Births and deaths must be registered in Africa
Bibliographic record
Abstract
Goal 3 of the Sustainable Development Goals (SDGs) aims to “ensure healthy lives and promote well-being for all at all ages” by 2030.1UNSustainable Development Goals: Goal 3. United Nations.https://www.un.org/sustainabledevelopment/health/Date accessed: November 21, 2019Google Scholar The goal includes targets related to reducing maternal and child mortality, ending lethal epidemics such as HIV/AIDS and malaria, reducing mortality from non-communicable diseases, and curbing the number of deaths caused by traffic accidents and environmental contamination. SDG 16, which aims to build peaceful, just, and inclusive societies, includes a target to reduce the number of deaths caused by violence. For governments in Africa, especially sub-Saharan Africa, measuring progress towards these targets will continue to be impossible unless governments make greater efforts to collect information on the number of annual deaths that occur in their populations and the causes of those deaths. Africa lags behind the rest of the world in vital statistics, including birth and death registration and in the handling of administrative data. A survey by the Economic Commission for Africa (ECA)2Economic Commission for AfricaReport on the status of civil registration and vital statistics in Africa. ECA, Addis Ababa2017Google Scholar found that only one in three deaths in the region is captured by official registration systems, and that only 18 of 54 countries record and report annual deaths. Only four African countries have a level of death registration coverage and cause of death information that meets international standards. Sub-Saharan Africa is missing out on the benefits of vital statistics. As well as helping countries to measure progress towards their international commitments, the information such registration provides is crucial for effective policy development. Mortality data are needed to develop accurate population estimates and projections. The data help individuals and justice systems to resolve inheritance issues fairly and promptly, and they improve health. By helping to quantify the burden of disease, mortality data ensure that health-care resources are allocated to the most pressing priorities. Once those resources are allocated, the data assist in tracking the effectiveness—and cost-effectiveness—of interventions. Advances in civil registration and vital statistics (CRVS) systems have been found to be associated with substantially improved health outcomes, including reduced maternal and child mortality and increased life expectancy.3Phillips DE AbouZahr C Lopez AD et al.Are well functioning civil registration and vital statistics systems associated with better health outcomes?.Lancet. 2015; 386: 1386-1394Google Scholar Although most African countries have laws dictating that deaths should be registered, few put these laws into use. Only eight of the 39 countries in the ECA study allot adequate financing to civil registration systems, and five have no recurrent budget for these systems. Only 11 countries have electronic recording systems at the local level, and only seven have electronic systems that enable health-care facilities to report deaths to local registration offices. Moreover, even among the few countries that systematically record deaths, many lack mechanisms to ensure that the data reaches health policymakers. A first step to rectifying the deficit is to strengthen the political will that will be required if increased widespread death registration coverage is to be achieved. People working within health or statistics institutions should explain to African policymakers that reliable mortality data will improve their policies' effectiveness, achieve cost efficiency, and enable policymakers to demonstrate to donors that their investments are targeted towards the areas where they will have the biggest effect. Donors themselves also need to be apprised of the benefits—investment in CRVS systems has traditionally been neglected in favour of interventions with more obvious and immediate benefits,4AbouZahr C de Savigny D Mikkelsen L Setel PW Lozano R Lopez AD Towards universal civil registration and vital statistics systems: the time is now.Lancet. 2015; 386: 1407-1418Google Scholar but those interventions will be less effective if their effect on mortality is not measured. Policymakers will also need to be trained to use mortality data to guide their interventions. Local technical and administrative staff will need to be hired and trained to record deaths and causes of death and to feed that information into national CRVS systems. Physicians, too, might require additional training to identify and log causes of death,5Rao C Bradshaw D Matthers CD Improving death registration and statistics in developing countries: lessons from sub-Saharan Africa.South Afr J Demogr. 2000; 9: 81-99Google Scholar and data analysts will need to be trained to examine, report, and explain the data to policymakers. Bringing vital and civil registration closer to the people will assist in achieving greater coverage. Several African countries charge citizens who wish to acquire death certificates, thereby reducing the likelihood of citizens acquiring beneficial documentation.2Economic Commission for AfricaReport on the status of civil registration and vital statistics in Africa. ECA, Addis Ababa2017Google Scholar Registration of deaths and recording cause of death is less common in rural than in urban areas, and in informal settlements in towns and cities. Public education campaigns that highlight the value of registering deaths should be accompanied by measures to incentivise registration and to make registration easier, including online platforms, mobile registration services, and locating services in rural and urban settings. Verbal autopsies, whereby people close to the deceased help identify the cause of death in cases when a physician has not been available, also depend crucially on the engagement and education of citizens. African countries have made progress in registering births in the past decade, with coverage increasing from 40% in 2012 to 57% in 2015.2Economic Commission for AfricaReport on the status of civil registration and vital statistics in Africa. ECA, Addis Ababa2017Google Scholar Registration of deaths, however, has remained stagnant. The impressive advances in birth registration coverage show that rapid progress is possible—that coverage should now be extended to deaths. We declare no competing interests.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".