86 research outputs found
Land tenure in rural lowland Myanmar: From historical perspectives to contemporary realities in the Dry zone and the Delta: Of lives of land Myanmar research series.
This study emerged out of an identified need to document social processes leading to land insecurity, and those leading to investment and sustainable use of lands by rural populations. Focusing on the Delta and Dry Zone, the main paddy producing regions of Myanmar, this analysis unravels the powers at play in shaping rural households’ relationship to land. From British colonization to the 2012 reforms, many issues have remained relatively unchanged with regards to local dynamics of landlessness, exclusion processes, local power plays, restrictions in farmers’ land rights and the State’s excessive focus on rice. In the midst of a fast evolving legal context, this work provides a typology of farmers and the landless and argues that more attention needs to be paid to understand the diversity of rural households and forms of landlessness
Looking Back, Looking Forward: Progress and Prospect for Spatial Demography
In 2011 a specialist meeting on the “Future Directions in Spatial Demography” was
held in Santa Barbara, California (Matthews, Goodchild, & Janelle, 2012).1
This specialist meeting was the capstone to a multi-year National Institutes of Health training
grant that had supported workshops in advanced spatial analysis methods increasing used by population scientists.2
Early-career scholars who had participated in the
training workshops and senior demographers and geographers drawn from across
the United States participated in the specialist meeting.3
The application process to
attend the 2011 meeting, required that each of the forty-one attendees submit a statement that reviewed challenges and identifed new directions for spatial demography,
including gaps in current knowledge regarding innovations in geospatial data, spatial
statistical methods, and the integration of data and models to enhance the science of
spatial demography in population and health research. Reading again some of the ruminations of these scholars is an interesting exercise in its own right. The level
of optimism back in 2011 was high, and especially regarding anticipated changes
in computational capacity, leveraging big data (including volunteered geographic
information), developments in data systems (including new data high resolution data
products and online resources such as multi-scale map interfaces and dashboards),
and in methods such as time–space models, agent-based models, microsimulation,
and small-area estimation. There were also several challenges identifed including,
but not limited to, study designs, data integration, data validation, confdentiality,
non-representative data, historic data, defnitions of place, residential selection and
mobility as well as two overarching challenges related to the role and contribution of
spatial demographers in interdisciplinary population and health research, and many,
many comments on training issues. Substantively the attendees research focused
on all forms of interaction between people and place (and the reciprocal relations
between the people in social, built, and physical environment contexts) covering the
gamut of demographic processes from reproductive health to mortality, though with
perhaps an overrepresentation of researchers in areas related to population and environment research, racial and residential segregation, and migration.The R25 Training Grant was funded through the Eunice Kennedy Shriver National Institutes of Child
Health and Human Development (NICHD 5R-25 HD057002; Principal Investigator: Stephen A. Matthews).
Looking Back, Looking Forward: Progress and Prospect for Spatial Demography
In 2011 a specialist meeting on the “Future Directions in Spatial Demography” was
held in Santa Barbara, California (Matthews, Goodchild, & Janelle, 2012).1
This specialist meeting was the capstone to a multi-year National Institutes of Health training
grant that had supported workshops in advanced spatial analysis methods increasing used by population scientists.2
Early-career scholars who had participated in the
training workshops and senior demographers and geographers drawn from across
the United States participated in the specialist meeting.3
The application process to
attend the 2011 meeting, required that each of the forty-one attendees submit a statement that reviewed challenges and identifed new directions for spatial demography,
including gaps in current knowledge regarding innovations in geospatial data, spatial
statistical methods, and the integration of data and models to enhance the science of
spatial demography in population and health research. Reading again some of the ruminations of these scholars is an interesting exercise in its own right. The level
of optimism back in 2011 was high, and especially regarding anticipated changes
in computational capacity, leveraging big data (including volunteered geographic
information), developments in data systems (including new data high resolution data
products and online resources such as multi-scale map interfaces and dashboards),
and in methods such as time–space models, agent-based models, microsimulation,
and small-area estimation. There were also several challenges identifed including,
but not limited to, study designs, data integration, data validation, confdentiality,
non-representative data, historic data, defnitions of place, residential selection and
mobility as well as two overarching challenges related to the role and contribution of
spatial demographers in interdisciplinary population and health research, and many,
many comments on training issues. Substantively the attendees research focused
on all forms of interaction between people and place (and the reciprocal relations
between the people in social, built, and physical environment contexts) covering the
gamut of demographic processes from reproductive health to mortality, though with
perhaps an overrepresentation of researchers in areas related to population and environment research, racial and residential segregation, and migration.The R25 Training Grant was funded through the Eunice Kennedy Shriver National Institutes of Child
Health and Human Development (NICHD 5R-25 HD057002; Principal Investigator: Stephen A. Matthews).
The emergence and diversification of a zoonotic pathogen from within the microbiota of intensively farmed pigs
The expansion and intensification of livestock production is predicted to promote the emergence of pathogens. As pathogens sometimes jump between species, this can affect the health of humans as well as livestock. Here, we investigate how livestock microbiota can act as a source of these emerging pathogens through analysis of Streptococcus suis, a ubiquitous component of the respiratory microbiota of pigs that is also a major cause of disease on pig farms and an important zoonotic pathogen. Combining molecular dating, phylogeography, and comparative genomic analyses of a large collection of isolates, we find that several pathogenic lineages of S. suis emerged in the 19th and 20th centuries, during an early period of growth in pig farming. These lineages have since spread between countries and continents, mirroring trade in live pigs. They are distinguished by the presence of three genomic islands with putative roles in metabolism and cell adhesion, and an ongoing reduction in genome size, which may reflect their recent shift to a more pathogenic ecology. Reconstructions of the evolutionary histories of these islands reveal constraints on pathogen emergence that could inform control strategies, with pathogenic lineages consistently emerging from one subpopulation of S. suis and acquiring genes through horizontal transfer from other pathogenic lineages. These results shed light on the capacity of the microbiota to rapidly evolve to exploit changes in their host population and suggest that the impact of changes in farming on the pathogenicity and zoonotic potential of S. suis is yet to be fully realized
The emergence and diversification of a zoonotic pathogen from within the microbiota of intensively farmed pigs
The expansion and intensification of livestock production is predicted to promote the
emergence of pathogens. As pathogens sometimes jump between species, this can affect
the health of humans as well as livestock. Here, we investigate how livestock microbiota
can act as a source of these emerging pathogens through analysis of Streptococcus suis, a
ubiquitous component of the respiratory microbiota of pigs that is also a major cause of
disease on pig farms and an important zoonotic pathogen. Combining molecular dating,
phylogeography, and comparative genomic analyses of a large collection of isolates, we
find that several pathogenic lineages of S. suis emerged in the 19th and 20th centuries,
during an early period of growth in pig farming. These lineages have since spread between
countries and continents, mirroring trade in live pigs. They are distinguished by the
presence of three genomic islands with putative roles in metabolism and cell adhesion,
and an ongoing reduction in genome size, which may reflect their recent shift to a more
pathogenic ecology. Reconstructions of the evolutionary histories of these islands reveal
constraints on pathogen emergence that could inform control strategies, with pathogenic lineages consistently emerging from one subpopulation of S. suis and acquiring
genes through horizontal transfer from other pathogenic lineages. These results shed
light on the capacity of the microbiota to rapidly evolve to exploit changes in their host
population and suggest that the impact of changes in farming on the pathogenicity and
zoonotic potential of S. suis is yet to be fully realized.This work was primarily funded by an EU Horizon 2020 grant “PIGSs” (727966) and a ZELS BBSRC award “Myanmar Pigs Partnership (MPP)” (BB/L018934/1). G.G.R.M., E.L.M., and L.A.W. were supported by a Sir Henry Dale Fellowship to L.A.W. jointly funded by the Wellcome Trust and the Royal Society (109385/Z/15/Z). N.H. was supported by a Challenge grant from the Royal Society (CH16011) and an Isaac Newton Trust Research Grant [17.24(u)]. G.G.R.M. was also supported by a Research Fellowship at Newnham College. S.B. is supported by the Medical Research Council (MR/V032836/1). PIC North America provided part of the funds for the sequencing of the isolates from the USA. A.J.B. and M.M. were funded by Medical Research Council and Biotechnology and Biological Sciences Research Council studentships respectively, and M.M. was co-funded by the Raymond and Beverly Sackler Fund. We would like to acknowledge Susanna Williamson at the APHA for providing samples, Oscar Cabezón for sampling of the wild boar population in Spain, Mark O’Dea for access to sequence data from Australian isolates, the PIGSs and MPP consortiums for providing samples and helpful discussions, Julian Parkhill and John Welch for helpful discussions, and two anonymous reviewers for their valuable suggestions for improving the manuscript. This research was funded in whole or in part by the Wellcome Trust. For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.info:eu-repo/semantics/publishedVersio
Clinical and Virological Features of Dengue in Vietnamese Infants
Dengue is a major public health problem in tropical and subtropical countries, including Vietnam. Dengue cases occur in children and young adults; however, severe dengue also occurs in infants less than 1 year of age. Prompt recognition of dengue is important for appropriate case management, particularly in infants in whom febrile illness from other causes is common. We describe the clinical picture, virological and immunological characteristics of infants with dengue admitted to three hospitals in southern Vietnam, compared with infants admitted with fever not due to dengue. We show that infants with dengue are difficult to distinguish from those with other febrile illnesses based on signs and symptoms at presentation, and so laboratory tests to confirm dengue virus infection may be useful for diagnosis and management. Conventional diagnostic methods for dengue have low sensitivity early in infection, and we show that an alternative antigen-detection assay that has demonstrated good sensitivity and specificity in older age groups also performs well in infants. This study will help to inform the diagnosis and management of dengue in infants
Serotype-Specific Differences in the Risk of Dengue Hemorrhagic Fever: An Analysis of Data Collected in Bangkok, Thailand from 1994 to 2006
The four dengue viruses (DENV) represent the most common human arbovirus infections in the world and are currently a challenging problem, particularly in the tropical and subtropical regions of Asia and the Americas. Infection with DENV may produce symptoms of varying severity. While access to care, appropriate interventions, host genetic factors, and previous exposure to DENV are all known to affect the outcome of the infection, it is not entirely understood why some individuals develop more severe disease. It has been hypothesized that the four dengue serotypes differ in disease severity and clinical manifestations. This analysis assessed whether there were significant differences in severity of disease caused by the dengue serotypes in a pediatric population in Thailand. We found significant and non-significant correlations between dengue serotype 2 infection and more severe dengue disease. We also found that individual serotypes varied in disease severity between study years, perhaps supporting the hypothesis that the particular sequences of primary and secondary DENV infections influence disease severity
Multiple Loci Are Associated with White Blood Cell Phenotypes
White blood cell (WBC) count is a common clinical measure from complete blood count assays, and it varies widely among healthy individuals. Total WBC count and its constituent subtypes have been shown to be moderately heritable, with the heritability estimates varying across cell types. We studied 19,509 subjects from seven cohorts in a discovery analysis, and 11,823 subjects from ten cohorts for replication analyses, to determine genetic factors influencing variability within the normal hematological range for total WBC count and five WBC subtype measures. Cohort specific data was supplied by the CHARGE, HeamGen, and INGI consortia, as well as independent collaborative studies. We identified and replicated ten associations with total WBC count and five WBC subtypes at seven different genomic loci (total WBC count—6p21 in the HLA region, 17q21 near ORMDL3, and CSF3; neutrophil count—17q21; basophil count- 3p21 near RPN1 and C3orf27; lymphocyte count—6p21, 19p13 at EPS15L1; monocyte count—2q31 at ITGA4, 3q21, 8q24 an intergenic region, 9q31 near EDG2), including three previously reported associations and seven novel associations. To investigate functional relationships among variants contributing to variability in the six WBC traits, we utilized gene expression- and pathways-based analyses. We implemented gene-clustering algorithms to evaluate functional connectivity among implicated loci and showed functional relationships across cell types. Gene expression data from whole blood was utilized to show that significant biological consequences can be extracted from our genome-wide analyses, with effect estimates for significant loci from the meta-analyses being highly corellated with the proximal gene expression. In addition, collaborative efforts between the groups contributing to this study and related studies conducted by the COGENT and RIKEN groups allowed for the examination of effect homogeneity for genome-wide significant associations across populations of diverse ancestral backgrounds
Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants
© The Author(s) 2018. Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probittransformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the highincome Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups
Repositioning of the global epicentre of non-optimal cholesterol
High blood cholesterol is typically considered a feature of wealthy western countries(1,2). However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world(3) and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health(4,5). However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular riskchanged from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.Peer reviewe
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