The Event-based Surveillance Framework is intended to be used by authorities and agencies responsible for
surveillance and response. This framework serves as an outline to guide stakeholders interested in implementing
event-based surveillance (EBS) using a multisectoral, One Health approach. To
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that end, the document is arranged
in interlinked chapters and annexes that can be modified and adapted, as needed, by users.
This is a revised version of the original “Framework for Event-based Surveillance” that was published in 2018. This
framework does not replace any other available EBS materials, but rather builds on existing relevant or related
documents and serves as a practical guide for the implementation of EBS in Africa. This framework is aligned with
the third edition of the WHO Joint External Evaluation for the following indicators: strengthened early warning
surveillance systems that are able to detect events of significance for public health and health security (Indicator
D2.1); improved communication and collaboration across sectors and between National, intermediate and local
public health response levels of authority regarding surveillance of events of public health significance (Indicator
D2.2); and improved national and intermediate-level capacity to analyse data (Indicator D2.3). As countries begin
to implement and demonstrate EBS functionality they will ensure an increase in JEE scores and progress towards
meeting the requirements outlined in the IHR3F
Additionally, in African Union Member States that have adopted the Integrated Disease Surveillance and
Response (IDSR) strategy, this document is a complement to and can enhance the implementation of IDSR,
especially for the 3rd edition (2019) that includes components related to EBS.
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This strategic framework marries formerly separate mandates for HIV and TB management in to one, comprehensive collaboration. It provides a structure for how to: strengthen the health care system to respond effectively to both epidemics, reduce the burden of HIV/AIDS in TB patients, and establish a
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monitoring and evaluation system for the collaborative activities. Activities include: improving TB infection control in health care and other settings, enhancing TB/HIV diagnostic capacity, and harmonize data collection tools and local, national and international TB/HIV indicators.
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All countries in the Latin American and Caribbean (LAC) region are expected to report on these indicators for the year 2020.
The primary objectives of the 2017 TMIS are to measure the level of ownership and use of mosquito nets; assess coverage of intermittent preventive treatment for pregnant women; identify treatment practices, including the use of specific antimalarial medications to treat malaria among c
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hildren age 6-59 months; measure the prevalence of malaria and anemia among children age 6-59 months; and assess knowledge, attitudes, and practices among adults with malaria.
This table provides estimates of key indicators for the country as a whole and for each of the 31 geographic regions in Tanzania. A comprehensive analysis of the 2017 TMIS data will be presented in a final report.
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The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health
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indicators including fertility levels, sexual activity, fertility preferences, awareness and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
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This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan
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hide enormous inequality inpatterns of povertywithin countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd September 2014 and concluded on 17th October 2014, in
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all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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This is a report from a National, representative household survey carried out in Botswana in 2012 – 2014. The study was carried out on behalf of the Norwegian Federation of Organisations of Disabled Persons (FFO), Southern Africa Federation of the
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Disabled (SASFOD) and Botswana Federation of Disabled People (BOFOD). The study was led by Professor Tlamelo Mmatli of the University of Botswana, in collaboration with SINTEF Technology and Society. The study would not have been possible without a strong commitment from the Office of the President of Botswana and support from the Central Statistical Office. The study presents a broad picture of the situation among individuals with disability and households with disabled members in Botswana. It offers comparison with individuals without disability and households without disabled members, between provinces and between genders and locations (urban/rural). The study reveals that households with disabled members and individuals with disability score lower on a range on indicators on level of living.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals
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(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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This document provides guidelines and tools for monitoring the quality of outsourced viral load test results in India, defining processes and procedures as well as quality indicators and a monitoring checklist for assuring quality of services. Annex
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es include reporting forms and checklists for monitoring visits.
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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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The 2015-16 MDHS is a national sample survey that provides up-to-date information on fertility levels; marriage; fertility preferences; awareness and use of family planning methods; child feeding practices; nutrition; adult and childhood mortality;
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awareness and attitudes regarding HIV/AIDS; women’s empowerment; and domestic violence. The target groups were women and men age 15-49 residing in randomly selected households across the country. In addition to national estimates, the report provides estimates of key indicators for both urban and rural areas in Myanmar and also for the 15 states and regions.
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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 enume
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ration areas (EAs) as the sampling units for the first 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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Annual Household Survey 2015/16 is the forth survey of its kind. These annual surveys are conducted to provide estimations of some major socio-economic indicators on annual basis which would not be possible with other periodic surveys like Nepal Lab
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our Force Surveys (NLSS) and Nepal Living Standard Surveys (NLSS) which are undertaken at longer intervals. The survey basically aims to provide estimates of consumption by sex, urban-rural area and by consumption quintiles/deciles. Although the major thrust of Annual Household Survey is on consumption and employment situations, other sectors like education, housing and housing facilities and demographic characteristics are also included. As this year NLSS survey is conducted so, this survey does not contain information on employment situation as in previous annual household surveys.
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In 2015, the world reaffirmed its commitment to sustainable development by endorsing the 2030 Agenda for Sustainable Development and its 17 SDGs (2030 Agenda). To reach older people – an important, heterogeneous and growing population – and to create visibility in global and
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national policy and accountability mechanisms, a closer examination is needed of the kinds of data collection mechanisms and methods, and types of data collected to measure each SDG indicator relevant for older persons, including existing levels of disaggregation, analysis and dissemination.
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In 2015, the world reaffirmed its commitment to sustainable development by endorsing the 2030 Agenda for Sustainable Development and its 17 SDGs (2030 Agenda). To reach older people – an important, heterogeneous and growing population – and to create visibility in global and
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national policy and accountability mechanisms, a closer examination is needed of the kinds of data collection mechanisms and methods, and types of data collected to measure each SDG indicator relevant for older persons, including existing levels of disaggregation, analysis and dissemination.
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This document aims to describe a minimum set of surveillance activities recommended at the national level to detect and monitor the relative prevalence of SARS-CoV-2 variants and outline a set of activities for the characterization and assessment of
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risk posed by these variants. A set of indicators is also provided to standardize monitoring and public reporting of variant circulation.
The document is primarily intended for national and sub-national public health authorities and partners who support implementation of surveillance for SARS-CoV-2 variants
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1 June 2020
Countries around the world are facing the challenge of increased demand for care of people with COVID-19, compounded by fear, misinformation and limitations on movement that disrupt the delivery of health care for all conditions. Maintaining essential health services: operational guidan
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ce for the COVID-19 context recommends practical actions that countries can take at national, subregional and local levels to reorganize and safely maintain access to high-quality, essential health services in the pandemic context. It also outlines sample indicators for monitoring essential health services, and describes considerations on when to stop and restart services as COVID-19 transmission recedes and surges. This document expands on the content of pillar 9 of the COVID-19 strategic preparedness and response plan, supersedes the earlier Operational guidance for maintaining essential health services during an outbreak, and complements the recently-released Community-based health care, including outreach and campaigns, in the context of the COVID-19 pandemic. It is intended for decision-makers and managers at the national and subnational levels.
This is an update to COVID-19: Operational guidance for maintaining essential health services during an outbreak: Interim guidance, 25 March 2020
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The Leprosy Programme and Transmission Assessment (LPTA) is an activity that is carried out by internal teams towards the end of Phase 1 (see Leprosy Elimination Framework in the Annex) when a subnational jurisdiction (typically second-tier) reaches the milestone for interruption of transmission, i.
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e., zero autochthonous child cases for a consecutive period of five years. It also needs to be done at the end of Phase 2, when the second milestone of elimination of leprosy disease has been reached. An LPTA will be carried out to document that all relevant programme criteria have been met and examine trends of epidemiological indicators in such jurisdiction to confirm that the milestone has been achieved. The LPTA includes assessment of health facilities that provide leprosy services. LPTA comprises of review of epidemiological data, health facility assessment and data validation and verification of the programme criteria through observation during a field visit. The evidence collected in this way in subnational health administrative units is compiled in a Leprosy Elimination Dossier to be submitted to WHO when the country reaches the milestone for elimination of disease in the country as whole. Countries that have not detected any new leprosy cases in the past three years or more can use the LPTA at national level prior to or as part of the verification process. Countries likely to be among the first to apply for verification may have had no new cases detected for more than 10 years.
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