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Gross domestic product (GDP) is shown to possess three new desiderata. First, GDP is almost perfectly correlated over time with the first principal component of its three classical indicators. Second, this principal component is in a class of weighted indexes ancillary to GDP. Each ancillary index informs policy as to allocation of resources over the three GDP indicators. Third, a country-specific power of GDP almost perfectly predicts the United Nation's Human Development Index (HDI). These findings are brought by principal components and regression analyses of time series supplied by the World Bank and the United Nations. Axiomatic HDI computation is carried out without survey sampling, probabilistic inference, significance testing, or even HDI data.

“For 60 years the World Bank and the development community have been searching for the secret of prosperity. For both thinkers and doers, this has been an emotional rollercoaster of hope and disappointment, certainty and doubt. In the front seat of this drama were the World Bank’s country directors who were responsible for bridging the world of ideas with that of action, the technical with the political. In this book they tell this story from a deeply personal, humble, and engaged perspective. This book is fundamental reading for the next generation of those who take on the quest for development.”Ricardo Hausmann, Professor of the Practice of Economic DevelopmentJohn F. Kennedy School of Government, Harvard University In At the Frontlines of Development former World Bank country directors recount their experiences, both as managers of the World Bank's programs in global economic hotspots of the 1990s as well as throughout their careers in development economics. These essays detail, among many stories of development in the 1990s, how China and India lifted hundreds of millions out of poverty, while Russia collapsed; how Bosnia and Herzegovina and Mozambique remade their war-ravaged economies; and how Thailand, Turkey, and Argentina fell into financial crisis. These remarkable stories, told in first-person by the country directors who were there to witness them, provide candid assessments of development in the 1990s—what succeeded, what failed, and what lessons emerged. This book is part of a larger effort undertaken by the World Bank to understand the development experience of the 1990s, an extraordinary eventful decade. Each of the project‘s three volumes serves a different purpose. Economic Growth in the 1990s provides comprehensive analysis of the decade's development experience, while Development Challenges in the 1990s offers insights on the practical concerns faced by policymakers.

This book is part of a larger effort undertaken by the World Bank to understand the development experience of the 1990s, an extraordinary eventful decade. Each of the project’s three volumes serves a different purpose. Development Challenges in the 1990s: Leading Policymakers Speak from Experience offers insights on the practical concerns faced by policymakers, while At the Frontlines of Development: Reflections from the World Bank considers the operational implications of the decade for the World Bank as an institution. This volume, Economic Growth in the 1990s: Learning from a Decade of Reform, provides comprehensive analysis of the decade’s development experience and examines the impact of key policy and institutional reforms of growth.Economic Growth in the 1990s confirms and builds on the conclusions of an earlier World Bank book, The East Asian Miracle (1993), which reviewed experiences of highly successful East Asian economies. It confirms the importance of growth of fundamental principles: macro stability, market forces governing the allocation of resources, openness, and the sharing of the benefits of growth. At the same time, it echoes the finding that these principles translate into diverse policy and institutional paths, implying the economic policies and policy advice must be country-specific and institutional-sensitive if they are to be effective. The authors examine the impact of growth of key policy and institutional reforms: macroeconomic stabilization, trade liberalization, deregulation of finance, privatization, deregulation of utilities, modernization of the public sector with a view to increasing its effectiveness and accountability, and the spread of democracy and decentralization. They draw lessons both from a policy and institutional perspective and from the perspective of country experiences about how reforms in each policy and institutional area have affected growth.

This chapter contains sections titled: Iran, Afghanistan, Algeria Hegemonic, Heroic, and Hyper ‐ Masculinities Feminist Responses Conclusion References

Cerebrovascular disease is the third most common cause of death in developed countries, but our understanding of the cells that compose the cerebral vasculature is limited. Here, using vascular single-cell transcriptomics, we provide molecular definitions for the principal types of blood vascular and vessel-associated cells in the adult mouse brain. We uncover the transcriptional basis of the gradual phenotypic change (zonation) along the arteriovenous axis and reveal unexpected cell type differences: a seamless continuum for endothelial cells versus a punctuated continuum for mural cells. We also provide insight into pericyte organotypicity and define a population of perivascular fibroblast-like cells that are present on all vessel types except capillaries. Our work illustrates the power of single-cell transcriptomics to decode the higher organizational principles of a tissue and may provide the initial chapter in a molecular encyclopaedia of the mammalian vasculature. Single-cell transcriptomic analysis of the murine blood–brain barrier provides molecular definitions of the main vascular cell types, classifies perivascular cell types and sheds light on the organization of the arteriovenous axis. Molecular map of brain vascular cells Good vascular health is essential to proper brain function. Yet brain vascular cells have not been systematically characterized at a molecular level. Christer Betsholtz and colleagues use single-cell transcriptomics to identify the molecular profiles of the main vascular cell types in the adult mouse brain. The molecular identity and phenotype of endothelial cells change gradually along the arteriovenous axis, whereas mural cells are precisely defined either as arterial or arteriole smooth muscle cells and pericytes, or as venous smooth muscle cells. The work also provides a comprehensive molecular definition of pericytes, showing that the pericytes of one organ are highly homogeneous but quite distinct from those of a different organ. Finally, the analyses uncover a novel perivascular cell type that shares some similarities with fibroblasts and that makes up the outer layer of all brain vessels except capillaries.

Cryptosporidium is increasingly recognized as one of the major causes of moderate to severe diarrhoea in developing countries. With treatment options limited, control relies on knowledge of the biology and transmission of the members of the genus responsible for disease. Currently, 26 species are recognized as valid on the basis of morphological, biological and molecular data. Of the nearly 20 Cryptosporidium species and genotypes that have been reported in humans, Cryptosporidium hominis and Cryptosporidium parvum are responsible for the majority of infections. Livestock, particularly cattle, are one of the most important reservoirs of zoonotic infections. Domesticated and wild animals can each be infected with several Cryptosporidium species or genotypes that have only a narrow host range and therefore have no major public health significance. Recent advances in next-generation sequencing techniques will significantly improve our understanding of the taxonomy and transmission of Cryptosporidium species, and the investigation of outbreaks and monitoring of emerging and virulent subtypes. Important research gaps remain including a lack of subtyping tools for many Cryptosporidium species of public and veterinary health importance, and poor understanding of the genetic determinants of host specificity of Cryptosporidium species and impact of climate change on the transmission of Cryptosporidium.

The enteric parasite, Cryptosporidium is a major cause of diarrhoeal illness in humans and animals worldwide. No effective therapeutics or vaccines are available and therefore control is dependent on understanding transmission dynamics. The development of molecular detection and typing tools has resulted in the identification of a large number of cryptic species and genotypes and facilitated our understanding of their potential for zoonotic transmission. Of the 44 recognised Cryptosporidium species and >120 genotypes, 19 species, and four genotypes have been reported in humans with C. hominis, C. parvum, C. meleagridis, C. canis and C. felis being the most prevalent. The development of typing tools that are still lacking some zoonotic species and genotypes and more extensive molecular epidemiological studies in countries where the potential for transmission is highest are required to further our understanding of this important zoonotic pathogen. Similarly, whole-genome sequencing (WGS) and amplicon next-generation sequencing (NGS) are important for more accurately tracking transmission and understanding the mechanisms behind host specificity.

Detection of SARS-CoV-2 using RT–PCR and other advanced methods can achieve high accuracy. However, their application is limited in countries that lack sufficient resources to handle large-scale testing during the COVID-19 pandemic. Here, we describe a method to detect SARS-CoV-2 in nasal swabs using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and machine learning analysis. This approach uses equipment and expertise commonly found in clinical laboratories in developing countries. We obtained mass spectra from a total of 362 samples (211 SARS-CoV-2-positive and 151 negative by RT–PCR) without prior sample preparation from three different laboratories. We tested two feature selection methods and six machine learning approaches to identify the top performing analysis approaches and determine the accuracy of SARS-CoV-2 detection. The support vector machine model provided the highest accuracy (93.9%), with 7% false positives and 5% false negatives. Our results suggest that MALDI-MS and machine learning analysis can be used to reliably detect SARS-CoV-2 in nasal swab samples.SARS-CoV-2 is reliably detected in nasal swab samples using mass spectrometry and machine learning analysis.

Disseminated histoplasmosis, a disease that often resembles and is mistaken for tuberculosis, is a major cause of death in patients with advanced HIV disease. Histoplasma antigen detection tests are an important addition to the diagnostic arsenal for patients with advanced HIV disease and should be considered for inclusion on the World Health Organization Essential Diagnostics List. Our objective was to systematically review the literature to evaluate the diagnostic accuracy of Histoplasma antigen tests in the context of advanced HIV disease, with a focus on low- and middle-income countries. A systematic review of the published literature extracted data on comparator groups, type of histoplasmosis, HIV status, performance results, patient numbers, whether patients were consecutively enrolled or if the study used biobank samples. PubMed, Scopus, Lilacs and Scielo databases were searched for published articles between 1981 and 2018. There was no language restriction. Of 1327 screened abstracts we included a total of 16 studies in humans for further analysis. Most studies included used a heterogeneousgroup of patients, often without HIV or mixing HIV and non HIV patients, with disseminated or non-disseminated forms of histoplasmosis. Six studies did not systematically use mycologically confirmed cases as a gold standard but compared antigen detection tests against another antigen detection test. Patient numbers were generally small (19-65) in individual studies and, in most (7/10), no confidence intervals were given. The post test probability of a positive or negative test were good suggesting that this non invasive diagnostic tool would be very useful for HIV care givers at the level of reference hospitals or hospitals with the infrastructure to perform ELISA tests. The first results evaluating point of care antigen detection tests using a lateral flow assay were promising with high sensitivity and specificity. Antigen detection tests are promising tools to improve detection of and ultimately reduce the burden of histoplasmosis mortality in patients with advanced HIV disease.

BackgroundTuberculosis (TB) is the second most common cause of death due to a single infectious agent worldwide after COVID-19. Up to 15% of the cases are extrapulmonary, and if it is located in the central nervous system (CNS-TB), it presents high morbidity and mortality. Still, the global epidemiology of CNS-TB remains unknown.AimTo estimate the global prevalence and incidence of CNS-TB based on the available literature.MethodsWe systematically searched in MEDLINE, Cochrane Central, Scopus, and LILACS databases (April 2020) and included observational studies evaluating the epidemiology of CNS-TB. Two independent researchers selected and assessed the quality of the studies and extracted relevant data. We performed random-effects model meta-analysis of proportions to estimate the pooled prevalence. The protocol of this study was registered in PROSPERO (CRD 42018103946).ResultsWe included 53 studies from 28 countries, representing 12,621 patients with CNS-TB. The prevalence of CNS-TB was 2 per 100,000 inhabitants. According to the clinical setting, the prevalence of CNS-TB represented the 13.91% of all cases of meningitis and 4.55% of all cases of TB. The mortality was calculated by tuberculous meningitis due to the lack of data of other presentation, and it rose up to 42.12% in hospitalized patients. The burden of countries’ TB, Human Development Index (HDI), and the prevalence of HIV were the most important prevalence moderators, especially in patients with TB. No data on incidence were found.ConclusionThe prevalence and mortality of CNS-TB remain high, and TB meningitis is the most frequent presentation. The highest prevalence was reported in developing countries, and its main moderators were the countries’ HDI and HIV infection. Our study was limited by high heterogeneity, risk of bias, and potential data under registration from developing countries. The integration of CNS-TB early detection and management into national TB programs and population-based studies from developing countries are needed for better global estimation and response.