RATIONALE/OBJECTIVE

Aneurysmal subarachnoid hemorrhage (aSAH) may be associated with meteorologic factors in temperate countries. The authors aimed to investigate the relationship between meteorologic factors and aSAH admissions in the Philippines, a tropical country with two seasons: rainy and dry.

A census review of aSAH admissions from 2015 to 2019 at a tertiary hospital was performed. Meteorologic data were collected for the same time period, and statistical analysis was performed.

A total of 660 patients were admitted for aSAH, 275 and 385 during the rainy and dry seasons, respectively. August and October had the greatest number of mean admissions (13.2) while February had the least (6.2). There was a moderate positive correlation between aSAH admissions and mean temperature. Negligible to weak negative correlations were seen between aSAH admissions and humidity, barometric pressure and precipitation. However, there was no correlation on regression analysis.

There were no significant differences in aSAH admissions between rainy and dry seasons. The authors found an increase in aSAH admissions during months with higher temperatures and HI, and weak to negligible negative correlations between aSAH admissions and humidity, barometric pressure, and precipitation. These findings may inform health care facilities in terms of readiness for aSAH admissions.

The tight relationships between microbiome and traditional Chinese medicine(TCM)have been widely recognized. New technologies, results, and theories are emerging in the field of microbiomics in recent years with the advances in high-throughput sequencing and multi-omics technologies. Based on the previous research, the present study has proposed the concept of TCM microbiomics(TCMM), which is an interdisciplinary subject aiming at elucidating the functions and applications of microbiome in the areas of herb resources, herb processing, herb storage, and clinical effects by using modern technology of biology, ecology, and informatics. This subject essentially contains the structures, functions, interactions, molecular mechanisms, and application strategies of the microbiome associated with the quality, safety, and efficacy of TCM. Firstly, the development of the TCMM concept was summarized, with the profound understanding of TCMM on the complexity and entirety of microbiome being emphasized. Then, the research contents and applications of TCMM in promoting the sustainable development of herb resources, improving the standardization and diversification of herb fermentation, strengthening the safety of herb storage, and resolving the scientific connotation of theories and clinical efficacy of TCM are reviewed. Finally, the research strategies and methods of TCM microbiomics were elaborated from basic research, application research, and system research. TCMM is expected to promote the integrative development of TCM with frontier science and technology, thereby expanding the depth and scope of TCM study and facilitating TCM modernization.
Ecology ; Fermentation ; High-Throughput Nucleotide Sequencing ; Medicine, Chinese Traditional ; Research Design

Aims: Marine bacteria have been reported to produce potential natural pigment with pharmaceutical properties and their growth can be manipulated in the laboratory to increase pigment production and their antimicrobial activity. Hence, this study aimed to enhance the prodigiosin production in Serratia marcescens IBRL USM84 by improving physical conditions. Methodology and results: The quantification of the pigment produced by S. marcescens IBRL USM84, bacterial cell growth, and its antibacterial activity in the broth medium were determined using a spectrophotometry method. Meanwhile, the antibacterial effect of red pigment on MRSA cells was observed under a scanning electron microscope (SEM). This marine isolate produced the highest yield of prodigiosin (6.95 μg/mL) when cultivated in marine broth with the addition of 0.2% of agar, 25 °C incubation temperature, initial medium pH of 7, 150 rpm of agitation speed for 48 h of cultivation time under light illumination. There was an increment of 151.81% in prodigiosin production after enhancement compared to before the enhancement of cultural conditions. SEM observations revealed that severe damage to the cell’s morphologies was exposed to red pigment as indicated by the formation of small dents, which led to completely collapse and eventually, cell death. Conclusion, significance and impact of study A positive correlation between pigment production and antibacterial activity was observed in the present study. The results supported the fact that marine bacteria are a reservoir of various pigments with antimicrobial properties. Also, the pigment production by S. marcescens and its antibacterial activity were significantly influenced by physical parameters.
Prodigiosin ; Serratia marcescens ; Marine Biology

In recent years, the research focus on determinants of chronic non-communicable diseases has shifted from non-spatial factors (e.g., lifestyle behaviors) to spatial factors (e.g., natural and built environments). As the intersection of lifecourse epidemiology and spatial epidemiology, spatial lifecourse epidemiology is a research area in the field of health geography. It combines advanced spatial technologies, including geographic information systems, surveying, remote sensing, location-based services and artificial intelligence, to accurately retrace, measure, and simulate individuals' exposures across the life course (i.e., exposome); and adopts lifecourse models, including the accumulation of risk model and critical/sensitive period models, to investigate the impact of individuals' exposures in the past on their health status at different stages of life. This paper introduces the theories, main analysis approaches and focus of spatial lifecourse epidemiology in the research of chronic non-communicable diseases for the purpose of better understanding and applications of spatial lifecourse epidemiology in the research of determinants of chronic non-communicable diseases, providing important reference for future research, facilitating the development of health geography to eventually achieve precise health management over the lifecourse.
Artificial Intelligence ; Epidemiology ; Forecasting ; Geography ; Health Status ; Humans ; Noncommunicable Diseases/epidemiology*

BACKGROUND: Regional disparities in the working conditions of medical doctors have not been fully assessed in Japan. We aimed to clarify these differences in hospital characteristics: doctors' workload, wages, and popularity among medical students by city population sizes. METHODS: We targeted 423 teaching hospitals certified by the Japanese Society of Internal Medicine and assessed the working conditions of physicians specializing in internal medicine. We calculated their workload (the annual number of discharged patients per physician) and retrieved data on junior residents' monthly wages from the Resinavi Book which is popular among medical students in Japan to know the teaching hospital's information and each hospital's website. Furthermore, we explored the interim matching rate of each hospital as its popularity among medical students. Next, we classified cities in which all hospitals were located into eight groups based on their population size and compared the characteristics of these hospitals using a one-way analysis of variance. RESULTS: The average workload was 110.3, while the average workload in hospitals located in most populated cities (≥ 2,000,000) was 88.4 (p < 0.05). The average monthly wage was 351,199 Japanese yen, while that in most populated cities was 305,635.1 Japanese yen. The average popularity (matching rate) was 101.9%, and the rate in most populated areas was 142.7%, which was significantly higher than in other areas. CONCLUSIONS Hospitals in most populated areas had significantly lower workloads and wages; however, they were more popular among medical students than those in other areas. This study was the first to quantify the regional disparities in physicians' working conditions in Japan, and such disparities need to be corrected.
Cities/statistics & numerical data* ; Geography ; Hospitals, Teaching/statistics & numerical data* ; Japan ; Physicians/statistics & numerical data* ; Population Density ; Salaries and Fringe Benefits/statistics & numerical data* ; Students, Medical/psychology* ; Workload/statistics & numerical data*

This paper established the identification technology of the main root origin of three-year-old spring Panax notoginseng aiming at providing theoretical basis for the protection and traceability of geographical indication products of P. notoginseng. Forty-four samples of three-year-old spring P. notoginseng from Guangxi Baise, Yunnan Wenshan, Yunnan new cultivating regions. The stable isotopic ratios of carbon, nitrogen, hydrogen and oxygen were determined by elemental analysis and stable isotope mass spectrometer. Combined with Duncan multiple comparative analysis, fisher discriminant analysis and sequential discriminant analysis, a origin discriminant model for the main root of three-year-old spring P. notoginseng was established for 3 production areas of P. notoginseng. The geographical climate and environment of three production areas of P. notoginseng are obviously different. From Guangxi Baise-Yunnan Wenshan-Yunnan new cultivating regions, the longitude, average annual temperature and annual precipitation gradually decrease, and the elevation and latitude are increasing. The results of multiple comparative analysis showed that there were significant or very signi-ficant differences in the δ~(13)C,δ~(15)N,δ~2H,δ~(18)O of the main roots of P. notoginseng in three regions. The results of fisher's discriminant analysis and sequential discriminant analysis showed that the correct discriminant rates of the main roots of P. notoginseng for three regions were 80.05%,76.47% and 90.91%, respectively, based on four stable isotope ratios, with an average of 84.09%. Using stable isotope fingerprint and chemometrics method, we can distinguish the origin of the main raw materials and products of P. notoginseng.
China ; Geography ; Isotopes ; Panax notoginseng ; Seasons

Phylogeography is a research hotspot in the field of the genetic diversity and core germplasm construction of endangered rare plants. Paris polyphylla var. yunnanensis is a rare plant species mainly distributed in China. Wild individuals have been overexploited for the last few decades because of increasing demand for such medicines. Therefore, it is great significance to study the phylogeography of P. poliphylla var. yunnanensis based on chloroplast gene trnL-trnF sequences. In this study, chloroplast genes trnL-trnF were used in the phylogeography analysis of 15 wild and 17 cultivated populations of P. polyphylla var. yunnanensis. This study revealed that based on the results of neutrality tests and mismatch analysis, the rapid expansion of wild population has not been detected in P. polyphylla var. yunnanensis. After aligning and sorting the obtained cpDNA sequences, a total of 15 haplotypes were detected in all 32 populations. One haplotype was unique to the wild population, and 5 haplotypes were unique to the cultivated population. It can be seen that the haplotype richness of cultivated population was higher than that of wild population. The wild populations of P. polyphylla var. yunnanensis were divided into two groups according to evolutionary relationship of haplotypes and distribution map of haplotypes. The haplotype of branch Ⅰ was mainly distributed in Guizhou, and the haplotype of branch Ⅱ was located in Yunnan and Huidong, Sichuan. Therefore, it's speculated that Guizhou and the west Yunnan region may be glacial refuge in the evolutionary history of wild populations of P. polyphylla var. yunnanensis, and in order to protect the wild resources more effectively, wild populations of P. polyphylla var. yunnanensis in these two areas should be included in the protection zone.
China ; Genes, Chloroplast ; Humans ; Liliaceae/genetics* ; Melanthiaceae ; Phylogeography

The research on the historical production areas of Dao-di herbs is of great value to the quality evaluation, production base and protection for geographic indications of Dao-di herbs. Current studies mostly focused on the sorting of written sources, but neglected the excavation of image records such as historical maps and topographic maps. This paper aims at exploreing the geographical scope and evolution mode of historical production area of the Dao-di herbs by combining the method of historical map labelling with the traditional literature and historical research methods. It can be divided into three steps: production area name extraction, historical map labelling and textual research on the historical production area of Dao-di herbs. This method may provide a better way to show the geographical scope and topographic features of the historical production areas of Dao-di herbs through historical maps labelling, which is essential to further explore the evolution of production areas of Dao-di herbs from ancient times to the present by comparing historical maps of different periods, and may be helpful to discover the reasons for the formation and evolution of historical producing areas of Dao-di herbs from different perspectives such as environment, climate, humanities, economy, policy, etc. In addition, the historical map database can be used for map labelling to help establish the relationship between the dynasties, historical names, and change cha-racteristics of the scope of the historical production areas of Dao-di herbs in the following research.
Drugs, Chinese Herbal ; Geography ; Medicine, Chinese Traditional ; Plants, Medicinal ; Research Design

BACKGROUND: Current studies on the COVID-19 depicted a general incubation period distribution and did not examine whether the incubation period distribution varies across patients living in different geographical locations with varying environmental attributes. Profiling the incubation distributions geographically help to determine the appropriate quarantine duration for different regions. METHODS: This retrospective study mainly applied big data analytics and methodology, using the publicly accessible clinical report for patients (n = 543) confirmed as infected in Shenzhen and Hefei, China. Based on 217 patients on whom the incubation period could be identified by the epidemiological method. Statistical and econometric methods were employed to investigate how the incubation distributions varied between infected cases reported in Shenzhen and Hefei. RESULTS: The median incubation period of the COVID-19 for all the 217 infected patients was 8 days (95% CI 7 to 9), while median values were 9 days in Shenzhen and 4 days in Hefei. The incubation period probably has an inverse U-shaped association with the meteorological temperature. The warmer condition in the winter of Shenzhen, average environmental temperature between 10 °C to 15 °C, may decrease viral virulence and result in more extended incubation periods. CONCLUSION Case studies of the COVID-19 outbreak in Shenzhen and Hefei indicated that the incubation period of COVID-19 had exhibited evident geographical disparities, although the pathological causality between meteorological conditions and incubation period deserves further investigation. Methodologies based on big data released by local public health authorities are applicable for identifying incubation period and relevant epidemiological research.
Adolescent ; Adult ; Aged ; COVID-19/prevention & control* ; Child ; China/epidemiology* ; Female ; Geography ; Humans ; Infectious Disease Incubation Period ; Male ; Middle Aged ; Quarantine ; Retrospective Studies ; SARS-CoV-2 ; Young Adult

Academies and Institutes/history* ; Animals ; Biostatistics/history* ; China ; Ecology/history* ; History, 20th Century ; Humans ; Insecta/physiology* ; Vertebrates/physiology* ; Zoology/history*