
, n \,=\,3: men) and 10 individual interviews with young refugees
aged 1624 living in Bidi Bidi. We used physical distancing
practices in a private outdoor space. Focus groups and individual
interviews explored socio-environmental factors associated with
refugee youth wellbeing. Focus groups were digitally recorded,
transcribed verbatim, and coded by two investigators using
thematic analysis. Analysis was informed by a social contextual
theoretical approach that considers the interplay between
material (resource access), symbolic (cultural norms and values),
and relational (social relationships) contextual factors that can
enable or constrain health promotion. Results Participants
included 58 youth (29 men; 29 women), mean age was 20.9 (range
1624). Most participants (82.8\%, n \,=\,48) were from South
Sudan and the remaining from the Democratic Republic of Congo
(17.2\% [ n \,=\,10]). Participant narratives revealed the
complex interrelationships between material, symbolic and
relational contexts that shaped wellbeing. Resource constraints
of poverty, food insecurity, and unemployment (material contexts)
produced stress and increased sexual and gender-based violence
(SGBV) targeting adolescent girls and women. These economic
insecurities exacerbated inequitable gender norms (symbolic
contexts) to increase early marriage and transactional sex
(relational context) among adolescent girls and young women.
Gendered tasks such as collecting water and firewood also
increased SGBV exposure among girls and young women, and this was
exacerbated by deforestation. Participants reported negative
community impacts (relational context) of COVID-19 that were
associated with fear and panic, alongside increased social
isolation due to business, school and church closures.
Conclusions Resource scarcity produced pervasive stressors among
refugee adolescents and youth. Findings signal the importance of
gender transformative approaches to SGBV prevention that
integrate attention to resource scarcity. These may be
particularly relevant in the COVID-19 pandemic. Findings signal
the importance of developing health enabling social contexts with
and for refugee adolescents and youth.},
langid = {english},
keywords = {country::Uganda,status::skimmed,topic::refugee,topic::water},
file = {/home/marty/Zotero/storage/PEAXZ8P9/Logie2021_Exploring resource
scarcity and contextual influences on wellbeing among young.pdf},
}
@article{Lwanga-Ntale2014, @article{Lwanga-Ntale2014,
title = {Inequality in {{Uganda}}: {{Issues}} for Discussion and Further title = {Inequality in {{Uganda}}: {{Issues}} for Discussion and Further
Research}, Research},
@ -1662,7 +1903,7 @@
url = { url = {
http://documents.worldbank.org/curated/en/449741576097502078/Challenges-to-Inclusive-Growth-A-Poverty-and-Equity-Assessment-of-Djibouti http://documents.worldbank.org/curated/en/449741576097502078/Challenges-to-Inclusive-Growth-A-Poverty-and-Equity-Assessment-of-Djibouti
}, },
keywords = {country::Djibouti,topic::poverty}, keywords = {country::Djibouti,status::skimmed,topic::poverty},
file = {/home/marty/Zotero/storage/64DR8Z8S/Mendiratta2019_Challenges to file = {/home/marty/Zotero/storage/64DR8Z8S/Mendiratta2019_Challenges to
Inclusive Growth.pdf}, Inclusive Growth.pdf},
} }
@ -1678,10 +1919,9 @@
url = { url = {
http://documents.worldbank.org/curated/en/272691596006234817/The-Multi-Dimensional-Nature-of-Poverty-in-Djibouti http://documents.worldbank.org/curated/en/272691596006234817/The-Multi-Dimensional-Nature-of-Poverty-in-Djibouti
}, },
keywords = {country::Djibouti,topic::poverty}, keywords = {country::Djibouti,status::skimmed,topic::poverty},
file = { file = {/home/marty/Zotero/storage/TU49848D/Mendiratta2020_The
/home/marty/Zotero/storage/TU49848D/The-Multi-Dimensional-Nature-of-Poverty-in-Djibouti.pdf Multi-Dimensional Nature of Poverty in Djibouti.pdf},
},
} }
@article{MinhHo2021, @article{MinhHo2021,
@ -1727,6 +1967,77 @@
SPENDING ON EDUCATION AFFECT PROVINCIAL INCOME INEQUALITY IN.pdf}, SPENDING ON EDUCATION AFFECT PROVINCIAL INCOME INEQUALITY IN.pdf},
} }
@article{Monje2020,
title = {A Prolonged Cholera Outbreak Caused by Drinking Contaminated Stream
Water, {{Kyangwali}} Refugee Settlement, {{Hoima District}}, {{
Western Uganda}}: 2018},
shorttitle = {A Prolonged Cholera Outbreak Caused by Drinking Contaminated
Stream Water, {{Kyangwali}} Refugee Settlement, {{Hoima
District}}, {{Western Uganda}}},
author = {Monje, Fred and Ario, Alex Riolexus and Musewa, Angella and
Bainomugisha, Kenneth and Mirembe, Bernadette Basuta and Aliddeki,
Dativa Maria and Eurien, Daniel and Nsereko, Godfrey and Nanziri,
Carol and Kisaakye, Esther and Ntono, Vivian and Kwesiga, Benon and
Kadobera, Daniel and Bulage, Lilian and Bwire, Godfrey and Tusiime,
Patrick and Harris, Julie and Zhu, Bao-Ping},
date = {2020-12},
journaltitle = {Infectious Diseases of Poverty},
shortjournal = {Infect Dis Poverty},
volume = {9},
number = {1},
pages = {154},
issn = {2049-9957},
doi = {10.1186/s40249-020-00761-9},
abstract = {Abstract Background On 23 February 2018, the Uganda Ministry of
Health (MOH) declared a cholera outbreak affecting more than 60
persons in Kyangwali Refugee Settlement, Hoima District,
bordering the Democratic Republic of Congo (DRC). We investigated
to determine the outbreak scope and risk factors for transmission
, and recommend evidence-based control measures. Methods We
defined a suspected case as sudden onset of watery diarrhoea in
any person aged ≥ 2\,years in Hoima District, 1 February9 May
2018. A confirmed case was a suspected case with Vibrio cholerae
cultured from a stool sample. We found cases by active community
search and record reviews at Cholera Treatment Centres. We
calculated case-fatality rates (CFR) and attack rates (AR) by
sub-county and nationality. In a case-control study, we compared
exposure factors among case- and control-households. We estimated
the association between the exposures and outcome using
Mantel-Haenszel method. We conducted an environmental assessment
in the refugee settlement, including testing samples of stream
water, tank water, and spring water for presence of fecal
coliforms. We tested suspected cholera cases using cholera rapid
diagnostic test (RDT) kits followed by culture for confirmation.
Results We identified 2122 case-patients and 44 deaths (CFR\,=\,
2.1\%). Case-patients originating from Demographic Republic of
Congo were the most affected (AR\,=\,15/1000). The overall attack
rate in Hoima District was 3.2/1000, with Kyangwali sub-county
being the most affected (AR\,=\,13/1000). The outbreak lasted 4
months, which was a multiple point-source. Environmental
assessment showed that a stream separating two villages in
Kyangwali Refugee Settlement was a site of open defecation for
refugees. Among three water sources tested, only stream water was
feacally-contaminated, yielding {$>$}\,100\,CFU/100\,ml. Of 130
stool samples tested, 124 (95\%) yielded V. cholerae by culture .
Stream water was most strongly associated with illness (odds
ratio [ OR ]\,=\,14.2, 95\% CI : 1.5133), although tank water
also appeared to be independently associated with illness ( OR \,
=\,11.6, 95\% CI : 1.494). Persons who drank tank and stream
water had a 17-fold higher odds of illness compared with persons
who drank from other sources ( OR \,=\,17.3, 95\% CI : 2.2137).
Conclusions Our investigation demonstrated that this was a
prolonged cholera outbreak that affected four sub-counties and
two divisions in Hoima District, and was associated with drinking
of contaminated stream water. In addition, tank water also
appears to be unsafe. We recommended boiling drinking water,
increasing latrine coverage, and provision of safe water by the
District and entire High Commission for refugees.},
langid = {english},
keywords = {country::Uganda,status::skimmed,topic::refugee,topic::water},
file = {/home/marty/Zotero/storage/CGVFN6AB/Monje2020_A prolonged cholera
outbreak caused by drinking contaminated stream water,.pdf},
}
@article{Mormul2016, @article{Mormul2016,
title = {Ethio{{Djiboutian}} Relations in the 21st Century towards New title = {Ethio{{Djiboutian}} Relations in the 21st Century towards New
African Cooperation}, African Cooperation},
@ -2650,6 +2961,62 @@
of drought on household food security in South-western Uganda.pdf}, of drought on household food security in South-western Uganda.pdf},
} }
@report{UNHCR2020,
title = {Nakivale {{Settlement}} Profile},
author = {UNHCR},
date = {2020},
number = {HS/029/20E},
institution = {{United Nations High Commissioner For Refugees}},
location = {{Geneva}},
keywords = {country::Uganda,topic::refugee},
file = {/home/marty/Zotero/storage/2NPXANQ6/UNHCRNakivale Settlement
profile.pdf},
}
@report{UNHCR2022,
title = {Uganda Refugee Emergency: {{Situation}} Report},
author = {UNHCR},
date = {2022-08},
series = {Inter-{{Agency Situation Report}}},
institution = {{United Nations High Commissioner For Refugees}},
location = {{Geneva}},
keywords = {country::Uganda,topic::refugee},
file = {/home/marty/Zotero/storage/LX2SGCK9/UNHCR2022_Uganda refugee
emergency.pdf},
}
@dataset{UNU-WIDER2022,
title = {World {{Income Inequality Database}} ({{WIID}}) {{Companion}} {{
Version}} 30 {{June}} 2022},
author = {{UNU-WIDER}},
date = {2022-06-30},
publisher = {{United Nations University World Institute for Development
Economics Research}},
doi = {10.35188/UNU-WIDER/WIIDcomp-300622},
abstract = {The WIID Companion reports annual country and global per capita
income distributions at the percentile level.},
langid = {english},
}
@dataset{UNU-WIDER2022a,
title = {World {{Income Inequality Database}} ({{WIID}}) {{Version}} 30 {{
June}} 2022},
author = {{UNU-WIDER}},
date = {2022-06-30},
publisher = {{United Nations University World Institute for Development
Economics Research}},
doi = {10.35188/UNU-WIDER/WIID-300622},
abstract = {WIID provides the most comprehensive set of income inequality
statistics available. With this current WIID version, the
observations now reach the year 2019 and covers 200 countries
(including historical entities) with over 20,000 data points in
total. There are now more than 3,700 unique country-year
observations in the database.},
langid = {english},
keywords = {country::Benin,country::Djibouti,country::Ethiopia,
country::Uganda,country::Vietnam},
}
@article{VanDePoel2009, @article{VanDePoel2009,
title = {What Explains the Rural-Urban Gap in Infant Mortality: {{Household} title = {What Explains the Rural-Urban Gap in Infant Mortality: {{Household}
} or Community Characteristics?}, } or Community Characteristics?},

View file

@ -118,3 +118,21 @@
* general access to improved drinking water 87% urban, 74% rural (19/20); * general access to improved drinking water 87% urban, 74% rural (19/20);
with only small amounts of inequality (75/74 rural poor/nonpoor; 76/90 poor/nonpoor) with only small amounts of inequality (75/74 rural poor/nonpoor; 76/90 poor/nonpoor)
* but very little access to improved sanitation 39% urban, 25% urban; 19% rural poor, 29% nonpoor; 22% urban poor, 43% urban nonpoor (19/20) * but very little access to improved sanitation 39% urban, 25% urban; 19% rural poor, 29% nonpoor; 22% urban poor, 43% urban nonpoor (19/20)
### [x] Logie2021 - Resource scarcity and sexual/gender based violence
* experiment in Bidi Bidi refugee settlement regarding gender based violence against girls/young women
* experience higher levels of viol. as food, water, firewood scarcity increases
### [ ] Calderon-Villarreal2022
* cross-sectional study analyzing water, sanitation, hygiene access (WASH) services in refugee populations in Uganda, Kenya, Bangladesh, South Sudan
* finds that most households overall had access to improved water (95%), they had low levels of access to waste disposal facility (64%), sanitation privacy (63%), very low access to basic sanitation (30%) and hand hygiene facility (24%)
* households with disabled or elderly members or fewer members had poorer access to WASH
* large inequalities between refugee sites and across countries:
* Kyangwali refugee camp only 67% of refugees have access to improved water, and 46% of improved sanitation service facilities; sanitation privacy at only 8%
* other Uganda camps fare better
* 83% (or 87? re-read!) access to improved water supply in Ugandan refugee camps - seems too high compared to average access?
### [ ] Kyozira2021 - integration of UNHCR Refugee health information system into national health management system of Uganda