Global One Health index for zoonoses: A performance assessment in 160 countries and territories.

The One Health (OH) approach is used to control/prevent zoonotic events. However, there is a lack of tools for systematically assessing OH practices. Here, we applied the Global OH Index (GOHI) to evaluate the global OH performance for zoonoses (GOHI-Zoonoses). The fuzzy analytic hierarchy process algorithm and fuzzy comparison matrix were used to calculate the weights and scores of five key indicators, 16 subindicators, and 31 datasets for 160 countries and territories worldwide. The distribution of GOHI-Zoonoses scores varies significantly across countries and regions, reflecting the strengths and weaknesses in controlling or responding to zoonotic threats. Correlation analyses revealed that the GOHI-Zoonoses score was associated with economic, sociodemographic, environmental, climatic, and zoological factors. Additionally, the Human Development Index had a positive effect on the score. This study provides an evidence-based reference and guidance for global, regional, and country-level efforts to optimize the health of people, animals, and the environment.

Prevalence and influencing factors of PTSD symptoms among healthcare workers: A multicenter cross-sectional study during the surge period of the COVID-19 pandemic since December 2022 in the Chinese mainland.

BACKGROUND: China has experienced a surge period of COVID-19 pandemic since December 2022. Healthcare workers (HCWs) were exposed to huge workload under high risk of being infected, and significant levels of trauma, which might cause Post-traumatic Stress Disorders (PTSD) symptoms in HCWs. OBJECTIVES: To identify the prevalence of PTSD symptoms among HCWs in the Chinese mainland during the surge period of the COVID-19 pandemic; to explore their psycho-social factors of PTSD symptoms. METHODS: A multicenter cross-sectional study was conducted among HCWs in Chinese mainland from January 5 to February 9, 2023, covering seven geographical regions. 6552 participants were recruited by convenience sampling. Data were collected on demographic characteristics, work-related factors, and psychological factors by online questionnaires. Univariate analysis and binary logistic regression were used to determine the influencing factors of PTSD symptoms. RESULTS: The prevalence of PTSD symptoms among HCWs was 37.49 %. A higher level of mindfulness, resilience, and perceived social support were protective factors. Female gender, nurses, higher educational attainment, married status, more working years, higher perceived risk of contracting COVID-19 due to work, and higher perceived work intensity were risk factors. CONCLUSION: High prevalence of PTSD symptoms among HCWs necessitates psychological interventions. Tailored interventions, designed by professional psychiatrists, should be tailored to address the stressors. A comprehensive approach, incorporating mindfulness, resilience-building, and perceived social support enhancement, is vital to bolster the mental well-being of HCWs exposed to traumatic events, thus mitigating the impact of PTSD effectively. Additionally, it is essential to provide support to HCWs with other potential risk factors.

Assessment of optic disc morphological characteristics and related factors of highly myopic eyes in Chinese school-aged children.

CLINICAL RELEVANCE: The morphological characteristics of the optic nerve head (ONH) in myopic eyes are a clinically significant issue, especially for high myopia in school-aged children, and this can be monitored using optical coherence tomography. BACKGROUND: The purpose of this study is to investigate the morphological characteristics of ONH, and the factors associated with peripapillary choroidal thickness in Chinese school-aged high myopia children. METHODS: A total of 48 patients, possessing 48 high myopia eyes and 48 contralateral low myopia eyes were enrolled. The ONH characteristic parameters, including peripapillary retinal nerve fibre layer thickness, peripapillary choroidal thickness, peripapillary choroidal blood flow density, Bruch's membrane opening (BMO) characteristic parameters were measured on optical coherence tomography scans. RESULTS: Eyes with high myopia had a larger disc size, higher peripapillary atrophy area proportion, larger peripapillary atrophy area, larger BMO minimum rim width, lower peripapillary choroidal thickness compared with those contralateral low myopia eyes (all P < 0.001). The BMO distance and border length were longer, and border tissue angle was smaller in the high myopia eyes. The multivariate regression analysis revealed that border length, axial length, and border tissue angle were independently associated with peripapillary choroidal thickness (all P < 0.05); axial length was associated with peripapillary retinal nerve fibre layer thickness (P = 0.007). CONCLUSION: The peripapillary atrophy area, BMO area, border length, BMO distance, and BMO minimum rim width increased, but peripapillary choroidal thickness, retinal nerve fibre layer thickness decreased with axial elongation of the globe in young myopia children. Longer axial length and border length were positively correlated with lower peripapillary choroidal thickness, and a smaller border tissue angle was positively correlated with lower peripapillary choroidal thickness were found in this study. Monitoring of border length and border tissue angle is essential in the early stages of myopia in children.

Assessment of integrated patterns of human-animal-environment health: a holistic and stratified analysis.

BACKGROUND: Data-driven research is a very important component of One Health. As the core part of the global One Health index (GOHI), the global One Health Intrinsic Drivers index (IDI) is a framework for evaluating the baseline conditions of human-animal-environment health. This study aims to assess the global performance in terms of GOH-IDI, compare it across different World Bank regions, and analyze the relationships between GOH-IDI and national economic levels. METHODS: The raw data among 146 countries were collected from authoritative databases and official reports in November 2021. Descriptive statistical analysis, data visualization and manipulation, Shapiro normality test and ridge maps were used to evaluate and identify the spatial and classificatory distribution of GOH-IDI. This paper uses the World Bank regional classification and the World Bank income groups to analyse the relationship between GOH-IDI and regional economic levels, and completes the case studies of representative countries. RESULTS: The performance of One Health Intrinsic Driver in 146 countries was evaluated. The mean (standard deviation, SD) score of GOH-IDI is 54.05 (4.95). The values (mean SD) of different regions are North America (60.44, 2.36), Europe and Central Asia (57.73, 3.29), Middle East and North Africa (57.02, 2.56), East Asia and Pacific (53.87, 5.22), Latin America and the Caribbean (53.75, 2.20), South Asia (52.45, 2.61) and sub-Saharan Africa (48.27, 2.48). Gross national income per capita was moderately correlated with GOH-IDI (R2 = 0.651, Deviance explained = 66.6%, P < 0.005). Low income countries have the best performance in some secondary indicators, including Non-communicable Diseases and Mental Health and Health risks. Five indicators are not statistically different at each economic level, including Animal Epidemic Disease, Animal Biodiversity, Air Quality and Climate Change, Land Resources and Environmental Biodiversity. CONCLUSIONS: The GOH-IDI is a crucial tool to evaluate the situation of One Health. There are inter-regional differences in GOH-IDI significantly at the worldwide level. The best performing region for GOH-IDI was North America and the worst was sub-Saharan Africa. There is a positive correlation between the GOH-IDI and country economic status, with high-income countries performing well in most indicators. GOH-IDI facilitates researchers' understanding of the multidimensional situation in each country and invests more attention in scientific questions that need to be addressed urgently.

Towards a global One Health index: a potential assessment tool for One Health performance.

BACKGROUND: A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS: We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS: The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS: GOHI-subject to rigorous validation-would represent the world's first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.

[Variation Characteristics and Health Risk Assessment of BTEX in the Atmosphere of Northern Suburb of Nanjing].

BTEX concentrations were determined by GC5000 online gas chromatography in the atmosphere of the north suburb of Nanjing in March 2013 to February 2014, using the EPA human exposure analysis evaluation method for benzene series compounds of volatile organic compounds (VOCs) in health risk assessment. The results showed that the total amount of BTEX showed the variation characteristics of spring > winter > autumn > summer. BTEX concentration was higher in the periods of 07:00-10:00 and 17:00-20:00, and the lowest was detected between 13:00-15:00; At the weekend, the concentration of BTEX was higher than on the working day. The sources of BTEX included traffic sources, industrial sources and solvent evaporation. The HQ of BTEX in all four seasons showed the order of benzene > xylene > ethylbenzene > toluene, and the HQ risk values were within the safety range in all analysis periods. The distribution of R value was winter > autumn > spring > summer, and R was higher than the safety threshold for all the analyses, indicating the existence of carcinogenic risk.

Descriptive analysis of mail interventions with physicians and patients to improve adherence with antihypertensive and antidiabetic medications in a mixed-model managed care organization of commercial and Medicare members.

BACKGROUND: Medication nonadherence is a major concern for many health care stakeholders. Improving medication adherence in health plan members who have both hypertension and diabetes is essential for the successful management of these chronic diseases, with anticipated outcomes in decreased health care utilization, all-cause mortality and cost. OBJECTIVE: To (a) identify patients who are potentially nonadherent to antidiabetic or antihypertensive agents within 1 managed care organization and (b) determine the relationship of rates of medication nonadherence with 2 mail intervention programs that involved quarterly medication-specific profiles of patients with potential nonadherence sent to primary care physicians (PCPs) and general medication adherence letters sent to patients with potential nonadherence. METHODS: The study sample consisted of commercial members, Medicare Advantage-Prescription Drug Plan (MA-PD) members and Medicare Prescription Drug Plan (PDP) members who filled prescriptions for antihypertensive and antidiabetic medications and utilized their managed care pharmacy benefit during each measurement quarter (3 months) in the 2-year study period. Nonadherence was defined as a medication possession ratio (MPR) less than 77.0% for 1 or more antihypertensives and/or antidiabetic medications for each standalone calendar quarter. The first intervention, letters to PCPs with patient-specific medication profiles for 2008 Q2, began 6-8 weeks after 2008 Q2 and continued for each standalone calendar quarter through the end of the study period in 2010 Q1 (January 1, 2010, through March 31, 2010). We assumed that patient care was managed by PCPs for hypertension and diabetes treatment. The medication profile also included antihyperlipidemic medication claims information, but there was no adherence analysis performed for antihyperlipidemic medications. The second intervention, letters sent to potentially nonadherent patients, began 6-8 weeks after 2009 Q1 for patients with MPR less than 77% for 1 or more antidiabetic or antihypertensive medications in 2009 Q1 and continued for each standalone calendar quarter through the end of the study period in 2010 Q1. RESULTS: Because there were 2 different interventions, 2 baseline adherence rates were calculated, for 2008 Q2 for the PCP mailing and for 2009 Q1 for the patient mailing. Compared with the baseline nonadherence rate in 2008 Q2 (35.6%), a small increase in nonadherence was observed in 2008 Q3 (36.4%), following by 6 calendar quarters of lower rates of nonadherence with a 27.7% nonadherence rate in the last measurement period in 2010 Q1. Compared with the nonadherence rate of 30.8% in baseline 2 (2009 Q1), the patient mailings were associated with small increases in nonadherence to 31.4% in 2009 Q2 and 31.1% in 2009 Q3, respectively, followed by lower nonadherence rates in 2009 Q4 (29.2%) and 2010 Q1 (27.7%). CONCLUSIONS: A 2-part intervention that involved mailings to PCPs for patients with both diabetic and antihypertensive medications who were potentially nonadherent to at least 1 medication, followed 9 months later by a general mailing sent to these potentially nonadherent patients regarding medication adherence, was associated with apparent improvement. However, the effect of the 2-part intervention on medication nonadherence could not be isolated because of coincident disease management interventions in diabetes and hypertension during the 2-year study period.