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The Royal Statistical Society was founded to address social problems ‘through the collection and classification of facts’, leading to many developments in the collection of data, the development of methods for analysing them and the development of statistics as a profession. Nearly 200 years later an explosion in computational power has led, in turn, to an explosion in data. We outline the challenges and the actions needed to exploit those data for the public good, and to address the step change in statistical skills and capacity development necessary to enable our vision of a world where data are at the heart of understanding and decision making.

This paper presents the development of the African Statistical Development Index, a composite index that aims at supporting the monitoring and evaluation of the implementation of the Reference Regional Strategic Framework for Statistical Capacity Building in Africa. It also helps to identify, for each African country, weaknesses and strengths of the National Statistical Systems so that support interventions can be developed. The paper first gives the rationale behind the development of the index as well as the context. It then elaborates on the methodology used to develop the index, including the selection of components and variables, the scaling of the variables, the weighting and aggregation schemes, and the validation process. The methodology is applied to a sample of African countries. Finally, the paper compares the proposed index to existing statistical capacity building indicators and highlights the related limitations. Cet article présente l'Indice de développement statistique africain, un indice composite ayant pour objectif de supporter le suivi et l'évaluation de la mise en oeuvre du Cadre stratégique régional de référence pour le renforcement des capacités statistiques en Afrique. Cet indice permet, entre autres, d'identifier les forces et faiblesses du système statistique national de chaque pays africain en vue de favoriser des interventions ciblées de la part des intervenants. Pour ce faire, cet article présente la raison d'être et le contexte entourant le développement de l'indice. Par la suite, il s'attarde sur la méthodologie entourant son développement incluant la sélection des composantes et des variables, les pondérations et le processus d'agrégation ainsi que celui de validation. Il présente une application de la méthodologie sur un échantillon des pays africains et compare finalement l'indice à d'autres indices de développement statistique existants sans oublier les limitations relatives à son utilisation.

This article focuses on the issue of statistical capacity building of official statisticians using the case of the consumer price index (CPI) as an illustrative example. Although used for indexation of salaries, pensions, and social welfare benefits, but also as an approximation of the general inflation rate, there are several unresolved methodological issues associated with CPI’s calculation. Apart from the choice among two alternative concepts, the challenge of how to include owner-occupied housing (OOH) in CPI has also not been adequately resolved yet. Analysis in the article is based on Slovenian data. The results show that accuracy of the CPI significantly improves if it is calculated using one of the superlative and symmetric formulas, and that it makes sense to include OOH in CPI using the total acquisitions approach. The analysis further indicates that the choice of the index formula for calculating CPI has a much greater impact on the CPI value than inclusion of OOH. Academic research findings such as these should not remain unknown to the wide professional community of official statisticians. Formal channels for knowledge transfer from academia to official statistics providers should be established to facilitate continuous statistical capacity building of official statisticians.

This document provides the main conclusions and recommendations arising from the statistical capability support provided by the OECD to Egypt in the area of Science, Technology and Innovation (STI), as part of the Innovation Policy Review conducted under the framework of the OECD-Egypt Country Programme. The report provides an assessment and recommendations on the design, conduct and dissemination of statistical data activities corresponding to R&D and innovation across all of Egypt’s institutional sectors. The recommendations not only concern suggestions for improving procedures of STI statistical production with a view towards ensuring full international comparability according to OECD standards. They also lay out a roadmap for enhancing conditions and frameworks required to enable a more sustained and systematic domestic approach to STI statistics, characterised by effective collaboration among all STI actors to inform Egypt’s drive towards a more knowledge-intensive society.

This presidential address explores how statisticians can exploit their skills and expertise effectively to ensure that development strategies are pro poor and pro equity. Many papers in statistical journals have addressed the work of national official statisticians but few have examined the work of statisticians in international, supranational or bilateral agencies. This paper attempts to redress this imbalance by highlighting some of the dilemmas facing international statisticians. It aims to raise consciousness of the role of statisticians employed in an international context, to explain some of the constraints under which they work, to address principles which ought to govern the activities of statisticians generally and to evaluate the relevance of such principles to international statisticians in particular.

To provide an estimate of the burden of postpartum depression in Indian mothers and investigate some risk factors for the condition. We searched PubMed®, Google Scholar and Embase® databases for articles published from year 2000 up to 31 March 2016 on the prevalence of postpartum depression in Indian mothers. The search used subject headings and keywords with no language restrictions. Quality was assessed via the Newcastle-Ottawa quality assessment scale. We performed the meta-analysis using a random effects model. Subgroup analysis and meta-regression was done for heterogeneity and the Egger test was used to assess publication bias. Thirty-eight studies involving 20 043 women were analysed. Studies had a high degree of heterogeneity (  = 96.8%) and there was evidence of publication bias (Egger bias = 2.58; 95% confidence interval, CI: 0.83-4.33). The overall pooled estimate of the prevalence of postpartum depression was 22% (95% CI: 19-25). The pooled prevalence was 19% (95% CI: 17-22) when excluding 8 studies reporting postpartum depression within 2 weeks of delivery. Small, but non-significant differences in pooled prevalence were found by mother's age, geographical location and study setting. Reported risk factors for postpartum depression included financial difficulties, presence of domestic violence, past history of psychiatric illness in mother, marital conflict, lack of support from husband and birth of a female baby. The review shows a high prevalence of postpartum depression in Indian mothers. More resources need to be allocated for capacity-building in maternal mental health care in India.

In the last decade record-breaking rainfall events have occurred in many places around the world causing severe impacts to human society and the environment including agricultural losses and floodings. There is now medium confidence that human-induced greenhouse gases have contributed to changes in heavy precipitation events at the global scale. Here, we present the first analysis of record-breaking daily rainfall events using observational data. We show that over the last three decades the number of record-breaking events has significantly increased in the global mean. Globally, this increase has led to 12 % more record-breaking rainfall events over 1981–2010 compared to those expected in stationary time series. The number of record-breaking rainfall events peaked in 2010 with an estimated 26 % chance that a new rainfall record is due to long-term climate change. This increase in record-breaking rainfall is explained by a statistical model which accounts for the warming of air and associated increasing water holding capacity only. Our results suggest that whilst the number of rainfall record-breaking events can be related to natural multi-decadal variability over the period from 1901 to 1980, observed record-breaking rainfall events significantly increased afterwards consistent with rising temperatures.

Background Medical waste (MW) can be generated in hospitals, clinics and places where diagnosis and treatment are conducted. The management of these wastes is an issue of great concern and importance in view of potential public health risks associated with such wastes. The study assessed the medical waste management practices in selected hospitals and also determined the impact of Lagos Waste Management Authority (LAWMA) intervention programs. A descriptive cross-sectional survey method was used. Methods Data were collected using three instrument (questionnaire, site visitation and in –depth interview). Two public (hospital A, B) and five private (hospital C, D, E, F and G) which provide services for low, middle and high income earners were used. Data analysis was done with SPSS version 20. Chi-squared test was used to determine level of significance at p  < 0.05. Results The majority 56 (53.3 %) of the respondents were females with mean age of 35.46 (±1.66) years. The hospital surveyed, except hospital D, disposes both general and medical waste separately. All the facilities have the same process of managing their waste which is segregation, collection/on-site transportation, on-site storage and off–site transportation. Staff responsible for collecting medical waste use s mainly hand gloves as personal protective equipment. The intervention programs helped to ensure compliance and safety of the processes; all the hospitals employ the services of LAWMA for final waste disposal and treatment. Only hospital B offered on-site treatment of its waste (sharps only) with an incinerator while LAWMA uses hydroclave to treat its wastes. There are no policies or guidelines in all investigated hospitals for managing waste. Conclusions An awareness of proper waste management amongst health workers has been created in most hospitals through the initiative of LAWMA. However, hospital D still mixes municipal and hazardous wastes. The treatment of waste is generally done by LAWMA using hydroclave, to prevent environmental hazards except hospital B that treats its sharp with an incinerator. In order to enhance uniform and appropriate waste management practices in the entire State, there is need for capacity building at all levels and also policies and guidelines formulations.

We use an individual based model and national level epidemic simulations to estimate the medical costs of keeping the US economy open during COVID-19 pandemic under different counterfactual scenarios. We model an unmitigated scenario and 12 mitigation scenarios which differ in compliance behavior to social distancing strategies and in the duration of the stay-home order. Under each scenario we estimate the number of people who are likely to get infected and require medical attention, hospitalization, and ventilators. Given the per capita medical cost for each of these health states, we compute the total medical costs for each scenario and show the tradeoffs between deaths, costs, infections, compliance and the duration of stay-home order. We also consider the hospital bed capacity of each Hospital Referral Region (HRR) in the US to estimate the deficit in beds each HRR will likely encounter given the demand for hospital beds. We consider a case where HRRs share hospital beds among the neighboring HRRs during a surge in demand beyond the available beds and the impact it has in controlling additional deaths.

Background Global malaria cases rose by 14 million, and deaths by 69,000, in 2020. In India, a 46% decline has been reported between 2020 and 2019. In 2017, the Malaria Elimination Demonstration Project conducted a needs-assessment of the Accredited Social Health Activists (ASHAs) of Mandla district. This survey revealed the inadequate level of knowledge in malaria diagnosis and treatment. Subsequently, a training programme was launched for enhancing malaria-related knowledge of ASHAs. The present study was conducted in 2021 to evaluate the impact of training on malaria-related knowledge and practices of ASHAs in Mandla. This assessment was also done in two adjoining districts: Balaghat and Dindori. Methods A cross-sectional survey using a structured questionnaire was administered to ASHAs to measure their knowledge and practices related to malaria etiology, prevention, diagnosis, and treatment. A comparison of information collected from these three districts was performed using simple descriptive statistics, comparison of means and multivariate logistic regression analysis. Results Significant improvement was noted amongst ASHAs of district Mandla between 2017 (baseline) and 2021 (endline) in knowledge related to malaria transmission, preventive measures, adherence to the national drug policy, diagnosis using rapid diagnostic tests, and identification of age group-specific, colour-coded artemisinin combination therapy blister packs (p < 0.05). The multivariate logistic regression analysis revealed that odds of Mandla baseline was 0.39, 0.48, 0.34, and 0.07 times lower for malaria-related knowledge on disease etiology, prevention, diagnosis, and treatment, respectively (p < 0.001). Further, participants in districts Balaghat and Dindori showed significantly lower odds for knowledge (p < 0.001) and treatment practices (p < 0.01) compared to Mandla endline. Education, attended training, having a malaria learner’s guide, and minimum 10 years’ work experience were potential predictors for good treatment practices. Conclusion The findings of the study unequivocally establishes significant improvement in overall malaria-related knowledge and practices of ASHAs in Mandla as a result of periodic training and capacity building efforts. The study suggests that learnings from Mandla district could be helpful in improving level of knowledge and practices among frontline health workers.