Long-term population projections: Scenarios of low or rebounding fertility.

The size of the human population is projected to peak in the 21st century. But quantitative projections past 2100 are rare, and none quantify the possibility of a rebound from low fertility to replacement-level fertility. Moreover, the most recent long-term deterministic projections were published a decade ago; since then there has been further global fertility decline. Here we provide updated long-term cohort-component population projections and extend the set of scenarios in the literature to include scenarios in which future fertility (a) stays below replacement or (b) recovers and increases. We also characterize old-age dependency ratios. We show that any stable, long-run size of the world population would persistently depend on when an increase towards replacement fertility begins. Without such an increase, the 400-year span when more than 2 billion people were alive would be a brief spike in history. Indeed, four-fifths of all births-past, present, and future-would have already happened.

Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021.

BACKGROUND: Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. METHODS: To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values-a metric assessing gain in forecasting accuracy-by comparing predicted versus observed ASFRs from the past 15 years (2007-21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. FINDINGS: During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63-5·06) to 2·23 (2·09-2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137-147), declining to 129 million (121-138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1-canonically considered replacement-level fertility-in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7-29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59-2·08) in 2050 and 1·59 (1·25-1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6-43·1) in 2050 and 54·3% (47·1-59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions-decreasing, for example, in south Asia from 24·8% (23·7-25·8) in 2021 to 16·7% (14·3-19·1) in 2050 and 7·1% (4·4-10·1) in 2100-but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40-1·92) in 2050 and 1·62 (1·35-1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. INTERPRETATION: Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. FUNDING: Bill & Melinda Gates Foundation.

Saúde em Dados / Health in data

O Boletim CEInfo "Saúde em Dados" é uma publicação em formato eletrônico com periodicidade anual e de livre acesso editado pela Coordenação de Epidemiologia e Informação (CEInfo) da Secretaria Municipal da Saúde de São Paulo (SMS-SP). O documento é apresentado em dois formatos: uma versão em PDF para consulta e download e outra em formato aberto com conteúdo das diferentes unidades territoriais/administrativas do Município de São Paulo ­ Coordenadoria Regional de Saúde/Supervisão Técnica de Saúde e Subprefeitura. O "Saúde em Dados" foi criado para promover a disseminação de dados sobre nascimentos, mortes e adoecimento da população paulistana, além da estrutura de estabelecimentos/serviços da rede SUS e sua produção assistencial com o objetivo de contribuir com a organização das ações de saúde no Município. Desde 2021, são apresentados os registros de síndrome gripal (SG), síndrome respiratória aguda grave (SRAG) e óbitos decorrentes da pandemia de Covid-19. Na sua 22ª edição, foram incluídos a proporção de nascidos vivos com anomalias congênitas prioritárias segundo definição do Ministério da Saúde, além de alguns agravos de notificação compulsória: doenças e agravos relacionados ao trabalho (DART), acidentes e violências. Os coeficientes foram calculados com a projeção da população residente em 2022 e padronizados por idade com base na população residente de 2020 do Município de São Paulo. Como destaque e a partir desta edição, são apresentados indicadores de mortalidade segundo sexo biológico para as doenças isquêmicas do coração, doenças cerebrovasculares, diabetes mellitus, câncer de pulmão e câncer colorretal. As informações podem ser utilizadas na produção de análises sobre a situação de saúde e de apoio aos gestores, trabalhadores e demais interessados em discutir as ações e políticas de saúde na cidade de São Paulo. Assim qualquer pessoa pode acessar estes conteúdos e utilizá-los com diferentes finalidades e formatos, sendo necessária apenas a preservação da sua origem e citação da fonte. Espera-se que esta publicação cumpra sua finalidade como mais um instrumento público de divulgação de informações de saúde, de apoio aos gestores e à participação social do SUS na cidade de São Paulo.

Comparative demographics, population projections and egg maturation patterns of four eupelmid egg parasitoids on the factitious host Antherae pernyi.

BACKGROUND: The genera Anastatus and Mesocomys (both Hymenoptera: Eupelmidae) are important solitary egg endoparasitoids as biological control agents for lepidopterous and hemipterous pests worldwide. Here, we comparatively evaluated the demographic parameters of four important eupelmid egg parasitoids (Anastatus fulloi, A. japonicus, Mesocomys albitarsis and M. trabalae) reared on the factitious host eggs of the Chinese oak silkworm Antheraea pernyi, using age-stage two-sex life tables, their population projections as well as egg maturation patterns. RESULTS: Both the age-specific net reproductive rate (lx mx ) and reproductive value (vxj ) increased initially and then gradually decreased with increasing age in all four parasitoid species. Overall, the two Mesocomys species had higher survival rates at stable age-stage distribution, peak reproductive values, and intrinsic rates of increase than the two Anastatus species. Mesocomys albitarsis had the longest longevity, whereas A. japonicus had the longest oviposition days and mean generation time. The two Mesocomys species are thus projected to have faster population increase than the two Anastatus species. Adult females of all four parasitoid species emerged with only a few mature eggs (< 6 eggs) and most of their eggs were matured post-emergence (strict synovigeny). The estimated 90% of lifetime complement of reproduction (offspring) and realized days were 374 and 32 for A. japonicus, 337 and 22 for M. trabalae, 330 and 19 for M. albitarsis and 147 and 28 for A. fulloi. CONCLUSION: Our results indicated that the two Mesocomys species have higher control capacity than the two Anastatus species. Provision of adult food for these strictly synovigenic parasitoids would be essential to prolong their lifespan and continuously produce eggs for parasitizing their hosts for mass rearing or augmentative biological control programs. © 2023 Society of Chemical Industry.

Probabilistic County-Level Population Projections.

Population projections provide predictions of future population sizes for an area. Historically, most population projections have been produced using deterministic or scenario-based approaches and have not assessed uncertainty about future population change. Starting in 2015, however, the United Nations (UN) has produced probabilistic population projections for all countries using a Bayesian approach. There is also considerable interest in subnational probabilistic population projections, but the UN's national approach cannot be used directly for this purpose, because within-country correlations in fertility and mortality are generally larger than between-country ones, migration is not constrained in the same way, and there is a need to account for college and other special populations, particularly at the county level. We propose a Bayesian method for producing subnational population projections, including migration and accounting for college populations, by building on but modifying the UN approach. We illustrate our approach by applying it to the counties of Washington State and comparing the results with extant deterministic projections produced by Washington State demographers. Out-of-sample experiments show that our method gives accurate and well-calibrated forecasts and forecast intervals. In most cases, our intervals were narrower than the growth-based intervals issued by the state, particularly for shorter time horizons.

A study on social contact rates relevant for the spread of infectious diseases in a Brazilian slum / Um estudo sobre as taxas de contatos sociais relevantes para a difusão de doenças infecciosas em um aglomerado brasileiro / Un estudio sobre las tasas de contactos sociales relevantes para la propagación de enfermedades infecciosas en un barrio popular del Brasil

Abstract Inspired by the POLYMOD study, an epidemiological survey was conducted in June 2021 in one of the most densely populated and socially vulnerable sectors of Belo Horizonte (Brazil). A sample of 1000 individuals allowed us to identify, within a 24-hour period, the rates of social contacts by age groups, the size and frequency of clique in which respondents participated, as well as other associated sociodemographic factors (number of household residents, location of contact, use of public transportation, among others). Data were analyzed in two phases. In the first one, results between two SIR models that simulated an eight-day pandemic process were compared. One included parameters adjusted from observed contact rates, the other operated with parameters adjusted from projected rates for Brazil. In the second phase, by means of a log-lin regression, we modeled the main social determinants of contact rates, using clique density as a proxy variable. The data analysis showed that family size, age, and social circles are the main covariates influencing the formation of cliques. It also demonstrated that compartmentalized epidemiological models, combined with social contact rates, have a better capacity to describe the epidemiological dynamics, providing a better basis for mitigation and control measures for diseases that cause acute respiratory syndromes.

Resumo Inspirado no estudo POLYMOD, foi realizado, em junho de 2021, um survey epidemiológico num dos setores de maior densidade populacional e vulnerabilidade social de Belo Horizonte (Brasil). Uma amostra de 1.000 domicílios permitiu identificar, num período de 24 horas, as taxas de contatos sociais por faixas etárias, o tamanho e a frequência de cliques do qual participou o respondente, assim como outros fatores sociodemográficos associados (número de moradores do domicílio, local do contato, uso do transporte público, entre outros). Os dados foram analisados em duas fases. Na primeira, foram comparados os resultados entre dois modelos SIR que simularam um processo pandêmico de oito dias. Um incluiu parâmetros ajustados a partir das taxas de contatos observadas. O outro operou com parâmetros ajustados a partir de taxas projetadas para o Brasil. Na segunda fase, mediante uma regressão log-lin, modelamos os principais determinantes sociais das taxas de contato, utilizando o adensamento de cliques como uma variável proxy. A análise dos dados mostrou que o tamanho da família, a idade e os círculos sociais são as principais covariáveis que influenciam a formação dos cliques. Também demonstrou que modelos epidemiológicos compartimentais, combinados com taxas de contato social, têm melhor capacidade de descrever a dinâmica epidemiológica, fornecendo uma melhor base para medidas de mitigação e controle de doenças que causam síndromes respiratórias agudas.

Resumen Con inspiración en el estudio POLYMOD, se hizo una encuesta epidemiológica, en junio de 2021, en uno de los sectores más densamente poblados y socialmente vulnerables de Belo Horizonte (Brasil). Una muestra de mil hogares permitió identificar, en un período de 24 horas, el tamaño y la frecuencia de los cliques en los que participó el encuestado, las tasas de contactos sociales por grupos de edad, así como otros factores sociodemográficos asociados (número de residentes en el hogar, lugar de contacto, uso del transporte público, entre otros). Los datos se analizaron en dos fases. En la primera, se compararon los resultados entre dos modelos SIR que simularon un proceso pandémico de ocho días. Uno incluyó parámetros ajustados a partir de tasas de contacto observadas; el otro operó con parámetros ajustados a partir de tasas proyectadas para Brasil. En la segunda, mediante una regresión log-lin, se modelaron los principales determinantes sociales de las tasas de contacto, utilizando la densificación de cliques como una variable proxy. El análisis de los datos mostró que el tamaño de la familia, la edad y los círculos sociales son las principales covariables que influyen en la formación de camarillas. También demostró que los modelos epidemiológicos compartimentados, combinados con tasas de contacto social, son más capaces de describir la dinámica epidemiológica, proporcionando una mejor base para las medidas de mitigación y control de las enfermedades causantes de síndromes respiratorios agudos.

Trajetórias socioeconômicas compartilhadas no Brasil: cenários para a dinâmica populacional e os desafios à adaptação e mitigação / Shared socioeconomic pathways in Brazil: Scenarios for population dynamics and the challenges to adaptation and mitigation / Trayectorias socioeconómicas compartidas en Brasil: escenarios de dinámica poblacional y desafíos para la adaptación y mitigación

Resumo Dentre os múltiplos avanços científicos na compreensão das relações entre mudanças climáticas e dinâmica populacional, uma das principais inovações ocorreu na atual geração de modelagem climática, com a inclusão de um conjunto de cenários em que as questões populacionais são centrais. Baseados em narrativas de trajetórias socioeconômicas, estes cenários traçam alternativas para os desenvolvimentos sociais futuros, que, por sua vez, consideram projeções populacionais multidimensionais, construídas a partir das variáveis sexo, idade e escolaridade. Tais projeções incorporam heterogeneidades populacionais relevantes para a adaptação, sendo, potencialmente, mais sensíveis às mudanças na dinâmica demográfica e à compreensão da relação população e ambiente. No Brasil, contudo, tanto os pressupostos como as implicações desta abordagem são quase inexistentes. O presente artigo aborda esta discussão para o país, considerando seus aspectos teóricos e metodológicos. Destacam-se algumas das inferências da abordagem das shared socioeconomic pathways (SSPs) - trajetórias socioeconômicas compartilhadas - para construir projeções populacionais no nível subnacional, enfatizando os ganhos potenciais desta agenda no campo de população e ambiente.

Abstract During the past decades, there were scientific advances to better comprehend climate change and population dynamics. One of the main ones was the inclusion of a set of scenarios in current generation of climate modelling, with population as its human core. These are the shared socioeconomic pathways that result in population projections constructed by multi-dimensional demography, with population disaggregated by, sex, age and educational attainment. Such projections incorporate relevant population heterogeneities to adaptation and are potentially more sensitive to capture changes in demographic dynamics. This paper addresses this discussion for Brazil, considering both theoretical and methodological aspects. We highlight some of the implications of SSPs approach to construct population projections at the subnational level, emphasizing the benefits this agenda could bring to the population and environment fields.

Resumen Los avances en la ciencia para una mejor comprensión de las relaciones entre el cambio climático y la dinámica de la población se han producido en varios campos durante las últimas tres décadas. Una de las principales innovaciones se observa en la generación actual de modelos climáticos, con la inclusión de un conjunto de escenarios en los que los temas de población son centrales. Estos escenarios, denominados trayectorias socioeconómicas compartidas, esbozan alternativas para futuros desarrollos sociales que, a su vez, consideran proyecciones poblacionales multidimensionales, construidas a partir de las variables sexo, edad y educación. Estas proyecciones incorporan heterogeneidades de población relevantes para la adaptación y son potencialmente más sensibles a los cambios en la dinámica demográfica. Este artículo aborda esta discusión para Brasil, considerando sus aspectos teóricos y metodológicos. Se destacan algunas de las implicaciones del enfoque para construir proyecciones de población en el ámbito subnacional, con énfasis los logros que esta agenda puede traer al campo de población y medio ambiente.

Undocumented Older Latino Immigrants in the United States: Population Projections and Share of Older Undocumented Latinos by Health Insurance Coverage and Chronic Health Conditions, 2018-2038.

OBJECTIVES: This article focuses on the older Latino undocumented population and anticipates how their current demographic characteristics and health insurance coverage might affect future population size and health insurance trends. METHODS: We use the 2013-2018 American Community Survey as a baseline to project growth in the Latino 55 and older undocumented population over the next 20 years. We use the cohort component method to estimate population size across different migration scenarios and distinguish between aging in place and new immigration. We also examine contemporary health insurance coverage and chronic health conditions among 55 and older undocumented Latinos from the 2003-2014 California Health Interview Survey. We then project health insurance rates in 2038 among Latino immigrants under different migration and policy scenarios. RESULTS: If current mortality, migration, and policy trends continue, projections estimate that 40% of undocumented Latino immigrants will be 55 years or older by 2038-nearly all of whom will have aged in place. Currently, 40% of older Latino undocumented immigrants do not have insurance. Without policies that increase access to insurance, projections estimate that the share who are uninsured among all older Latinos immigrants will rise from 15% to 21%, and the share who is both uninsured and living with a chronic health condition will rise from 5% to 9%. DISCUSSION: Without access to health care, older undocumented immigrants may experience delayed care and more severe morbidity. Our projections highlight the need to develop and enact policies that can address impending health access concerns for an increasingly older undocumented Latino population.

A two-sex renewal model and its population projection.

Population projections rely on one-sex renewal models. Consequently, changing the projection of male mortality does not affect the projection of birth, contradicting commonsense. A two-sex renewal model is presented in this paper to provide a better description of reproduction and more reasonable population projections. This model is nonlinear and includes the one-sex renewal models as special cases. In this model, age-specific birth rates are defined for two sexes jointly; total fertility, net reproduction rate, and intrinsic growth rate are also derived for two sexes jointly; and age-specific populations approach or converge to stable status. Applying the two-sex renewal model to Australia, it indicates that one-sex models underestimated the intrinsic growth rate by 14 percent. Compared to the results of one-sex models, the two-sex model would provide higher growth rate for low-fertility countries, and lower growth rate for high-fertility countries. In other words, the one-sex models are commonly biased. If the two-sex model is applied to all the countries, it would project smaller populations for the world in the future.

Características sociodemográficas en cuidadores principales de pacientes operados de cáncer de cerebro / Socio-demographic characteristics in primary caregivers of patients with brain cancer surgery

RESUMEN Introducción: la atención al enfermo es llevada a cabo por una secuencia específica de la familia, por lo que esta es considerada un cuidador principal. Objetivo: describir las características sociodemográficas en cuidadores principales de pacientes operados de cáncer de cerebro. Materiales y métodos : se realizó un estudio descriptivo, retrospectivo, en un universo de 128 cuidadores principales de pacientes operados de cáncer de cerebro en el Hospital Universitario Clínico Quirúrgico Comandante Faustino Pérez Hernández, de Matanzas, entre 2016 y 2018. Criterio de inclusión: cuidadores que residían en la provincia y aceptación del consentimiento informado. Se excluyeron familiares de pacientes que fallecieron durante la investigación. Se aplicaron cuestionarios y entrevistas para caracterizar los resultados. Los mismos se analizaron en frecuencias absolutas, relativas, porcentual, en paquete estadístico de SPSS versión 20.0 en Windows. Resultados : predominó el sexo femenino (79,68 %). El 100 % de los cuidadores principales residían en casa del enfermo. Prevaleció el nivel de escolaridad de técnico medio (35,93 %); 88,28 % de los cuidadores mantenían vínculo laboral, y 41,40 % eran hermanas de los enfermos. Dentro de las necesidades de aprendizaje del cuidador, el déficit de conocimientos sobre la enfermedad constituyó el 73,43 %. Conclusiones: imperó el género femenino en los cuidadores con vínculo laboral, y con mayor incidencia las hermanas. Se evidenció la complejidad del cuidado en el hogar de los pacientes con secuelas, minusvalía progresiva producidas por la enfermedad, y que generalmente la mujer asume con más facilidad (AU).

ABSTRACT Introduction: the care of the patient is carried out by a specific sequence of the family, catalogued as a main caregiver. Objective: to describe the socio-demographic characteristics in main caregivers of patients who underwent a brain cancer surgery. Materials and methods: a retrospective, descriptive study was carried out in a universe of 128 main caregivers of patients who underwent brain cancer surgery in the University Hospital Faustino Perez Hernandez, of Matanzas, from 2016 until 2018. Inclusion criteria: caregivers living in the province of Matanzas and giving the informed consent. The relatives of patients who died during the research were excluded. Interviews were made and questionnaires applied to characterize the results. They were analyzed in absolute, relative, and percentage frequencies in statistical packet Windows SPSS, 20.0. Results: female sex predominated (79.68%). 100% of main caregivers lived in the house of the patient. The technician scholarship predominated (35.93%); 88.28% of the caregivers kept their employment bonds, and 41.40% were patients' sisters. The deficit of knowledge on the disease was 73.43% of the caregiver learning necessities. Conclusions: female genre prevailed in caregivers with employment bonds, with higher incidence of sisters. It was evidenced the complexity of home care of the patients with sequels, progressive disabilities caused by the disease, generally assumed more easily by women (AU).

Footprints to singularity: A global population model explains late 20th century slow-down and predicts peak within ten years.

Projections of future global human population are traditionally made using birth/death trend extrapolations, but these methods ignore limits. Expressing humanity as a K-selected species whose numbers are limited by the global carrying capacity produces a different outlook. Population data for the second millennium up to the year 1970 was fit to a hyper-exponential growth equation, where the rate constant for growth itself grows exponentially due to growth of life-saving technology. The discrepancies between the projected growth and the actual population data since 1970 are accounted for by a decrease in the global carrying capacity due to ecosystem degradation. A system dynamics model that best fits recent population numbers suggests that the global biocapacity may already have been reduced to one-half of its historical value and global carrying capacity may be at its 1965 level and falling. Simulations suggest that population may soon peak or may have already peaked. Population projections depend strongly on the unknown fragility or robustness of the Earth's essential ecosystem services that affect agricultural production. Numbers for the 2020 global census were not available for this study.

Degree day-based model predicts pink bollworm phenology across geographical locations of subtropics and semi-arid tropics of India.

There is a global concern about the effects of climate change driven shifts in species phenology on crop pests. Using geographically and temporally extensive data set of moth trap catches and temperatures across the cotton growing states of India, we predicted the phenology of cotton pink bollworm Pectinophora gossypiella (Saunders). Our approach was centered on growing degree days (GDD), a measure of thermal accumulation that provides a mechanistic link between climate change and species' phenology. The phenology change was predicted by calculating absolute error associated with DD and ordinal date, an alternative predictor of phenology, for peak moth abundance. Our results show that GDD outperformed the ordinal dates in predicting peak moth abundance in 6 out of 10 selected locations. Using established thresholds of 13.0/34.0 °C, mean DD accumulated between the consecutive moth peaks across different years were estimated at 504.05 ± 4.84. Seven generations were determined for pink bollworm in a cropping season, the length of which varied between 35 and 73 days in response to temperature. Pink bollworm population reached its peak during third generation which can be the target for management actions. The study provides essential information for developing pink bollworm management strategies under climate change.

Population-Based Projection of Vision-Related Disability in Australia 2020 - 2060: Prevalence, Causes, Associated Factors and Demand for Orientation and Mobility Services.

PURPOSE: To project the prevalence, causes, associated factors of vision-related disability and demand for orientation and mobility (O&M) services in Australia from 2020 to 2060. METHODS: The age-specific prevalence and main causes of vision-related disability were estimated based on primary data of 74,862 participants in 2015 Survey of Disability, Ageing and Carers. Logistic regression analyses were performed to identify associated factors for the outcome variables including vision-related disability, cataract, macular degeneration and glaucoma. Future prevalence of vision-related disability and demand for O&M services were forecasted using the population projections by the Australian Bureau of Statistics through 2060. RESULTS: The main causes of vision-related disability are non-specific sight loss, cataracts, macular degeneration and glaucoma. Health-related associations for vision-related disability are older age, having a history of stroke, having diabetes, depression, heart disease and hearing impairment. The number of Australians with vision-related disability (283,650, 1.10%) and demand for O&M services (123,317, 0.48%) in 2020 will increase to 559,161 (1.38%) and 237,694 (0.59%) respectively in 2060. CONCLUSIONS: The number of people with vision-related disability and in need of O&M services in Australia will grow exponentially over the coming decades. General health promotion and specific strategies of early detection and timely treatments of the major eye diseases may ameliorate the trend in vision-related disability.

Sublethal effects of three insecticides on fitness parameters and population projection of Brevicoryne brassicae (Hemiptera: Aphididae).

The cabbage aphid, Brevicoryne brassicae (L.), is one of the major insect pests of cole crops in Iran. In most instances outbreaks are normally kept under control by application of insecticides. In this study, the sublethal effects (LC30) of three insecticides, acetamiprid, buprofezin, and thiamethoxam-lambda cyhalothrin, (TLC) were evaluated on the population growth rate of the progeny of insecticide-treated cabbage aphid adults. The age-stage, two-sex life table method was used to analyze the collected data. The results indicated that the insecticide applications affected the duration of the preadult period, their survival, reproduction, life span/longevity, and consequently, the population growth rate of the F1 generation. The indicators of the greatest sublethal effects were noted in the progeny of the TLC-treated adults. These included the lowest net reproductive rate (R0), intrinsic rate of increase (r), finite rate of increase (λ), and the longest mean generation time (T). The highest values of r, λ, R, and the lowest value of T occurred in the control group followed by, in order, the acetamiprid and buprofezin groups. These research findings will be useful in the development and implementation of future aphid management programs.

Prospective measures of aging for Central and South America.

By conventional measures, it is often remarked that Central and South America is one of the fastest aging geographic regions in the world. In recent years, however, scholars have sought to problematize the orthodox measures and concepts employed in the aging literature. By not taking dynamic changes in life expectancy into account, measures which hold chronological age constant (e.g. defining a boundary to old age at 60 or 65) represent a very narrow view of population aging. Furthermore, such constant measures may misrepresent differences between territories when performing a comparative analysis. Prospective measures based on the number of years until death present an alternative approach which can adapt to dynamic changes in life expectancy and differences over time and space. The objective of this paper, then, is to apply the new 'prospective' measures of aging to the territories of Central and South America. We calculate prospective median age; an alternative old-age threshold based on the age at which remaining life expectancy is 15 years, and calculate prospective old-age dependency ratio for 1950-2100 using estimated and projected life tables from the latest iteration of the UN's World Population Prospects. These new measures present a very different view of aging in Central and South America. While there are significant differences across countries, the pace and scale of aging are considerably slower and diminished when compared to standard, orthodox measures based on fixed chronological ages. Applying these new measures can not only serve to present a more realistic view of aging which maps onto demographic reality but can also serve to reconceptualize and reframe the issue as something which is far more manageable (e.g. through institutional reform) than is often perceived to be.

Cerebral palsy in Canada, 2011-2031: results of a microsimulation modelling study of epidemiological and cost impacts. / La paralysie cérébrale au Canada, 2011-2031 : résultats d'une étude de modélisation par microsimulation des répercussions épidémiologiques et économiques.

INTRODUCTION: The objective of our study was to present model-based estimates and projections on current and future health and economic impacts of cerebral palsy in Canada over a 20-year time horizon (2011-2031). METHODS: We used Statistics Canada's Population Health Model (POHEM)-Neurological to simulate individuals' disease states, risk factors and health determinants and to describe and project health outcomes, including disease incidence, prevalence, life expectancy, health-adjusted life expectancy, health-related quality of life and health care costs over the life cycle of Canadians. Cerebral palsy cases were identified from British Columbia's health administrative data sources. A population-based cohort was then used to generate the incidence and mortality rates, enabling the projection of future incidence and mortality rates. A utility-based measure (Health Utilities Index Mark 3) was also included in the model to reflect various states of functional health to allow projections of health-related quality of life. Finally, we estimated caregiving parameters and health care costs from Canadian national surveys and health administrative data and included them as model parameters to assess the health and economic impact of cerebral palsy. RESULTS: Although the overall crude incidence rate of cerebral palsy is projected to remain stable, newly diagnosed cases of cerebral palsy will rise from approximately 1800 in 2011 to nearly 2200 in 2031. In addition, the number of people with the condition is expected to increase from more than 75 000 in 2011 to more than 94 000 in 2031. Direct health care costs in constant 2010 Canadian dollars were about $11 700 for children with cerebral palsy aged 1-4 years versus about $600 for those without the condition. In addition, people with cerebral palsy tend to have longer periods in poorer health-related quality of life. CONCLUSION: Individuals with cerebral palsy will continue to face challenges related to an ongoing need for specialized medical care and a rising need for supportive services. Our study offers important insights into future costs and impacts associated with cerebral palsy and provides valuable information that could be used to develop targeted health programs and strategies for Canadians living with this condition.

Population projections of an endangered cactus suggest little impact of climate change.

Population projections coupled with downscaled climate projections are a powerful tool that allows predicting future population dynamics of vulnerable plants in the face of a changing climate. Traditional approaches used to predict the vulnerability of plants to climate change (e.g. species distribution models) fail to mechanistically describe the basis of a population's dynamics and thus cannot be expected to correctly predict its temporal trends. In this study, we used a 23-year demographic dataset of the acuña cactus, an endangered species, to predict its population dynamics to the end of the century. We used integral projection models to describe its vital rates and population dynamics in relation to plant volume and key climatic variables. We used the resulting climate-driven IPM along with climatic projections to predict the population growth rates from 1991 to 2099. We found the average population growth rate of this population between 1991 and 2013 to be 0.70 (95% CI 0.61-0.79). This result confirms that the population of acuña cactus has been declining and that this decline is due to demographic structure and climate conditions. However, the projection model also predicts that, up to 2080, the population will remain relatively stable mainly due to the survival of its existing adult individuals. Notwithstanding, the long-term viability of the populations can only be achieved through the recruitment of new individuals.

Trends in the utilisation rates and acute hospital capacity needs for total hip replacements: results of an analysis of administrative data.

Total hip replacement surgery is the mainstay of treatment for end-stage hip arthritis. In 2014, there were 28227 procedures (incidence rate 252/100000 population). Using administrative data, we projected the future volume of total hip replacement procedures and incidence rates using two models. The constant rate model fixes utilisation rates at 2014 levels and adjusts for demographic changes. Projections indicate 32248 admissions by 2025 or an annual growth of 1.22% (incidence rate 273). The time trend model additionally projects the evolution in age-specific utilisation rates. 34895 admissions are projected by 2025 or an annual growth of 1.95% (incidence rate 296). The projections show a shift in performing procedures at younger age. Forecasts of length of stay indicate a substantial shortening. By 2025, the required number of hospital beds will be halved. Despite more procedures, capacity can be reduced, leading to organisational change (e.g. elective orthopaedic clinics) and more labour intensive stays.