scholarly journals Analysis of Hemorrhagic Fever With Renal Syndrome Using Wavelet Tools in Mainland China, 2004–2019

2020 ◽  
Vol 8 ◽  
Author(s):  
Lu-Xi Zou ◽  
Ling Sun
Keyword(s):  
Mainland China ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Geographical Information ◽  
Time Intervals ◽  
Accurate Analysis ◽  
Cyclical Fluctuation ◽  
Support Tools ◽  
Life Threatening ◽  
Set Up

Introduction : Hemorrhagic fever with renal syndrome (HFRS) is a life-threatening public health problem in China, accounting for ~90% of HFRS cases reported globally. Accurate analysis and prediction of the HFRS epidemic could help to establish effective preventive measures.Materials and Methods : In this study, the geographical information system (GIS) explored the spatiotemporal features of HFRS, the wavelet power spectrum (WPS) unfolded the cyclical fluctuation of HFRS, and the wavelet neural network (WNN) model predicted the trends of HFRS outbreaks in mainland China.Results : A total of 209,209 HFRS cases were reported in mainland China from 2004 to 2019, with the annual incidence ranged from 0 to 13.05 per 100,0000 persons at the province level. The WPS proved that the periodicity of HFRS could be half a year, 1 year, and roughly 7-year at different time intervals. The WNN structure of 12-6-1 was set up as the fittest forecasting model for the HFRS epidemic.Conclusions : This study provided several potential support tools for the control and risk-management of HFRS in China.

scholarly journals Spatiotemporal analysis and forecasting model of hemorrhagic fever with renal syndrome in mainland China

2018 ◽  
Vol 146 (13) ◽  
pp. 1680-1688 ◽  
Author(s):  
Ling Sun ◽  
Lu-Xi Zou
Keyword(s):  
Moving Average ◽  
Mainland China ◽  
Public Health Problem ◽  
Information Criterion ◽  
Hemorrhagic Fever ◽  
Geographical Information ◽  
Spatiotemporal Pattern ◽  
Forecasting Model ◽  
Sarima Model ◽  
Province Level

AbstractHemorrhagic fever with renal syndrome (HFRS) caused by hantaviruses is a serious public health problem in China, accounting for 90% of HFRS cases reported globally. In this study, we applied geographical information system (GIS), spatial autocorrelation analyses and a seasonal autoregressive-integrated moving average (SARIMA) model to describe and predict HFRS epidemic with the objective of monitoring and forecasting HFRS in mainland China. Chinese HFRS data from 2004 to 2016 were obtained from National Infectious Diseases Reporting System (NIDRS) database and Chinese Centre for Disease Control and Prevention (CDC). GIS maps were produced to detect the spatial distribution of HFRS cases. The Moran's I was adopted in spatial global autocorrelation analysis to identify the integral spatiotemporal pattern of HFRS outbreaks, while the local Moran's Ii was performed to identify ‘hotspot’ regions of HFRS at province level. A fittest SARIMA model was developed to forecast HFRS incidence in the year 2016, which was selected by Akaike information criterion and Ljung–Box test. During 2004–2015, a total of 165 710 HFRS cases were reported with the average annual incidence at province level ranged from 0 to 13.05 per 100 000 persons. Global Moran's I analysis showed that the HFRS outbreaks presented spatially clustered distribution, with the degree of cluster gradually decreasing from 2004 to 2009, then turned out to be randomly distributed and reached lowest point in 2012. Local Moran's Ii identified that four provinces in northeast China contributed to a ‘high–high’ cluster as a traditional epidemic centre, and Shaanxi became another HFRS ‘hotspot’ region since 2011. The monthly incidence of HFRS decreased sharply from 2004 to 2009 in mainland China, then increased markedly from 2010 to 2012, and decreased again since 2013, with obvious seasonal fluctuations. The SARIMA ((0,1,3) × (1,0,1)12) model was the most fittest forecasting model for the dataset of HFRS in mainland China. The spatiotemporal distribution of HFRS in mainland China varied in recent years; together with the SARIMA forecasting model, this study provided several potential decision supportive tools for the control and risk-management plan of HFRS in China.

scholarly journals Knowledge, awareness and attitude towards dengue fever outbreaks in the summer

2018 ◽  
Vol 5 (4) ◽  
pp. 772
Author(s):  
Rawan Almuhanna ◽  
Abdulrahman Alobudi ◽  
Saud Alazdi ◽  
Hammam Alghamdi ◽  
Muhab Hindi ◽  
...  
Keyword(s):  
Dengue Fever ◽  
Computer Literacy ◽  
Public Health Problem ◽  
Dengue Shock Syndrome ◽  
Hemorrhagic Fever ◽  
World Population ◽  
Healthcare Education ◽  
Life Threatening ◽  
The Impact ◽  
Status Level

Dengue fever is a life-threatening viral infection that has been a public health problem. It is estimated that almost more than one half of the world population live in countries where dengue fever is endemic. Among affected individuals, about 5% develop the fatal dengue shock syndrome and dengue hemorrhagic fever, and almost 20,000 patients die annually with these conditions. Despite the magnitude of the problem, dengue fever is a preventable disease. Prevention can be carried out by elimination of inhabitant mosquitoes, vaccination of vulnerable individuals, and regular health education particularly during outbreaks. Many literatures studies were conducted to evaluate the impact of healthcare education on dengue fever prevention, and many researchers studied the population awareness and attitudes about the disease. Knowledge and awareness varied among different studies, and some factors were reported to influence this knowledge such as gender, socioeconomic status, level of education, and computer literacy. The attitudes also differed among the studies and did not seem to be correlated with the population knowledge about the disease. This article will review the knowledge, awareness, and attitudes among different countries towards dengue fever outbreaks in the summer.

Difusi dan Pola Spasial Sebaran Penyakit Demam Berdarah Dengue (DBD) Di Kota Bandar Lampung

2018 ◽  
Vol 1 (1) ◽  
pp. 87-95
Author(s):  
Nurul Qamila ◽  
Agel Vidian Krama
Keyword(s):  
Public Health ◽  
Spatial Analysis ◽  
Aedes Aegypti ◽  
Dengue Virus ◽  
Spatial Pattern ◽  
Dengue Hemorrhagic Fever ◽  
Health Problem ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Descriptive Method

Dengue hemorrhagic fever (DHF) is a contagious disease caused by the dengue virus and is transmitted by the mosquito Aedes aegypti (Aa.aegypti). The population is still a public health problem that increases the number of sufferers and also widespread, with population and education. This study aims to reveal the spatial pattern and distribution of Dengue Hemorrhagic Fever (DHF) with the spatial pattern and the spread of Dengue Hemorrhagic Fever (DHF) can result in different locations of these allegations. From the map that can be used for the prevention of Dengue Hemorrhagic Fever (DBD) in Bandar Lampung City. This study aims to reveal the spatial pattern and distribution of Dengue Hemorrhagic Fever (DHF) with the descriptive method and spatial pattern of Dengue Hemorrhagic Fever (DHF) can result in different locations of these allegations. From the map that can be used for the prevention of Dengue Hemorrhagic Fever (DBD) in Bandar Lampung City. Keywords: DHF, Spatial Analysis

scholarly journals Return Period Evaluation of the Largest Possible Earthquake Magnitudes in Mainland China Based on Extreme Value Theory

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3519
Author(s):  
Yanbing Bai ◽  
Ning Ma ◽  
Shengwang Meng
Keyword(s):  
Earthquake Engineering ◽  
Return Period ◽  
Extreme Value Theory ◽  
Threshold Model ◽  
Mainland China ◽  
Value Theory ◽  
Extreme Value ◽  
Geographical Information ◽  
Geographical Regions ◽  
The Right

The largest possible earthquake magnitude based on geographical characteristics for a selected return period is required in earthquake engineering, disaster management, and insurance. Ground-based observations combined with statistical analyses may offer new insights into earthquake prediction. In this study, to investigate the seismic characteristics of different geographical regions in detail, clustering was used to provide earthquake zoning for Mainland China based on the geographical features of earthquake events. In combination with geospatial methods, statistical extreme value models and the right-truncated Gutenberg–Richter model were used to analyze the earthquake magnitudes of Mainland China under both clustering and non-clustering. The results demonstrate that the right-truncated peaks-over-threshold model is the relatively optimal statistical model compared with classical extreme value theory models, the estimated return level of which is very close to that of the geographical-based right-truncated Gutenberg–Richter model. Such statistical models can provide a quantitative analysis of the probability of future earthquake risks in China, and geographical information can be integrated to locate the earthquake risk accurately.

scholarly journals Effect of COVID-19 outbreak on emergency department attendances in an Italian academic hospital

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poletto ◽  
G Perri ◽  
F Malacarne ◽  
B Bianchet ◽  
A Doimo ◽  
...  
Keyword(s):  
Emergency Department ◽  
Initial Phase ◽  
Mainland China ◽  
Hospital Setting ◽  
Academic Hospital ◽  
Significant Difference ◽  
Before And After ◽  
Life Threatening ◽  
The Mean ◽  
Critical Patients

Abstract Background Coronavirus disease 2019 (COVID-19) is a viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was discovered during the 2019 outbreak in Mainland China and the first cases were reported in Italy on February 21, 2020. This study evaluates the emergency department (ED) attendances of an academic hospital in northern Italy before and after media reported the news of the first infected patients in Italy. Methods Adult attendances in ED in February 2020 were analysed dividing the period into 4 weeks (days 1-7, 8-14, 15-21, 22-28) compared with the same periods in 2019. The visits were analysed separately according to the Italian colour code of triage: white (non-critical), green (low-critical), yellow (medium critical), red (life-threatening). The mean weekly number of attendances was compared with t-test. Results February 2020 total ED attendances compared with February 2019 were 4865 vs 5029 (-3.3%), of which white codes were 834 vs 762 (+9.4%), green 2450 vs 2580 (-5.0%), yellow 1427 vs 1536 (-7.1%), red 154 vs 151 (+2.0%). February 2020 weekly mean ED attendances compared with February 2019 had statistically significant difference only in the fourth week (days 22-28) for green codes (75 vs 92, p = 0.007) and yellow codes (41 vs 52, p = 0.047), not for white (27 vs 26, p = 0.760) and red codes (5 vs 5, p = 0.817). The first three weeks of February 2020 compared with 2019 showed no statistically significant difference in weekly mean ED attendances. Conclusions There was a significant reduction of green and yellow codes attendances at ED in the fourth week of February 2020, corresponding to the initial phase of Italian COVID-19 outbreak. The fear of contracting SARS-CoV-2 by attending the ED probably acted as a significant deterrent in visits, especially for low and medium critical patients. Additional data are required to better understand the phenomenon, including the behaviour of non-critical attendances. Key messages A reduction of green and yellow codes attendances was reported during initial phase of COVID-19 outbreak in an Italian academic hospital. Fear of contracting COVID-19 infection in a hospital setting could impact on emergency department attendances.

COMMUNITY KNOWLEDGE OF DENGUE FEVER IN ALLAMA IQBAL TOWN, LAHORE

2020 ◽  
pp. 52-58
Author(s):  
OJS Admin
Keyword(s):  
Public Health ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Health Problem ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Community Knowledge

Globally, dengue is an emerging serious public health problem with a million infections occurring annually including significant number of dengue hemorrhagic fever cases.

General Information & Statistics

2002 ◽  
Vol 06 (08) ◽  
pp. 289-296
Keyword(s):  
Hong Kong ◽  
Infectious Diseases ◽  
Pulmonary Disease ◽  
Mainland China ◽  
General Information ◽  
Meat Industry ◽  
Pharmaceutical Development ◽  
Biotech Industry ◽  
Set Up ◽  
Great Stride

China Made Great Stride in Biotechnology Over Last 15 Years. First Asian Biotech Summit to be Held in China. International Biotechnology Exhibition to Kick off in Beijing. Sino-Canadian Bioscience Lab Set up in Xinjiang. China Join Hands with Russia, Belarus and Ukraine in Science and Technology. Hong Kong, Taiwan and Mainland China Urged to Cooperate in Bio-Pharmaceutical Development. India Seeks More US Funds for Farm R&D. Incidence of Pulmonary Disease Diagnosed as Asthma High in India. Japanese Biotech Industry Seeking to Establish Ties with Europe. Korea Spends Half the Agriculture Budget to Subsidize Farming Sector. NZ Biotech Sector to Overtake Meat Industry in Eight Years. Singapore and Japan Strengthen R&D Ties. Biotechnology in Asia 2002 to be Held in Singapore. Singapore Sets up New Infectious Diseases Center.

scholarly journals AERIAL PHOTOGRAPHIC WATERLINE SURVEY OF AN ESTUARY

1974 ◽  
Vol 1 (14) ◽  
pp. 148
Author(s):  
J. SIndern ◽  
G.E. Schroder
Keyword(s):  
Tide Gauge ◽  
High Water ◽  
Aerial Photographs ◽  
Northern Germany ◽  
Tide Gauge Records ◽  
Time Intervals ◽  
Accurate Analysis ◽  
Contour Lines ◽  
Short Time ◽  
Reference Markers

The project of a "barrage across an estuary in Northern Germany was accompanied by a programme to monitor the hydrologic and morphologic situation. This became necessary in order to avoid dangers resulting from the sensitivity of the shallow wadden area to human interference. Various methods to record the morphology were tested. The aerial photographic waterline survey proved superior as it supplies a complete and economic record and allows accurate analysis of the topography. The principle consists in taking aerial photographs at short time intervals between low water and high water, each photo showing a different waterline. The scale chosen was 1:18000, corresponding to a flight altitude of 2700 metres. Rectification of the distorted photos requires reference markers to be distributed over the survey area which measures about 140 km^. By using simultaneous tide gauge records, contour lines can be constructed from the photographed waterlines. This morphologic record is supplemented by submarine survey of the estuary. It is expected that details of sediment transport and of tidal prism changes may be revealed. Predicted and actual effects of the barrage will be compared, which might lead to a better understanding of such coasts.

scholarly journals Neonatal malformations: organization of information flows in the S. Anna Hospital of Torino

2021 ◽  
Vol 31 (Supplement_3) ◽  
Author(s):  
V Bordino ◽  
A Musso ◽  
F Bert ◽  
R Siliquini
Keyword(s):  
Public Health ◽  
Congenital Malformations ◽  
Maternal Age ◽  
Health Planning ◽  
Public Health Problem ◽  
Quality Of Data ◽  
Live Births ◽  
Regional Health Planning ◽  
Set Up ◽  
The Impact

Abstract Background Congenital malformations (CMs) represent a serious public health problem, both in terms of size (3% newborns/year) and severity of outcomes. The surveillance activity carried out by the Registers is an important tool for monitoring the frequency of events, to evaluate etiology, support research and public health actions. The aim is to evaluate the organization and the information network related to the diagnosis of malformation in the S. Anna presidium. Methods the retrospective study analyzed all newborns with one or more CM and all cases of TOPFA (Termination of Pregnancy for Fetal Anomaly) for CMs in the period 01/2020 - 01/2021. A forward-looking pilot study was then set up to assess the impact on the quality of data collection through the introduction of a MC sheet. Results 510 cases of CMs were found in live births, 180 in TOPFA for CMs and 4 in stillbirths. The duration of hospitalizations averaged 14.5 days (σ 36.56), with a median of 4 days. In the CMs group, an average maternal age of 33.40 years (σ 9.32), a median of 33 years and a mode of 33 years were calculated, in the TOPFA group an average maternal age of 34 years (σ 6.34), a median of 34 years and a mode of 32 years. In the live births group, 701 maternal diagnoses were detected, categorized and compared with the various national reports. The MC Sheet was compiled for 60 patients, 16 (4.30%) patients before the introduction of the sheet (01/2020 - 09/2020) and 44 (30.43%) after its introduction (10/2020 - 01/2021). Regarding the assessment of the proper use of ICD9CM an adequacy of 78% was observed in the first group vs one of 100% in the second. Conclusions Our preliminary data assess the need for a Regional registry, for a comparison with the main national and regional sources available (also with a view to possible participation in the EUROCAT and ICBDSR registers) and for regional health planning. Key messages The study underlines the need for a Regional Registry of congenital malformations. The clinical file is not always a complete source for analysing data on congenital malformations.

scholarly journals EMERGENCY USE AUTHORIZATION: AT ZERO HOUR

2018 ◽  
Vol 3 (4) ◽  
pp. 18-23
Author(s):  
V. Balamuralidhara ◽  
Vaishnav A.M. ◽  
Bachu V. ◽  
Pramod Kumar T.M.
Keyword(s):  
Homeland Security ◽  
Ebola Virus ◽  
Hemorrhagic Fever ◽  
The United States ◽  
Vital Role ◽  
Test Device ◽  
Department Of Homeland Security ◽  
The Public ◽  
Life Threatening ◽  
Us Fda

The Emergency Use Authorisation (EUA) authority plays a vital role in US FDA. They provide the authority/permission to use the unregistered products/registered product with unregistered route to treat the life threatening damages to the patients in world in some emergency conditions. The aim of this work is to give an overview on EUA in life threatening conditions and there challenges in getting the permissions under regulations with example of E-bola virus. The e-bola is a virus. It is a hemorrhagic fever deadly disease caused by one of the E-bola viral strain, which is wide spread in West Africa. The -Secretary of the Department of homeland security (DHS), determined, pursuant to section 319F-2 of the Public Health Service Act, that the Ebola virus presents a material threat against the United States population sufficient to affect national security. Issuance of EUA by the FDA Commissioner requires several steps under section 564 of the FD&C Act. The FDA Commissioner, can only issue the EUA, if criteria for issuance under the statute are met. This study’s highlights the importance of the EUA in emergency when there is no medicine for disease/virus in the world. For example the FDA has issued a EUA to use the ReEBOV which is the Rapid Antigen Test device designed by Lusys lab co. Pvt. Ltd. for detecting the Zaire Ebola virus.

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