Annual Population Research Articles

Incidence of Primary Progressive Apraxia of Speech and Primary Progressive Aphasia in Olmsted County, MN, 2011-2022.

No epidemiologic studies have formally assessed the incidence of primary progressive aphasia (PPA) and primary progressive apraxia of speech (PPAOS). Thus, we decided to assess the incidence of these disorders in Olmsted County, MN, between 2011 and 2022, and to characterize clinical, radiographic, and pathologic characteristics of these patients. This was a retrospective examination of data from a population-based cohort of patients with PPA and PPAOS prospectively identified in Olmsted County, MN, from 2011 to 2022. The incidence of PPA among adults (older than 18 years) was calculated for Olmsted County as the number of patients per 100,000 person-years during the study period. The adult population of Olmsted County was determined by the annual catchment population reported by the Rochester Epidemiological Project for each year 2011-2022. A behavioral neurologist verified the clinical diagnoses and determined subtypes. We identified 10 patients (60% female) within the study period (median age of symptoms onset: 70 years; range: 66-73), 8 with PPA and 2 with PPAOS. Of the 8 patients with PPA (6 female patients, 2 male patients), 2 met criteria for non-fluent variant PPA (nfvPPA), 3 for logopenic variant PPA (lvPPA), and 3 for semantic variant (svPPA). Speech evaluation confirmed the clinical diagnoses in all patients and all showed typical imaging findings consistent with their respective subtype. Six patients (2 PPAOS, 2 nfvPPA, 2 lvPPA) died and 3 underwent autopsy (2 PPAOS, 1 nfvPPA), confirming the pathologic diagnosis of progressive supranuclear palsy. The incidence of PPA + PPAOS was 0.70 persons per 100,000 person-years (95% CI 0.34-1.29 persons per 100,000) during the study period. The incidence of PPAOS was 0.14 persons per 100,000 person-years (95% CI 0.02-0.55 persons per 100,000), whereas for the 8 patients with PPA, the incidence was 0.56 persons per 100,000 person-years (95% CI 0.24-1.10 cases per 100,000). The incidence of nfvPPA was 0.14 persons per 100,000 person-years (95% CI 0.02-0.55), 0.21 persons per 100,000 person-years (95% CI 0.04-0.61) for lvPPA, and 0.21 persons per 100,000 person-years (95% CI 0.04-0.61) for svPPA. As a group, PPA and PPAOS are a relatively rare group of diseases. PPAOS has a slightly lower incidence than PPA as a group but similar incidence to the individual PPA variants.

Cancer screening uptake by women from India's largest state Uttar Pradesh: district-wise analysis from the fifth round of National Family Health Survey (2019-2021).

The Government of India (GOI) has launched a nationwide cervical, breast and oral cancer prevention and control program. However, the fifth round of the National Family Health Survey (NFHS-5), a nationwide survey conducted by the Ministry of Health and Family Welfare (MoHFW), GOI, has shown concerning results on screening uptake by both men and women across India. This study was conducted to describe the uptake of cancer screening by women residing in Uttar Pradesh (UP), the largest state of India. We analyzed NFHS-5 data available in public domain to determine the number of women (aged 30-49 years) participating in cancer screening across the 71 districts in UP state. We utilized population projections for the year 2021 provided by the population projections for India and states for calculating the number of women. The district-wise estimation was done using a projection of district-level annual population. Although the GOI has made screening available for common cancers, NFHS-5 results indicated that the screening uptake among women aged 30-49 years is a cause for concern. The data revealed less than 1% of women underwent screening, and some of the districts showed no screening uptake. GOI has laid down a framework for cancer screening; however, poor participation among women calls for research to understand the barriers to cancer screening and to develop interventions to address these barriers.

Population Dynamics of Bactrocera dorsalis (Diptera: Tephritidae) in Four Counties of Yunnan, China, by Electronic Monitoring System.

Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) is a global economic pest that poses a serious threat to the fruit industry. In the southwest of China, Yunnan Province sustains a severe infestation of B. dorsalis. An automated monitoring system designed for B. dorsalis was employed in this study to elucidate the annual population dynamics of B. dorsalis in four counties: Yuanjiang, Huaping, Guangnan, and Ludian in Yunnan. The system utilizes sex parapheromone and image recognition technology. The data uploaded by the device are used to analyze the annual population dynamics of B. dorsalis in different regions. The results showed that the populations of adult B. dorsalis in all four counties peaked twice annually, with Yuanjiang experiencing the earliest peak periods, followed by Huaping, Guangnan, and Ludian. Adult B. dorsalis occurred in Yuanjiang throughout the year, and Yuanjiang had the highest number of B. dorsalis monitored. In Huaping, adult B. dorsalis occurred in March-December and was highly active, with a high population density in 2019. Bactrocera dorsalis did not occur in December in Guangnan but only in May-October in Ludian. Bactrocera dorsalis abundance was correlated with temperature in all four areas. The outcomes of this experiment provide a practical foundation for developing control strategies targeting B. dorsalis in various orchards across each county.

Lateral Ankle Ligament Repair Is Not Only for Young Patients: Trends in Incidence and Demographics.

The purpose of this study was to examine the changes in annual incidence and patient population undergoing lateral ankle ligament repair (LALR) for the surgical treatment of chronic ankle instability. The IBM Watson Health MarketScan Database was queried for patients who underwent LALR from January 2009 to December 2019 based on CPT code 27698. Volume and incidence per 100 000 population were determined for annual sums, gender, age, and geographical regions based on population estimates from the United States Census Bureau. Future annual volumes were statistically projected with linear regression modeling to the year 2032. Overall, 160 457 LALR procedures were identified in the database from 2009 to 2019. Annual incidence increased 76.6% from 3.46 to 6.11 cases per 100 000 population, while estimates of annual volumes are projected to increase 61.5% from 19 829 to 32 033 procedures to the year 2032. Interestingly, the greatest increase in incidence was observed among patients above 70 years old, which might suggest older patients are staying active longer and desiring elective procedures to maintain their activity levels. As the incidence of LALR increases in older patients, more research will be needed to understand the unique surgical considerations and risk factors impacting patient-reported outcomes.Level of Evidence: Level IV.

Mortality due to falls by county, age group, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities

Fall-related mortality has increased rapidly over the past two decades in the USA, but the extent to which mortality varies across racial and ethnic populations, counties, and age groups is not well understood. The aim of this study was to estimate age-standardised mortality rates due to falls by racial and ethnic population, county, and age group over a 20-year period. Redistribution methods for insufficient cause of death codes and validated small-area estimation methods were applied to death registration data from the US National Vital Statistics System and population data from the US National Center for Health Statistics to estimate annual fall-related mortality. Estimates from 2000 to 2019 were stratified by county (n=3110) and five mutually exclusive racial and ethnic populations: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Estimates were corrected for misreporting of race and ethnicity on death certificates using published misclassification ratios. We masked (ie, did not display) estimates for county and racial and ethnic population combinations with a mean annual population of less than 1000. Age-standardised mortality is presented for all ages combined and for age groups 20-64 years (younger adults) and 65 years and older (older adults). Nationally, in 2019, the overall age-standardised fall-related mortality rate for the total population was 13·4 deaths per 100 000 population (95% uncertainty interval 13·3-13·6), an increase of 65·3% (61·9-68·8) from 8·1 deaths per 100 000 (8·0-8·3) in 2000, with the largest increases observed in older adults. Fall-related mortality at the national level was highest across all years in the AIAN population (in 2019, 15·9 deaths per 100 000 population [95% uncertainty interval 14·0-18·2]) and White population (14·8 deaths per 100 000 [14·6-15·0]), and was about half as high among the Latino (8·7 deaths per 100 000 [8·3-9·0]), Black (8·1 deaths per 100 000 [7·9-8·4]), and Asian (7·5 deaths per 100 000 [7·1-7·9]) populations. The disparities between racial and ethnic populations varied widely by age group, with mortality among younger adults highest for the AIAN population and mortality among older adults highest for the White population. The national-level patterns were observed broadly at the county level, although there was considerable spatial variation across ages and racial and ethnic populations. For younger adults, among almost all counties with unmasked estimates, there was higher mortality in the AIAN population than in all other racial and ethnic populations, while there were pockets of high mortality in the Latino population, particularly in the Mountain West region. For older adults, mortality was particularly high in the White population within clusters of counties across states including Florida, Minnesota, and Wisconsin. Age-standardised mortality due to falls increased over the study period for each racial and ethnic population and almost every county. Wide variation in mortality across geography, age, and race and ethnicity highlights areas and populations that might benefit most from efficacious fall prevention interventions as well as additional prevention research. US National Institutes of Health (Intramural Research Program, National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; Intramural Research Program, National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Sciences Research).

Comparison of Relationships Between the Number of Deaths Due to the 10 Leading Causes and Air Temperature in Hokkaido and Okinawa, Japan.

Background Some literature reports an association between air temperature and mortality in certain diseases. However, the relationships between air temperature parameters and all causes of death have not been thoroughly explored in Japan. Objective This study examined the relationships between the number of deaths from the 10 leading causes and air temperature parameters in Hokkaido (the northernmost region) and Okinawa (the southernmost region) prefectures in Japan. Methods We collected monthly data on the number of deaths from the 10 leading causes and air temperature parameters in Hokkaido and Okinawa prefectures from January 2008 to December 2022 using information from official sources. Annual population data for each prefecture were also obtained. The relationships between the number of deaths and air temperature parameters were assessed through an ecological study. Results The mean air temperature was 9.59 ± 9.23 °C in Hokkaido and 23.46 ± 4.37 °C in Okinawa, with all temperature parameters significantly lower in Hokkaido than in Okinawa. The number of deaths from the 10 leading causes, excluding aspiration pneumonia, was significantly higher in Hokkaido for both sexes compared to Okinawa. In Hokkaido, deaths due to heart disease, cerebrovascular disease, pneumonia, accidents, and renal failure showed a significant correlation with all air temperature parameters for both sexes. In Okinawa, heart disease and cerebrovascular disease deaths were correlated with all air temperature parameters for both sexes. Conclusions The relationships between the number of deaths from the 10 leading causes and air temperature parameters differed between Hokkaido and Okinawa prefectures in Japan.

Analysis of the incidence of uterine fibroid in Yekaterinburg

Background. Uterine fibroid (UF) is a benign tumor of the myometrium and is considered as one of the criteria for the state of women’s reproductive health. Objective information about the incidence of UF in a modern megalopolis allows us to assess the level of health of the female population, characterize the availability and quality of medical care, and plan its development.Aim. To analyze the incidence and prevalence of UF according to the data of medical organizations in Yekaterinburg in 2016–2022.Materials and methods. An epidemiological study of the incidence and prevalence of the adult female population of the city of Yekaterinburg in 2016–2022 was conducted. For the analysis, we used Form No. 12 of the Federal Statistical Observation of Medical Organizations located in the city. The incidence rates were calculated for the average annual female population aged 18 years and over, expressed in 0/0000. Absolute growth (decrease), growth rate (decrease), growth rate (decrease), average growth rate (decrease) were studied. The long-term dynamics of the indicators was determined using the average growth rate.Results. The incidence of UF was 130.890/0000, and the prevalence was 735.800/0000 in 2016. During the pre-pandemic period, the indicators increased significantly in 2019 compared to the baseline year 2016 (р < 0.001). The incidence increased by 1.96 times, the prevalence – by 1.39 times. The indicators decreased to the level of 2016 during the pandemic of new coronavirus infection (2020–2022) (р >0.05).Conclusion. The obtained dynamics of incidence and prevalence of UF in the population of women in a modern megalopolis is considered as a criterion for the state of women’s health, accessibility and quality of preventive and planned medical care for gynecological patients. The results of the study are recommended for planning medical care for women and can form the basis for continuing epidemiological studies.

The heritability of fitness in a wild annual plant population with hierarchical size structure.

The relative magnitude of additive genetic vs. residual variation for fitness traits is important in models for predicting the rate of evolution and population persistence in response to changes in the environment. In many annual plants, lifetime reproductive fitness is correlated with end-of-season plant biomass, which can vary significantly from plant to plant in the same population. We measured end-of-season plant biomasses and obtained single nucleotide polymorphism (SNP) genotypes of plants in a dense, natural population of the annual plant species Impatiens capensis with hierarchical size structure. These data were used to estimate the amount of heritable variation for position in the size hierarchy and for plant biomass. Additive genetic variance for a position in the size hierarchy and plant biomass were both significantly different from zero. These results are discussed in relationship to the theory for the heritability of fitness in natural populations and ecological factors that potentially influence heritable variation for fitness in this species.

Regional Assessment of Groundwater Contamination Risk from Crude Oil Spillages in the Niger Delta: A Novel Application of the Source-Pathway-Receptor Model

AbstractOnshore oil spills are known for their disastrous environmental impacts and potential to cause lasting damage to underlying groundwater. The Niger Delta is particularly vulnerable to widespread spillages linked to extensive oil exploration, transportation, and theft-related incidents. This research employed a geospatial approach in formulating risk equations, based on the source-pathway-receptor (S-P-R) model using multiple openly available data sets, to assess groundwater contamination risk in the Niger Delta Region (NDR), Nigeria. To develop the overall risk equation, the study combined fourteen thematic data layers including the volume of oil spilled, type of spill, slope, elevation, proximity to spill site, pipeline, oil wells and streams, drainage density, mean annual precipitation and population density. These layers were integrated into source potency, pathway transmissivity, and receptor susceptibility. The NDR was systematically categorized into low, moderate, and high groundwater risk zones. The delineation revealed that high-risk zones predominantly span the central areas, extending from southeast to northwest, effectively encircled by regions of low to medium risk located in both the northern and southern extents of the delta. The efficacy of the risk model was corroborated by existing knowledge. Moderate to high-risk zones were found to be in about 16% of the NDR, revealing previously unknown areas of risk. This spatial configuration underscores a significant gradient in contamination risk across the NDR, with the central corridor emerging as a critical focus for groundwater protection and remediation efforts. In line with UN Sustainable Development Goal (SDG) #6, this study recommends targeted strategies to ensure clean water provision in these identified high-risk areas. By leveraging the S-P-R model within this complex and sensitive ecological area, this research both advances environmental risk assessment and sets a precedent for future large-scale environmental risk assessments utilizing open-source data.

The burden of cirrhosis mortality by county, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities

Cirrhosis is responsible for substantial health and economic burden in the USA. Reducing this burden requires better understanding of how rates of cirrhosis mortality vary by race and ethnicity and by geographical location. This study describes rates and trends in cirrhosis mortality for five racial and ethnic populations in 3110 US counties from 2000 to 2019. We estimated cirrhosis mortality rates by county, race and ethnicity, and year (2000-19) using previously validated small-area estimation methods, death registration data from the US National Vital Statistics System, and population data from the US National Center for Health Statistics. Five racial and ethnic populations were considered: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Cirrhosis mortality rate estimates were age-standardised using the age distribution from the 2010 US census as the standard. For each racial and ethnic population, estimates are presented for all counties with a mean annual population greater than 1000. From 2000 to 2019, national-level age-standardised cirrhosis mortality rates decreased in the Asian (23·8% [95% uncertainty interval 19·6-27·8], from 9·4 deaths per 100 000 population [8·9-9·9] to 7·1 per 100 000 [6·8-7·5]), Black (22·8% [20·6-24·8], from 19·8 per 100 000 [19·4-20·3] to 15·3 per 100 000 [15·0-15·6]), and Latino (15·3% [13·3-17·3], from 26·3 per 100 000 [25·6-27·0] to 22·3 per 100 000 [21·8-22·8]) populations and increased in the AIAN (39·3% [32·3-46·4], from 45·6 per 100 000 [40·6-50·6] to 63·5 per 100 000 [57·2-70·2] in 2000 and 2019, respectively) and White (25·8% [24·2-27·3], from 14·7 deaths per 100 000 [14·6-14·9] to 18·5 per 100 000 [18·4-18·7]) populations. In all years, cirrhosis mortality rates were lowest among the Asian population, highest among the AIAN population, and higher in males than females for each racial and ethnic population. The degree of heterogeneity in county-level cirrhosis mortality rates varied by racial and ethnic population, with the narrowest IQR in the Asian population (median 8·0 deaths per 100 000, IQR 6·4-10·4) and the widest in the AIAN population (55·1, 30·3-78·8). Cirrhosis mortality increased over the study period in almost all counties for the White (2957 [96·9%] of 3051 counties) and AIAN (421 [88·8%] of 474) populations, but in a smaller proportion of counties for the Asian, Black, and Latino populations. For all racial and ethnic populations, cirrhosis mortality rates increased in more counties between 2000 and 2015 than between 2015 and 2019. Cirrhosis mortality increased nationally and in many counties from 2000 to 2019. Although the magnitude of racial and ethnic disparities decreased in some places, disparities nonetheless persisted, and mortality remained high in many locations and communities. Our findings underscore the need to implement targeted and locally tailored programmes and policies to reduce the burden of cirrhosis at both the national and local level. US National Institutes of Health (Intramural Research Program, National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; Intramural Research Program, National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Sciences Research).

Incidence of Hospitalization due to Influenza-Associated Severe Acute Respiratory Infection During 2010-2019 in Bangladesh.

Global influenza-associated acute respiratory infections contribute to 3-5 million severe illnesses requiring hospitalization annually, with 90% of hospitalizations occurring among children < 5 years in developing countries. In Bangladesh, the inadequate availability of nationally representative, robust estimates of influenza-associated hospitalizations limits allocation of resources for prevention and control measures. This study used data from the hospital-based influenza surveillance (HBIS) system in Bangladesh from 2010 to 2019 and healthcare utilization surveys to determine hospital utilization patterns in the catchment area. We estimated annual influenza-associated hospitalization numbers and rates for all age groups in Bangladesh using WHO methods, adjusted for a 6-day-a-week enrollment schedule, selective testing of specimens from children under five, and healthcare-seeking behavior, based on the proportion of symptomatic community participants seeking healthcare within the past week. We then estimated national hospitalization rates by multiplying age-specific hospitalization rates with the corresponding annual national census population. Annual influenza-associated hospitalization rates per 100,000 population for all ages ranged from 31 (95% CI: 27-36) in 2011 to 139 (95% CI: 130-149) in 2019. Children < 5 years old had the highest rates of influenza-associated hospitalization, ranging from 114 (95% CI: 90-138) in 2011 to 529 (95% CI: 481-578) in 2019, followed by adults aged ≥ 65 years with rates ranging from 46 (95% CI: 34-57) in 2012 to 252 (95% CI: 213-292) in 2019. The national hospitalization estimates for all ages during 2010-2019 ranged from 47,891 to 236,380 per year. The impact of influenza-associated hospitalizations in Bangladesh may be considerable, particularly for young children and older adults. Targeted interventions, such as influenza vaccination for these age groups, should be prioritized and evaluated.

Performance of protected areas in conserving African elephants

AbstractProtected areas have been gazetted to protect natural resources and biodiversity, but evaluations of effectiveness rarely include measures of species population change. We compiled annual site‐level spending and elephant population data for 102 protected areas conserving either savannah (Loxodonta africana) or forest (Loxodonta cyclotis) elephants, which showed a median annual population decline of −0.78% across the protected areas. Site‐level population change was strongly associated with funding and government effectiveness. Annual funding deficits occurred in 78% of the protected areas, and when comparing necessary levels of annual spend to stabilize elephant populations, we estimate a US$1.5 billion annual funding deficit across all the protected areas. While financial investment can improve elephant conservation outcomes, there is still a need to identify where and how to best finance elephant poaching interventions, requiring a global commitment to improve the socioeconomic impacts of protected areas on local communities and reduce ivory demand.

Analysis of the population viability of Rhea pennata in Peru

In this work, a population viability analysis (PVA) is conducted on the population of Rhea pennata, a bird categorized as Critically Endangered (CR), with an estimated population size of 350 individuals in Peru. The data were analyzed using VORTEX 9.6 software, and eight scenarios and combinations were modeled to determine the annual population growth rate under the influence of anthropogenic, demographic, environmental, and genetic factors. The results indicate that the Rhea pennata population is not viable, with a negative population growth rate (r= −0.11), meaning the population decreases by 11% per year. A combined effect of anthropogenic factors, such as egg collection, genetic factors like inbreeding, and environmental factors such as intense snowfalls, further reduces the growth rate (r= −0.18). In this scenario, the probability of extinction occurs in approximately 50 years. The effect of inbreeding in an adult population of 50 individuals in a fragmented habitat would lead to extinction in approximately 25 to 30 years. The only scenario where the population is viable in the long term involves repopulation, requiring the release of 38 population groups over a period of 15 years in an area of approximately 27000 km2, which must be under some conservation measure, such as protected natural areas or other area-based conservation measures.

General trends in the demographic situation in the Republic of Kazakhstan: gender aspect

According to the operational data of the Bureau of national statistics of the agency of the Republic of Kazakhstan for Strategic Planning and reforms as of November 14, 2023, the population of Kazakhstan was 20,000,000 people. Despite the fact that in recent years there has been an increase in this indicator, it is impossible to neglect the presence of certain demographic problems in the country. Kazakhstan ranks 61st among 242 countries in the world population ranking. In turn, given the fact that the population density in the country is 7.3 people per 1 km2, experts say that in order to reach correspondence between the number of population and the size of the territory, it is necessary that this indicator is increased by no less than two times. Taking into account the fact that the average annual population growth in the Republic of Kazakhstan is 1.2–1.3%, it will take more than 70 years for the population to double. The main indicators that affect the demographic situation in the country include the population, its composition, birth and death rates, marriage and divorce rates, and migration conditions. In this regard, we consider it important to thoroughly study these indicators and, on the basis of this, take measures aimed at optimizing the demographic situation in the country. The purpose of the article is to develop suggestions for increasing the population of the country based on an in – depth analysis of the demographic situation of the Republic of Kazakhstan, including the gender aspect.

Genetic, environmental, and phenotypic trends in a registered brahman herd

This study aimed to estimate the genetic, environmental, and phenotypic trends for 18-month weight (P540) in Brahman cattle. The research was conducted using 3,558 electronic records from the "La Cumaca" experimental station, part of the Faculty of Veterinary Sciences at the Central University of Venezuela. Genetic trends were estimated using three methods: a) by doubling the difference between the regression slopes estimated with the annual population means and the within-sire slope for the trait over years; b) using weighted regression analysis with the annual means derived from models adjusted with half-sibling or full-sibling groupings; and c) simple animal model. The models included the effects of sex, year and month of weight recording, and the effectsof the sire and dam, with variations involving the exclusion of ancestors to obtain trend estimates through differences in regression slopes. The genetic trend according to the first method was 1.2614 kg/year. Using half-sibling groups, the estimate was 3.0308 kg/year, while using full-sibling groups, the genetic change was 2.5332 kg/year. All three methods overestimated the annual genetic change, which was 0.829 kg/year using the animal model. The changes in reference to the population mean for the trait were less than 1%. Consequently, a revision of the selection procedure is suggested.

A study on regional distribution and changes in the Korean dentist workforce

Purpose: Despite previous research showing that there is an excess of dentists in Korea, there are demands to increase the number of dentists, with some local governments requesting the establishment of dental colleges and dental hospitals. Therefore, this study aims to propose long-term policy directions regarding the supply and demand of dentists in Korea by analyzing the distribution of dentists relative to the population and the current status of dentists by region.Methods: This study used public data. WHO's key indicator, active dentists per 100,000 population, was calculated by year, and differences in active dentists by region were analyzed using ANOVA.Results: From 2012 to 2022, the average annual rate of the number of active dentists per 100,000 people was 2.39%, which was higher than the average annual population growth rate(0.10%)(Table 1). The regional averages were ‘gu’ 66.52±55.78, ‘si’ 38.50±10.87, and ‘gun’ 29.91±7.35, showing a significant difference (p&lt;0.0001), confirming the existence of a gap.Conclusions: The supply and demand of health care professionals is the most important factor for the stable operation of the health care system. To resolve regional differences, it is desirable to utilize existing dentists rather than creating new dentists.

Analysis of Landscape Pattern Evolution and Impact Factors in the Mainstream Basin of the Tarim River from 1980 to 2020

The mainstream basin of the Tarim River serves as a vital ecological security barrier that prevents the merging and expansion of deserts and an important strategic corridor directly linking Qinghai and Xinjiang. With society’s development and climate change, ecological issues such as river interruption, vegetation degradation, and land desertification in the basin have notably intensified, and the ecological security is facing a critical test. Exploring the characteristics of landscape changes and their driving factors within the basin is crucial in improving the ecological environment system’s management. Based on land use data from 1980 to 2020, this study analyzed the characteristics of the spatiotemporal changes and pattern evolution of the landscape through a landscape transfer matrix and landscape pattern indices. It further revealed the impact factors of the landscape pattern through canonical correspondence analysis. The results showed that (1) in 1980–2020, the areas of desert, forest, farmland, and settlement landscapes increased, while the area of grassland landscape decreased, and the water landscape showed an “increasing–decreasing–recovery” pattern. The landscape transition types mainly included the transition from grassland to desert; mutual transitions among farmland, grassland, and forests; mutual transitions between water and grassland; and the transition from farmland to settlements. (2) The overall landscape pattern demonstrated increased fragmentation, shape complexity, and evenness with decreased aggregation. Furthermore, different landscapes exhibited distinct characteristics of landscape pattern changes; for instance, grassland landscape showed severe fragmentation, while desert landscape displayed the strongest dominance. (3) The landscape pattern was a result of the combined impact of natural and human factors, with the soil thickness (SOT), road density (ROD), annual actual evapotranspiration (AAE), population density (POD), and mean annual temperature (MAT) exhibiting significant influences. Specifically, the settlement and farmland landscapes were mainly influenced by the mean annual relative humidity (MAH), POD, GDP density (GDP), and distance to artificial water (DAW); the forest, grassland, and water landscapes were mainly influenced by the SOT, soil organic matter content (SOM), AAE, ROD, elevation (ELE), MAT, slope (SLP), and distance to natural water (DNW); and the desert landscape was mainly influenced by the DAW, DNW, SLP, AAE, SOT, SOM, and ROD. These findings can provide a scientific reference for landscape management and restoration, as well as sustainable social and economic development, in the mainstream basin of the Tarim River.

Population and spatial dynamics of desert bighorn sheep in Grand Canyon during an outbreak of respiratory pneumonia

IntroductionTerrestrial species in riverine ecosystems face unique constraints leading to diverging patterns of population structure, connectivity, and disease dynamics. Desert bighorn sheep (Ovis canadensis nelsoni) in Grand Canyon National Park, a large native population in the southwestern USA, offer a unique opportunity to evaluate population patterns and processes in a remote riverine system with ongoing anthropogenic impacts. We integrated non-invasive, invasive, and citizen-science methods to address questions on abundance, distribution, disease status, genetic structure, and habitat fragmentation.MethodsWe compiled bighorn sightings collected during river trips by park staff, commercial guides, and private citizens from 2000–2018 and captured bighorn in 2010–2016 to deploy GPS collars and test for disease. From 2011–2015, we non-invasively collected fecal samples and genotyped them at 9–16 microsatellite loci for individual identification and genetic structure. We used assignment tests to evaluate genetic structure and identify subpopulations, then estimated gene flow and recent migration to evaluate fragmentation. We used spatial capture-recapture to estimate annual population size, distribution, and trends after accounting for spatial variation in detection with a resource selection function model.Results and discussionFrom 2010–2018, 3,176 sightings of bighorn were reported, with sightings of 56–145 bighorn annually on formal surveys. From 2012–2016, bighorn exhibiting signs of respiratory disease were observed along the river throughout the park. Of 25 captured individuals, 56% were infected by Mycoplasma ovipneumoniae, a key respiratory pathogen, and 81% were recently exposed. Pellet sampling for population estimation from 2011–2015 yielded 1,250 genotypes and 453 individuals. We detected 6 genetic clusters that exhibited mild to moderate genetic structure (FST 0.022–0.126). The river, distance, and likely topography restricted recent gene flow, but we detected cross-river movements in one section via genetic recaptures, no subpopulation appeared completely isolated, and genetic diversity was among the highest reported. Recolonization of one large stretch of currently empty habitat appears limited by the constrained topology of this system. Annual population estimates ranged 536–552 (95% CrI range 451–647), lamb:ewe ratios varied, and no significant population decline was detected. We provide a multi-method sampling framework useful for sampling other wildlife in remote riverine systems.

Trends in admission rates of primary angle closure diseases for the urban population in China, 2011-2021.

Cataract surgery and laser peripheral iridotomy (LPI) are effective approaches for preventing primary angle closure diseases (PACDs), as well as acute primary angle closure (APAC). Due to the development of population screening and increases in cataract surgery rates, this study aimed to examine trends in the admission rates of PACD among the urban population in China. This cross-sectional study examined patients who were admitted to a hospital for PACD, and who underwent cataract surgery or LPI operations. The data were obtained from the Yinzhou Regional Health Information Platform (YRHIP) from 2011 to 2021. The annual rates of PACD and APAC admissions, cataract surgery and LPI were analyzed, with the number of cases used as numerators and the annual resident population in Yinzhou district used as denominators. A total of 2,979 patients with PACD admissions, 1,023 patients with APAC admissions, 53,635 patients who underwent cataract surgery and 16,450 patients who underwent LPI were included. The number of annual admissions for PACD gradually increased from 22 cases (1.6/100000) in 2011 to 387 cases (30.8/100000) in 2016, after which it decreased to 232 cases (16.2/100000) in 2019 and then increased to 505 cases (30.6/100000) in 2021. The number of cataract surgeries gradually increased from 1728 (127.7/100000) in 2011 to 7002 (424.9/100000) in 2021. Similarly, the number of LPI gradually increased from 109 (8.0/100000) in 2011 to 3704 (224.8/100000) in 2021. The admission rates of PACD for the urban population in China have declined in recent years after a long increasing trend in the rates of cataract surgery and LPI. However, it increased rapidly during the COVID-19 epidemic. The national health database should be further utilized to investigate temporal trends in the prevalence of PACD.

Study of Temporal Dynamics of Urban Heat Island Surface in Padang West Sumatra, Indonesia

Padang as the capital of the province, is a strategic area and also the center of the economy. Annual population growth affects changes in land use from vegetated land to built-up areas. An increase in barren land will trigger an increase in temperature. SUHI is a temperature phenomenon that occurs on the surface resulting from the increase in temperature. SUHI can be observed through surface temperature data or Land Surface Temperature. This study aims to identify changes in land surface temperature that are affected by changes in land use in the form of building density conditions. In analyzing this using Landsat 7 ETM+ imagery in 2001, 2006, 2011, 2016, and 2020. The building density measurement method LST transformations to measure surface temperature and helps the Surface Urban Heat Island phenomenon. The results of the analysis showed that there was an increase in the building density of the city of Padang over a period of 20 years. This phenomenon affects the surface temperature, indicating that the surface temperature has increased by around 0.47°C. The highest temperature from 2001-2020 occurred in 2016, with the highest temperature of 36°C.