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Publication Years
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The Burkina Faso Demographic and Health and Multiple Cluster Indicator Survey 2010 (DHS-MICS), or Enquête Démographique et de Santé et à Indicateurs Multiples du Burkina Faso 2010, was conducted by the Institut National de la Statistique et de
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la Démographie (INSD) of the Ministry of Economy and Plan (MOEP) in collaboration with the Ministry of Health (MOH), with technical assistance from ICF International. Data for this nationally representative survey were collected from 14,424 households, and complete interviews were conducted with 17,087 women aged 15−49 and 7,307 men aged 15–59. The fieldwork took place from May 2010 to January 2011. The summary statistics presented below were taken from the 2010 Burkina Faso DHS-MICS (INSD and ICF International 2012), with exceptions as noted.
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The Government of Liberia (GoL) reports three additional EVD cases linked to the Margibi County cluster, including one in Liberia’s Montserrado County; new confirmed case total reaches six
Recently extended Operation Northern Push strengt
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hens contact tracing and EVD prevention activities in Sierra Leone
The Government of Guinea (GoG) and EVD response actors investigate source of infection for EVD-positive nurse in Forécariah Prefecture, the area’s first confirmed case among health care workers since March
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Promoting health and preventing disease is a critical component of the effort required to achieve Universal Health Coverage (UHC). to date, efforts to achieve UHC have focused mostly on strengthening health systems and their capacities to provide curative care. However, experience from the COVID-19
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pandemic has reaffirmed the need for resilient health systems, emphasizing primary health care, including preventive and promotive health and well-being.
Emerging from the eye of the storm as the global health lead agency during the pandemic, WHO is equipped with the required insights and actions for a holistic approach to “building back fairer and better” after COVID-19.
The Healthier Populations (UHP) Cluster in the African Region is designed to support Pillar 3 of WHO’s 13th Global Programme of Work (GPW13) which aims to make 1 billion people healthier by reducing health inequities, preventing diseases and injuries, addressing health determinants, and promoting partnerships for collaborative actions amongst all stakeholders.
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Accessed on 01.03.2020
Since its inception in 1995, the Multiple Indicator Cluster Surveys, known as MICS, has become the largest source of statistically sound and internationally comparable data on women and children worldwide. In countries as d
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iverse as Costa Rica, Mali and Qatar, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women.
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Coronavirus disease 2019 (COVID-19) Quick Reference for Health Workers Case
Centre for Respiratory Diseases and Meningitis, South Africa
National Institute for Communicable Diseases (NICD)
(2020)
C2
On the 31st December 2019, the World Health Organization (WHO) China country office reported a cluster of pneumonia cases in Wuhan City, Hubei Province of China now known to be caused by a novel virus. Severe acute respiratory syndrome coronavirus 2
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(SARS-CoV-2) has been confirmed as the causative virus of Coronavirus disease 2019 (COVID-19). Cases have now been identified in over 100 countries including South Africa.
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After more than three years without cases, Haiti reported on 2 October 2022 a cluster of cholera cases in the metropolitan area of Port-au-Prince, just as the country was on the verge of being declared cholera- free.
This cholera resurgence in Hait
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i is happening in a complex operational context, amid a volatile socio- political environment marked by blockades, fuel shortages, criminal gang activity and rampant insecurity. Civil unrest and lack of access to the affected communities are deepening the complex humanitarian crisis and hindering emergency response efforts.
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Communicable and non-communicable diseases in Africa in 2021/22
World Health Organization Africa Region; WHO Africa
World Health Organization Africa Region; WHO Africa
(2023)
C_WHO
This report is one of the first major products of the newly established Precision Public Health Metrics unit of the UCN cluster of the WHO Regional Office for Africa. The report presents national trends in communicable and non-communicable disease b
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urden and control in the WHO African region. It tracks progress made with respect to disease burden reduction, elimination and eradication. It also highlights major emerging threats, opportunities and priorities in the fight against commu- nicable and non-communicable diseases in the region. It covers the period 2000-2022, but for some indicators, information is available only up to 2021.
The report shows the number of reported cases for malaria and vaccine preventable diseases (meningitis, measles, yellow fever, pertussis, diphtheria, tetanus, and polio); disease incidence due to HIV, tuberculosis and four major noncommunicable diseases (cardiovas- cular diseases, cancers, diabetes and chronic respira- tory diseases).
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Mental Health and Psychosocial Support in Humanitarian Emergencies: What Should Humanitarian Health Actors Know?
recommended
IASC Reference Group for Mental Health and Psychosocial Support
Inter-Agency Standing Committee
(2010)
C1
This document is for humanitarian health actors working at national and sub-national level in countries facing humanitarian emergencies. It applies to Health Cluster partners, including governmental and non-governmental health service providers.
Ba
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sed on the IASC Guidelines on Mental Health and Psychosocial Support in Emergency Settings (IASC, 2007), it gives an overview of essential knowledge that humanitarian health actors should have about mental health and psychosocial support (MHPSS) in humanitarian emergencies.
This document by the IASC Reference Group for Mental Health and Psychosocial Support was developed in consultation with the IASC Global Health Cluster.
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Emergency Capacitiy Building Project agencies, led by CARE, have developed the Shelter Accountability Resources for project managers and decision-makers in humanitarian shelter programs.
As a guide it is also intended to be useful for Shelter Cluster
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coordinators, and other staff who would like to monitor the accountability of particular projects and programs. The tools and examples included here should help humanitarians to plan, implement and monitor shelter projects and programs in a way that is accountable to disaster-affected populations.
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Frameworks for Victim Assistance: Monitor key findings and observations
International Campaign to Ban Landmines
(2013)
C3
For close to 15 years, the Monitor has tracked the impact of victim assistance on the lives of victims of landmines, cluster munitions,
and other explosive remnants of war (hereafter “mine/ERW victims
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). Over this time, the international community has strengthened its resolve to promote the rights and address the needs of victims through programs and services that are accessible and adequate in quantity, quality, availability, and consistent with the high standards set by human rights as well as other international humanitarian law.
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This intervention will be limited to the initial phase of India reporting only (i) travel related cases and (ii) focal clusters arising from a travel related/unrelated case where cluster containment strategy is adopted (iii) Persons coming from COVI
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D-19 affected areas where local and community transmission is evident.
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Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data
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were collected, but the survey period did not overlap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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Key messages
● Pre-crisis Infant and Young Child Feeding (IYCF) Practices:
The Code has not been adequately implemented and enforced in Ukraine.
Multiple Indicator Cluster Survey (MCIS) data from 2012: Child ever breastfed (95.4%)
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; early initiation of breastfeeding (EIBF) within 1 hr of birth (65.7%); children under 6 months exclusively breastfed (EBF)(19.7%); continued breastfeeding at 1 (37.9%) and 2 years of age (22%); children under 6 months predominantly breastfed (51.6%); children 0-23 months bottle fed (66.6%); introduction of solid, semi-solid or soft foods for children 6-8 months (43.2%).
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Russia began an all-out invasion of Ukraine on 24 February 2022, carrying out extensive military operations marked by war crimes and other violations of international humanitarian law. Using indiscriminate weapons such as cluster munitions in popula
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ted areas, including in cities such as Kharkiv and Chernihiv, Russian forces have killed civilians and demolished residential structures, including apartment blocks. The hardest-hit city of all has been Mariupol, where relentless Russian attacks have left many areas in ruins. In Bucha and other towns northwest of Kyiv, Russian soldiers have extrajudicially executed civilians and looted civilian property. More than 14 million people have been uprooted by the conflict, with close to six million fleeing to neighbouring countries as refugees. Sexual crimes have been reported.
There are reports that Ukrainian forces have operated out of residential areas, drawing Russian fire there and endangering the civilian population. There is also compelling evidence to indicate that both Russian and Ukrainian forces have mistreated prisoners of war.
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The 2018 NDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the fir
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st stage. The second stage was a complete listing of households carried out in each of the 1,400 selected EAs. The target groups were women age 15-49 and men age 15-59
in randomly selected households across Nigeria. A representative sample of approximately 42,000 households was selected for the survey. One-third of the households (14,000) were selected for malaria, anaemia, and genotype testing of children age 6-59 months. Also, in the subsample of households selected
for the men’s survey, one eligible woman in each household was randomly selected for additional questions regarding domestic violence. Specifically, information was collected on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, child feeding practices, nutritional status of women and children, adult and childhood mortality, awareness and attitudes regarding
HIV/AIDS, and female genital mutilation. The survey also assessed the nutritional status (according to weight and height measurements) of women and children in these households. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s six geopolitical zones and 36 states, and the Federal Capital Territory (FCT).
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The 2019 SLDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the fi
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rst stage. The second stage was a complete listing of households carried out in each of the 578 selected EAs. The target groups were women age 15-49 and men age 15-59 in
randomly selected households across the country. A representative sample of approximately 13,872 households was selected for the survey. Half of the households (6,936) were selected for biomarker and men’s interview. The men’s survey was conducted in half (50%) of the sample households, and all men age 15-59 in these households were included. In this subsample, one eligible woman in each household was randomly selected to be asked additional questions about domestic violence.
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BMJ Open 2021;11:e042279. doi:10.1136/bmjopen-2020-042279. Neglected tropical diseases tend to cluster in the same poor populations, and to make progress with their control, they will have to be dealt with in an integrated manner. Peptide microarray
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s may be a solution to tese problems, where diagnosis for co-infection can be detected simultaneously using the one tool.
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The World Health Organization (WHO) has been present in Niger since 1960, and acts as the Government's principal advisor on public health and lead of the health cluster. WHO covers all eight regions of the country with 113 staff members in Niamey an
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d in 7 sub-offices (Agadez, Diffa, Zinder, Maradi, Tillabéri, Dosso, Tahoua).
To strengthen its cooperation with Niger, WHO has recently developed a new Country Cooperation Strategy (CCS) for 2023-2027 period in collaboration with the Ministry of Public Health, Popula-tion and Social Affairs. The CPS is based on the WHO's 13th General Programme of Work (GPA) 2019-2025 and national priorities. It enables WHO to support Niger in the implementation of its national health policy and the 2022-2026 Health and Social Development Plan (HSSP).
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PLoS Med 16(3): e1002768. https://doi.org/10.1371/journal.pmed.1002768
Home delivery and late and infrequent attendance at antenatal care (ANC) are responsible for substantial avoidable maternal and pediatric morbidity and mortality in sub-Saharan Africa. This
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cluster-randomized trial aimed to determine the impact of a community health worker (CHW) intervention on the proportion of women who visit ANC fewer than 4 times during their pregnancy and deliver at home.
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This field study to measure access to and use of medicines was undertaken in GHANA in May-June 2008. The study assessed information on the socio-economic level of households, and access to and use of medicines for acute and chronic conditions as well as opinions and perceptio
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ns about medicines. The survey was conducted in six regions. In each region, six reference public heath care facilities were selected among those participating in the Level II Facility Survey that was carried out in parallel. Within defined distances from each reference public health care facility, households were selected by purposive cluster sampling. A total of 1065 household respondents were interviewed by means of a structured paper questionnaire
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