scholarly journals Spatiotemporal Patterns of Tuberculosis in Hunan Province, China

2021 ◽  
Vol 18 (13) ◽  
pp. 6778
Author(s):  
Kefyalew Addis Alene ◽  
Zuhui Xu ◽  
Liqiong Bai ◽  
Hengzhong Yi ◽  
Yunhong Tan ◽  
...  
Keyword(s):  
Contraceptive Use ◽  
Spatial Clustering ◽  
Bacterial Pathogen ◽  
Hunan Province ◽  
Transmission Risk ◽  
Environmental Drivers ◽  
County Level ◽  
Successful Treatment Outcome ◽  
Wide Range ◽  
Notification Data

Tuberculosis (TB) is the leading cause of death from a bacterial pathogen worldwide. China has the third highest TB burden in the world, with a high reported burden in Hunan Province (amongst others). This study aimed to investigate the spatial distribution of TB and identify socioeconomic, demographic, and environmental drivers in Hunan Province, China. Numbers of reported cases of TB were obtained from the Tuberculosis Control Institute of Hunan Province, China. A wide range of covariates were collected from different sources, including from the Worldclim database, and the Hunan Bureau of Statistics. These variables were summarized at the county level and linked with TB notification data. Spatial clustering of TB was explored using Moran’s I statistic and the Getis–Ord statistic. Poisson regression models were developed with a conditional autoregressive (CAR) prior structure, and with posterior parameters estimated using a Bayesian approach with Markov chain Monte Carlo (MCMC) simulation. A total of 323,340 TB cases were reported to the Hunan TB Control Institute from 2013 to 2018. The mean age of patients was 51.7 years (SD + 17.6 years). The majority of the patients were male (72.6%, n = 234,682) and had pulmonary TB (97.5%, n = 315,350). Of 319,825 TB patients with registered treatment outcomes, 306,107 (95.7%) patients had a successful treatment outcome. The annual incidence of TB decreased over time from 85.5 per 100,000 population in 2013 to 76.9 per 100,000 population in 2018. TB case numbers have shown seasonal variation, with the highest number of cases reported during the end of spring and the beginning of summer. Spatial clustering of TB incidence was observed at the county level, with hotspot areas detected in the west part of Hunan Province. The spatial clustering of TB incidence was significantly associated with low sunshine exposure (RR: 0.86; 95% CrI: 0.74, 0.96) and a low prevalence of contraceptive use (RR: 0.88; 95% CrI: 0.79, 0.98). Substantial spatial clustering and seasonality of TB incidence were observed in Hunan Province, with spatial patterns associated with environmental and health care factors. This research suggests that interventions could be more efficiently targeted at locations and times of the year with the highest transmission risk.

A Spatiotemporal Analysis of Schistosomiasis in Hunan Province, China

2018 ◽  
Vol 30 (6) ◽  
pp. 521-531
Author(s):  
Enru Wang ◽  
Zhengyuan Zhao ◽  
Changhong Miao ◽  
Zhongcai Wu
Keyword(s):  
Schistosoma Japonicum ◽  
Hot Spots ◽  
Spatial Clustering ◽  
Control Strategies ◽  
Spatiotemporal Analysis ◽  
Hunan Province ◽  
Transmission Risk ◽  
Schistosomiasis Japonica ◽  
Health Studies ◽  
Risk Areas

Based on annual parasitological data recently collected at county and village levels, this article presents a multiscale spatiotemporal analysis of transmission risk of schistosomiasis japonica in Hunan Province during 2001 to 2015 in a geographic information system environment. The study shows that the incidence and prevalence rate of human Schistosoma japonicum infection in Hunan Province decreased after 2001. A spatial autocorrelation analysis reveals the existence of spatial clusters of human Schistosoma japonicum infection and a growing tendency of spatial clustering over time. The identification of high-risk areas (hot spots) helps find areas of priority for future implementation of control strategies. The research demonstrates the importance of spatial scale in public health studies.

scholarly journals Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e043685
Author(s):  
Kefyalew Addis Alene ◽  
Zuhui Xu ◽  
Liqiong Bai ◽  
Hengzhong Yi ◽  
Yunhong Tan ◽  
...  
Keyword(s):  
Treatment Outcomes ◽  
Cumulative Incidence ◽  
Ecological Study ◽  
Spatial Clustering ◽  
Hunan Province ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
The North ◽  
Resistant Tuberculosis ◽  
Over Time

ObjectiveThis study aimed to investigate the spatial distribution of drug-resistant tuberculosis (DR-TB) in Hunan province, China.MethodsAn ecological study was conducted using DR-TB data collected from the Tuberculosis Control Institute of Hunan Province between 2012 and 2018. Spatial clustering of DR-TB was explored using the Getis-Ord statistic. A Poisson regression model was fitted with a conditional autoregressive prior structure, and with posterior parameters estimated using a Bayesian Markov chain Monte Carlo simulation, to quantify associations with possible risk factors and identify clusters of high DR-TB risk.ResultsA total of 2649 DR-TB patients were reported to Hunan TB Control Institute between 2012 and 2018. The majority of the patients were male (74.8%, n=1983) and had a history of TB treatment (88.53%, n=2345). The proportion of extensively DR-TB among all DR-TB was 3.3% (95% CI 2.7% to 4.1%), which increased from 2.8% in 2012 to 4.4% in 2018. Of 1287 DR-TB patients with registered treatment outcomes, 434 (33.8%) were cured, 198 (15.3%) completed treatment, 92 (7.1%) died, 108 (8.3%) had treatment failure and 455 (35.3%) were lost to follow-up. Half (50.9%, n=655) had poor treatment outcomes. The annual cumulative incidence rate of notified DR-TB increased over time from 0.25 per 100 000 people in 2012 to 0.83 per 100 000 people in 2018. Substantial spatial heterogeneity was observed, and hotspots were detected in counties located in the North and East parts of Hunan province. The cumulative incidence of notified DR-TB was significantly associated with urban communities.ConclusionThe annual incidence of notified DR-TB increased over time in Hunan province. Spatial clustering of DR-TB was detected and significantly associated with urbanisation. This finding suggests that targeting interventions to the highest risk areas and population groups would be effective in reducing the burden and ongoing transmission of DR-TB.

scholarly journals Environmental Drivers and Age Trends in Site Productivity for Oak in Southern Poland

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 209
Author(s):  
Luiza Tymińska-Czabańska ◽  
Jarosław Socha ◽  
Marek Maj ◽  
Dominika Cywicka ◽  
Xo Viet Hoang Duong
Keyword(s):  
Nitrogen Deposition ◽  
Management Practices ◽  
Additive Model ◽  
Climatic Conditions ◽  
Environmental Indicators ◽  
Environmental Drivers ◽  
Site Productivity ◽  
Site Factors ◽  
Wide Range ◽  
Si Model

Site productivity provides critical information for forest management practices and is a fundamental measure in forestry. It is determined using site index (SI) models, which are developed using two primary groups of methods, namely, phytocentric (plant-based) or geocentric (earth-based). Geocentric methods allow for direct site growth modelling, in which the SI is predicted using multiple environmental indicators. However, changes in non-static site factors—particularly nitrogen deposition and rising CO2 concentration—lead to an increase in site productivity, which may be visible as an age trend in the SI. In this study, we developed a geocentric SI model for oak. For the development of the SI model, we used data from 150 sample plots, representing a wide range of local topographic and site conditions. A generalized additive model was used to model site productivity. We found that the oak SI depended predominantly on physicochemical soil properties—mainly nitrogen, carbon, sand, and clay content. Additionally, the oak SI value was found to be slightly shaped by the topography, especially by altitude above sea level, and topographic position. We also detected a significant relationship between the SI and the age of oak stands, indicating the long-term increasing site productivity for oak, most likely caused by nitrogen deposition and changes in climatic conditions. The developed geocentric site productivity model for oak explained 77.2% of the SI variation.

scholarly journals Exploring the Association Between the “Big Five” Personality Traits and Fatal Opioid Overdose: County-Level Empirical Analysis (Preprint)

2020 ◽  
Author(s):  
Zhasmina Tacheva ◽  
Anton Ivanov
Keyword(s):  
United States ◽  
Big Five ◽  
Psychological Factors ◽  
The United States ◽  
Community Level ◽  
Opioid Overdose ◽  
County Level ◽  
Psychological Traits ◽  
Wide Range ◽  
The Relationship

BACKGROUND Opioid-related deaths constitute a problem of pandemic proportions in the United States, with no clear solution in sight. Although addressing addiction—the heart of this problem—ought to remain a priority for health practitioners, examining the community-level psychological factors with a known impact on health behaviors may provide valuable insights for attenuating this health crisis by curbing risky behaviors before they evolve into addiction. OBJECTIVE The goal of this study is twofold: to demonstrate the relationship between community-level psychological traits and fatal opioid overdose both theoretically and empirically, and to provide a blueprint for using social media data to glean these psychological factors in a real-time, reliable, and scalable manner. METHODS We collected annual panel data from Twitter for 2891 counties in the United States between 2014-2016 and used a novel data mining technique to obtain average county-level “Big Five” psychological trait scores. We then performed interval regression, using a control function to alleviate omitted variable bias, to empirically test the relationship between county-level psychological traits and the prevalence of fatal opioid overdoses in each county. RESULTS After controlling for a wide range of community-level biopsychosocial factors related to health outcomes, we found that three of the operationalizations of the five psychological traits examined at the community level in the study were significantly associated with fatal opioid overdoses: extraversion (β=.308, <i>P</i>&lt;.001), neuroticism (β=.248, <i>P</i>&lt;.001), and conscientiousness (β=.229, <i>P</i>&lt;.001). CONCLUSIONS Analyzing the psychological characteristics of a community can be a valuable tool in the local, state, and national fight against the opioid pandemic. Health providers and community health organizations can benefit from this research by evaluating the psychological profile of the communities they serve and assessing the projected risk of fatal opioid overdose based on the relationships our study predict when making decisions for the allocation of overdose-reversal medication and other vital resources.

scholarly journals Carbon Based Nanodots in Early Diagnosis of Cancer

2021 ◽  
Vol 9 ◽  
Author(s):  
Gurpal Singh ◽  
Harinder Kaur ◽  
Akanksha Sharma ◽  
Joga Singh ◽  
Hema Kumari Alajangi ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Early Stage ◽  
Imaging Techniques ◽  
Graphene Quantum Dots ◽  
Carbon Quantum Dots ◽  
Diagnostic Methods ◽  
Early Diagnosis Of Cancer ◽  
Successful Treatment Outcome ◽  
Wide Range ◽  
Carbon Based

Detection of cancer at an early stage is one of the principal factors associated with successful treatment outcome. However, current diagnostic methods are not capable of making sensitive and robust cancer diagnosis. Nanotechnology based products exhibit unique physical, optical and electrical properties that can be useful in diagnosis. These nanotech-enabled diagnostic representatives have proved to be generally more capable and consistent; as they selectively accumulated in the tumor site due to their miniscule size. This article rotates around the conventional imaging techniques, the use of carbon based nanodots viz Carbon Quantum Dots (CQDs), Graphene Quantum Dots (GQDs), Nanodiamonds, Fullerene, and Carbon Nanotubes that have been synthesized in recent years, along with the discovery of a wide range of biomarkers to identify cancer at early stage. Early detection of cancer using nanoconstructs is anticipated to be a distinct reality in the coming years.

scholarly journals Endopeptidase PepO Regulates the SpeB Cysteine Protease and Is Essential for the Virulence of Invasive M1T1Streptococcus pyogenes

2018 ◽  
Vol 200 (8) ◽  
Author(s):  
Stephan Brouwer ◽  
Amanda J. Cork ◽  
Cheryl-Lynn Y. Ong ◽  
Timothy C. Barnett ◽  
Nicholas P. West ◽  
...  
Keyword(s):  
Gene Expression ◽  
Growth Phase ◽  
Cysteine Protease ◽  
Genetic Regulation ◽  
Bacterial Pathogen ◽  
Targeted Mutagenesis ◽  
Human Neutrophils ◽  
Content Type ◽  
Wide Range ◽  
Human Infections

ABSTRACTStreptococcus pyogenes(group AStreptococcus[GAS]) causes a wide range of human infections. The pathogenesis of GAS infections is dependent on the temporal expression of numerous secreted and surface-associated virulence factors that interact with host proteins. Streptococcal pyrogenic exotoxin B (SpeB) is one of the most extensively studied toxins produced by GAS, and the coordinate growth phase-dependent regulation ofspeBexpression is linked to disease severity phenotypes. Here, we identified the endopeptidase PepO as a novel growth phase-dependent regulator of SpeB in the invasive GAS M1 serotype strain 5448. By using transcriptomics followed by quantitative reverse transcriptase PCR and Western blot analyses, we demonstrate through targeted mutagenesis that PepO influences growth phase-dependent induction ofspeBgene expression. Compared to wild-type and complemented mutant strains, we demonstrate that the 5448ΔpepOmutant strain is more susceptible to killing by human neutrophils and is attenuated in virulence in a murine model of invasive GAS infection. Our results expand the complex regulatory network that is operating in GAS to control SpeB production and suggest that PepO is a virulence requirement during GAS M1T1 strain 5448 infections.IMPORTANCEDespite the continuing susceptibility ofS. pyogenesto penicillin, this bacterial pathogen remains a leading infectious cause of global morbidity and mortality. A particular subclone of the M1 serotype (M1T1) has persisted globally for decades as the most frequently isolated serotype from patients with invasive and noninvasive diseases in Western countries. One of the key GAS pathogenicity factors is the potent broad-spectrum cysteine protease SpeB. Although there has been extensive research interest on the regulatory mechanisms that controlspeBgene expression, its genetic regulation is not fully understood. Here, we identify the endopeptidase PepO as a new regulator ofspeBgene expression in the globally disseminated M1T1 clone and as being essential for virulence.

Contraception Options in Neurologic Disease

2018 ◽  
Author(s):  
Tessa L. Reisinger ◽  
Amy Robinson Harrington
Keyword(s):  
Chronic Disease ◽  
Contraceptive Use ◽  
Unplanned Pregnancy ◽  
Treatment Options ◽  
Hormonal Contraception ◽  
Neurologic Disease ◽  
Eligibility Criteria ◽  
Increased Risk ◽  
Wide Range ◽  
The Impact

Unplanned pregnancy has particular implications for women with chronic disease, including increased risk of adverse health events during pregnancy and potential impact on disease course or treatment options. While preventing unplanned pregnancy is especially important in this population, both medications and sequelae of chronic disease must be considered in choosing safe and effective contraceptive options. The US Medical Eligibility Criteria for Contraceptive Use were established to provide guidance on contraceptive use for women with various disease conditions; however, specific guidelines for many neurologic conditions are limited. This chapter reviews evidence and recommendations for contraception options in women with a wide range of neurologic conditions. Considerations include interactions with medications, the risk of venous thromboembolism in the setting of reduced mobility, and the impact of hormonal contraception on symptom frequency and disease progression. In many cases, long-acting reversible contraception (LARC) methods offer highly effective, well-tolerated contraception for women with neurologic disease.

scholarly journals Sulfoxaflor and Natural Pyrethrin with Piperonyl Butoxide Are Effective Alternatives to Neonicotinoids against Juveniles of Philaenus spumarius, the European Vector of Xylella fastidiosa

Insects ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 225 ◽  
Author(s):  
Beatriz Dáder ◽  
Elisa Viñuela ◽  
Aránzazu Moreno ◽  
María Plaza ◽  
Elisa Garzo ◽  
...  
Keyword(s):  
Cover Crops ◽  
Xylella Fastidiosa ◽  
Bacterial Pathogen ◽  
Fold Increase ◽  
Similar Efficacy ◽  
Piperonyl Butoxide ◽  
Disease Spread ◽  
Management Tools ◽  
Philaenus Spumarius ◽  
Wide Range

The threat imposed by the bacterial pathogen Xylella fastidiosa to crops of utter importance to European agriculture such as olive, stone fruit and grapevine calls for immediate research against the meadow spittlebug, Philaenus spumarius (L.), the main European vector. Management tools should consider reducing juveniles of vector populations growing on weeds or cover crops during spring as nymphs have limited movement and do not contribute to disease spread. We examined a wide range of insecticides with different modes of action against P. spumarius nymphs in laboratory and semi-field glasshouse conditions. Pyrethroids (delthamethrin and λ-cyhalothrin) and natural pyrethrin (Pirecris®) + piperonyl butoxide (PBO) efficacy surpassed 86% after 24 h of exposure, without significant differences in the PBO amount tested. The inclusion of PBO caused a 3-fold increase in the mortality of P. spumarius nymphs compared to pyrethrin alone. Sulfoxaflor (Closer®) exhibited similar efficacy at 48 and 72 h but it was slow acting and mortality only reached 60% at 24 h. The LC90 was 34 ppm at 72 h. Pymetrozine, spirotetramat, azadirachtin and kaolin were not effective against nymphs (mortality <33%) although in azadirachtin-treated plants, mortality had a 3-fold increase from 24 to 72 h. Our results will help decision-making policy bodies to set up a sustainable integrated pest management of P. spumarius in areas where X. fastidiosa becomes a problem.

scholarly journals Investigating persistent measles dynamics in Niger and associations with rainfall

2020 ◽  
Vol 17 (169) ◽  
pp. 20200480
Author(s):  
Alexandre Blake ◽  
Ali Djibo ◽  
Ousmane Guindo ◽  
Nita Bharti
Keyword(s):  
Spatial Clustering ◽  
Vaccine Coverage ◽  
Sub Saharan Africa ◽  
Environmental Drivers ◽  
Transmission Mechanisms ◽  
Immunization Strategies ◽  
Annual Periodicity ◽  
Sub Saharan ◽  
Low Coverage ◽  
Over Time

Measles is a major cause of child mortality in sub-Saharan Africa. Current immunization strategies achieve low coverage in areas where transmission drivers differ substantially from those in high-income countries. A better understanding of measles transmission in areas with measles persistence will increase vaccination coverage and reduce ongoing transmission. We analysed weekly reported measles cases at the district level in Niger from 1995 to 2004 to identify underlying transmission mechanisms. We identified dominant periodicities and the associated spatial clustering patterns. We also investigated associations between reported measles cases and environmental drivers associated with human activities, particularly rainfall. The annual and 2–3-year periodicities dominated the reporting data spectrum. The annual periodicity was strong with contiguous spatial clustering, consistent with the latitudinal gradient of population density, and stable over time. The 2–3-year periodicities were weaker, unstable over time and had spatially fragmented clustering. The rainy season was associated with a lower risk of measles case reporting. The annual periodicity likely reflects seasonal agricultural labour migration, whereas the 2–3-year periodicity potentially results from multiple mechanisms such as reintroductions and vaccine coverage heterogeneity. Our findings suggest that improving vaccine coverage in seasonally mobile populations could reduce strong measles seasonality in Niger and across similar settings.

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