scholarly journals The prevalence of rabies cases in the territory of Azerbaijan, January 2015-June 2016

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Nigar Safi ◽  
Kliment Asadov ◽  
Shalala K. Zeynalova ◽  
Eldar Gasanov ◽  
Natig Javadov
Keyword(s):  
Disease Surveillance ◽  
Electronic System ◽  
Graphical Analysis ◽  
Scientific Data ◽  
Obligatory Control ◽  
Electronic Reporting ◽  
Wild Fauna ◽  
Disease Surveillance System ◽  
In The Wild ◽  
The Republic

Objectiveto show the instability of an epizootic situation on rabies casesof animals in the Republic of Azerbaijan, on the example of thecases analysis in Electronic Integrated Disease Surveillance System(EIDSS) electronic reporting systemIntroductionRabies is an infectious disease which was and remains to be oneof the most serious diseases of all species of hematothermal animalsand humans, in many regions of the world. The epizootic situation onrabies in the Republic of Azerbaijan has been unfavorable for manyyears, which is confirmed by scientific data and the veterinary casesreporting in the EIDSS system. This system was introduced in thecountry in 2009 and is the electronic System of disease control. Theprogram allows to provide monitoring and prevention of diseaseswithin the concept “One World - One Health System” by integrationof systems of observation of animal diseases, human diseases, anddisease carriers.MethodsOn the basis of the data on rabies cases entered in special formsand also aggregative data collected on anti-rabies vaccination, theanalysis of information on quantity of cases and their prevalence onadministrative and territorial units (rayons) of the country is carriedout. The graphical analysis (charts and the map) on the basis ofnecessary criteria are constituted in the analyses module, visualizationof the AVR reporting and in the Microsoft Excel program.ResultsThe analysis of the rabies cases confirmed at the Virologydepartment of the Republican Veterinary Laboratory shows thatrabies has been identified in 36 cases in 2015, 25 cases in January- June, 2016, in total 61 cases has been registered for the periodof “January 2015 – June 2016”. An epizootologically unfavorablesituation is revealed in 27 regions. The most unfavorable situation isthe northwest regions of the country, the most part of which is coveredwith mountainy-forest area with domination of wild fauna. Specificstructure of animals: dogs – 31 cases in 19 areas (51%), cattle – 21cases in 12 areas (34%), a small cattle-1 case (2%), wild animals(specify types) - 8 cases in 8 areas (13%) that is visually shown oncharts 1 and 2. The cattle were bitten by wolves and jackals.ConclusionsThus, prevalence of rabies cases of different species of animalsin the country, once again proves natural and focal character of thedisease: the reservoir of rabies is in the wild nature and geographicalconditions impact the spread of rabies.Cases of rabies in animals are registered annually. In 2015,vaccination captured about 250000 dogs, and 244400 dogs werevaccinated in the first 6 months of 2016. Despite a huge group ofvaccinations, restriction of rabies spread isn’t observed and thetendency is trending to the increase of rabies case indicators amongstthe dogs.It is necessary to pay close attention to preventive vaccination ofdomestic (including non-productive) animals. If materiel resourcesare available, it is possible to carry out the vaccination of the cattlein the territories adjacent to the forests. In the threatened territorieswith woodlands, there is no alternative to oral vaccinations, whichis confirmed by positive experience of many countries. There is anextreme need of carrying out of oral vaccination of wild carnivorousanimals with obligatory control of the immune status.

scholarly journals Successful implementation of electronic disease reporting in Georgia

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Lia Sanodze ◽  
Naile Malakmadze ◽  
Rusudan Chlikadze ◽  
Maka Tsilosani ◽  
Tamar Teimurazishvili ◽  
...  
Keyword(s):  
Disease Surveillance ◽  
Reporting System ◽  
Successful Implementation ◽  
Disease Reporting ◽  
User Training ◽  
Telephone Interviews ◽  
Electronic Reporting ◽  
Disease Surveillance System ◽  
Initial Survey

ObjectiveThe objective of this study was to evaluate several aspects of theelectronic disease reporting system and its abilities used in Georgia.Also, the study assessed if the system abilities are tailored to thenational surveillance requirements. User attitudes (system strengthand weaknesses) toward the system was also surveyed.IntroductionThe Ministry of Health of Georgia accepted the ElectronicIntegrated Disease Surveillance System (EIDSS) as an officialdisease reporting system in 2012. The Georgian government adoptedelectronic reporting for both veterinary and human diseases in2015. We conducted a comparative assessment of progress in theimplementation of electronic reporting.MethodsA face-to-face initial survey was conducted in 2012, a follow-upsurvey (through telephone interviews) was performed in 2016. Theinitial survey was conducted in regions that had EIDSS installedand the follow-up survey was conducted in all regions. Standardizedquestionnaires were used and data was analyzed in Epi Info.ResultsOut of 450 trained EIDSS users, 32% were interviewed in theinitial survey and 25% (of 550) EIDSS trained users were interviewedin the follow-up survey. Of 147 respondents in the initial survey and138 in the follow-up survey, 44% and 79%, believed that they wereusing EIDSS effectively, respectively. The follow-up survey showeda 23% increase in respondents who acknowledge an improvement ofthe electronic reporting; acceptance of EIDSS increased from 80.3%to 97.8%. Of those interviewed in the follow-up survey, 19.7%mentioned that the main success in development of the system is dueto improved collaboration between institutes. However, 17.36% of therespondents in the follow-up survey reported non-sufficient qualitydata.ConclusionsOur study suggests that the acceptance and use of EIDSS hasnoticeably improved, indicating the successful implementation ofelectronic reporting. Recommendations have been made to furtherimprove the data quality by conducting regular data cleaning andadditional user training. We recommend the continuation of EIDSStraining.

scholarly journals Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Liu ◽  
Dongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Population Density ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Spatiotemporal Analysis ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Short Time ◽  
Effective Public Health ◽  
Global And Local ◽  
Spatial Transmission

AbstractFew study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods. We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed obvious global aggregation and local aggregation. In addition, the analysis at streets-level suggested population density and the number of hospitals were associated with COVID-19 cases number. The epidemic situation showed obvious global and local spatial aggregations. High population density with larger number of hospitals may account for the aggregations. The epidemic in Wuhan was under control in a short time after strong quarantine measures and restrictions on movement of residents were implanted.

Incidence of acute myocardial infarction in the workforce: Findings from the Occupational Disease Surveillance System

2021 ◽  
Vol 64 (5) ◽  
pp. 338-357
Author(s):  
Natalie Troke ◽  
Chloë Logar‐Henderson ◽  
Nathan DeBono ◽  
Mamadou Dakouo ◽  
Selena Hussain ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Disease Surveillance System

scholarly journals Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19

2021 ◽  
Vol 17 (5) ◽  
pp. 155014772110181
Author(s):  
Wei-Ling Lin ◽  
Chun-Hung Hsieh ◽  
Tung-Shou Chen ◽  
Jeanne Chen ◽  
Jian-Le Lee ◽  
...  
Keyword(s):  
Body Temperature ◽  
Temperature Measurement ◽  
Measurement System ◽  
Disease Surveillance ◽  
Disease Surveillance System ◽  
Temperature Detection ◽  
Wide Range ◽  
Body Temperature Measurement ◽  
Analysis System ◽  
Temperature Measurement System

Today, the most serious threat to global health is the continuous outbreak of respiratory diseases, which is called Coronavirus Disease 2019 (COVID-19). The outbreak of COVID-19 has brought severe challenges to public health and has attracted great attention from the research and medical communities. Most patients infected with COVID-19 will have fever. Therefore, the monitoring of body temperature has become one of the most important basis for pandemic prevention and testing. Among them, the measurement of body temperature is the most direct through the Forehead Thermometer, but the measurement speed is relatively slow. The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). To solve the above-mentioned problems, the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS) are proposed in this study. ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. In this study, the campus field is used as an example, in which ITMS and PPAS are used. In the research, Proof of Concept (PoC), Proof of Service (PoS), and Proof of Business (PoB) were carried out for the use of ITMS and PPAS in the campus area. From the verification, it can be seen that ITMS and PPAS can be successfully used in campus fields and are widely recognized by users. Through the verification of this research, it can be determined that ITMS and PPAS are indeed feasible and capable of dissemination. The ITMS and PPAS are expected to give full play to their functions during the spread of pandemics. All in all, the results of this research will provide a wide range of applied thinking for people who are committed to the development of science and technology.

Tick surveillance of migratory birds during 2010–2011 on Hong and Heuksan Islands, Jeollanam Province, Republic of Korea 

2018 ◽  
Vol 23 (11) ◽  
pp. 2214 ◽  
Author(s):  
Sung-Tae Chong ◽  
Heung Chul Kim ◽  
Jong-Gil Park ◽  
Chang-Yong Choi ◽  
Chang-Uk Park ◽  
...  
Keyword(s):  
Disease Surveillance ◽  
National Park ◽  
Migratory Birds ◽  
Bird Species ◽  
Republic Of Korea ◽  
Surveillance Program ◽  
Haemaphysalis Longicornis ◽  
Haemaphysalis Concinna ◽  
Park Service ◽  
The Republic

Migratory birds were captured, examined, banded and then released in accordance with a bird banding protocol of the Bird Research Center, National Park Research Institute, Korea National Park Service, from January-December 2010–2011 on Hong and Heuksan Islands, Jeollanam (Jeonnam) Province, in the Republic of Korea (ROK). Concurrently, ticks were collected from captured birds as part of a tick-borne disease surveillance program. A total of 381 ticks belonging to three genera and eight species – Ixodes turdus (297 ticks), Ixodes nipponensis (16), Haemaphysalis flava (46), Haemaphysalis longicornis (9), Haemaphysalis formosensis (5), Haemaphysalis ornithophila (6), Haemaphysalis concinna (1), and Amblyomma testudinarium (1)—were collected from 32 bird species belonging to 3 families. This is the first host report of A. testudinarium (1 nymph) collected from White’s Thrush, Zoothera aurea (Aves: Passeriformes: Turdidae), in the ROK. Most ticks were collected from birds during the months of April (44.1%) and November (54.2%).

Disease Surveillance System for Big Climate Data Processing and Dengue Transmission

2017 ◽  
Vol 8 (2) ◽  
pp. 88-105 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
Daphne Lopez
Keyword(s):  
Climate Change ◽  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Sensor Data ◽  
Climate Data ◽  
The Real ◽  
Disease Surveillance System

Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called big climate data. Nowadays, researchers are trying to use big climate data to monitor and predict the climate change and possible diseases. Traditional data processing techniques and tools are not capable of handling such huge amount of climate data. Hence, there is a need to develop advanced big data architecture for processing the real time climate data. The purpose of this paper is to propose a big data based surveillance system that analyzes spatial climate big data and performs continuous monitoring of correlation between climate change and Dengue. Proposed disease surveillance system has been implemented with the help of Apache Hadoop MapReduce and its supporting tools.

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