scholarly journals Spatial distribution of Infectious Disease Epidemic in The Soppeng Regency, 2016-2018

2021 ◽  
Vol 940 (1) ◽  
pp. 012017
Author(s):  
Basri ◽  
Tasrifin Tahara ◽  
Dinna Dayana La Ode Malim ◽  
La Ode Abdul Munafi
Keyword(s):  
Infectious Disease ◽  
Spatial Distribution ◽  
Infectious Diseases ◽  
Typhoid Fever ◽  
Dengue Hemorrhagic Fever ◽  
Spatial Data ◽  
Health Centre ◽  
Hemorrhagic Fever ◽  
Development Planning ◽  
Public Health Centre

Abstract Diarrhea, typhoid fever and dengue hemorrhagic fever (DHF) are environmentalbased infectious diseases that contribute to the mortality rate of humans. This paper investigates the spatial distribution and the infectious disease epidemic that occurs based on environmental factors. The three primary diseases analyzed were diarrhea, typhoid fever, and dengue hemorrhagic fever. We abstracted data from several sources, including administrative maps, Regional Spatial Planning, BAPPEDA Soppeng Regency, the Central Statistics Agency (BPS), Public Health Centre, RBI Maps, and National DEM. The tool used in this research is a computer equipped with ArcGIS. The analysis documented that the trend of the three primary diseases did not represent a consistent decline in three consecutive years and even increased in certain subdistricts. Spatial data shows that the spread of infectious diseases based on the incidence rate is still dominated at low levels, although medium and high IR categories are also found in several areas in The Soppeng district. This paper proposes information for local government to implement health development planning and programs, particularly preventing and treating infectious diseases in Soppeng District.

scholarly journals Evaluation of surveillance of dengue fever cases in the public health centre of Putat Jaya based on attribute surveillance

2015 ◽  
Vol 3 (1) ◽  
pp. 82
Author(s):  
Zumaroh Zumaroh
Keyword(s):  
Public Health ◽  
Incidence Rate ◽  
Dengue Hemorrhagic Fever ◽  
Health Centre ◽  
Evaluation Research ◽  
Public Health Problem ◽  
Control Program ◽  
Hemorrhagic Fever ◽  
Public Health Centre ◽  
The Village

Dengue Hemorrhagic Fever (DHF) is a public health problem in the village of Putat Jaya which is an endemic area. Surveilans activity in DHF control program is the most important activity in controlling and monitoring disease progression. The program is expected to achieve incidence rate 55/100.000 population. This study aimed to evaluate the implementation of case surveilans in health centre of putat jaya based on attribute surveillance. Attribute surveillance is an indicator that describes the characteristics of the surveillance system. This research was an evaluation research with descriptive study design. As informants were clinic staff who deal specifically with cases of dengue hemorrhagic fever and laboratory workers. The techniques of data collection by interviews and document study. The variables of this study were simplicity, flexibility, acceptability, sensitivity, positive predictive value, representativeness, timeliness, data quality and data stability. It could be seen from Incidence Rate in 2013 has reached 133/100.00 population. The activity of surveilance in the village of Putat Jaya reviewed from disease contol program management was not succeed into decrease incidence rate of DHF. Therefore, dengue control programs in health centers Putat Jaya need to do cross-sector cooperation and cross-program cooperation, strengthening the case reporting system by way increasing in the utilization of information and communication technology electromedia.Keywords: case surveillance, dengue hemorrhagic fever, evaluation, attribute surveillance, Putat Jaya

scholarly journals Evaluation of surveillance of dengue fever cases in the public health centre of Putat Jaya based on attribute surveillance

2015 ◽  
Vol 3 (1) ◽  
pp. 82
Author(s):  
Zumaroh Zumaroh
Keyword(s):  
Public Health ◽  
Incidence Rate ◽  
Dengue Hemorrhagic Fever ◽  
Health Centre ◽  
Evaluation Research ◽  
Public Health Problem ◽  
Control Program ◽  
Hemorrhagic Fever ◽  
Public Health Centre ◽  
The Village

ABSTRACTDengue Hemorrhagic Fever (DHF) is a public health problem in the village of Putat Jaya which is an endemic area. Surveilans activity in DHF control program is the most important activity in controlling and monitoring disease progression. The program is expected to achieve incidence rate 55/100.000 population. Ths study aimed to evaluate the implementation of case surveilans in health centre of putat jaya based on attribute surveillance. Attribute surveillance is an indicator that describes the characteristics of the surveillance system. This research was an evaluation research with descriptive study design. As informants were clinic staff who deal specifically with cases of dengue hemorrhagic fever and laboratory workers. The techniques of data collection by interviews and document study. The variables of this study were simplicity, flexibility, acceptability, sensitivity, positive predictive value, representativeness, timeliness, data quality and data stability. It could be seen from Incidence Rate in 2013 has reached 133/100.00 population. The activity of surveilance in the village of Putat Jaya reviewed from disease contol program management was not succeed into decrease incidence rate of DHF. Therefore, dengue control programs in health centers Putat Jaya need to do cross-sector cooperation and cross-program cooperation, strengthening the case reporting system by way increasing in the utilization of information and communication technology electromedia.Keywords: case surveillance, dengue hemorrhagic fever, evaluation, attribute surveillance, Putat Jaya

scholarly journals Diagnosa Penyakit Demam Berdarah Dengue (DBD) menggunakan Metode Learning Vector Quantization (LVQ)

2020 ◽  
Vol 4 (3) ◽  
pp. 56
Author(s):  
Firman Tawakal ◽  
Ahmedika Azkiya
Keyword(s):  
Neural Network ◽  
Typhoid Fever ◽  
Vector Quantization ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Learning Vector Quantization ◽  
Mean Square ◽  
Northern Australia ◽  
Neural Network Learning ◽  
Network Learning

Dengue Hemorrhagic Fever is a disease that is carried and transmitted through the mosquito Aedes aegypti and Aedes albopictus which is commonly found in tropical and subtropical regions such as in Indonesia to Northern Australia. in 2013 there are 2.35 million reported cases, which is 37,687 case is heavy cases of DHF. DHF’s symthoms have a similarity with typhoid fever, it often occur wrong handling. Therefore we need a system that is able to diagnose the disease suffered by patients, so that they can recognize whether the patient has DHF or Typhoid. The system will be built using Neural Network Learning Vector Quantization (LVQ) based on the best training results. This research is to diagnose Dengue Hemorrhagic Fever using LVQ with input parameters are hemoglobin, leukocytes, platelets, and heritrocytes. Based on result, the best accuracy is 97,14% with Mean Square Error (MSE) is 0.028571 with 84 train data and 36 test data. Conclution from the research is LVQ method can diagnose DHF Keywords: Dengue Hemorrhagic Fever; Learning Vector Quantization; classification; Neural Network;

Knowledge, Attitude, and Practice of Dengue Hemorrhagic Fever Prevention Among Mothers in Endemic and Non-Endemic Locations of Pekanbaru City, Riau Province, Indonesia

2020 ◽  
Vol 1 (1) ◽  
pp. 55-66
Author(s):  
Tyagita Widya Sari ◽  
Martha Saptariza Yuliea ◽  
Novita Meqimiana Siregar ◽  
Raudhatul Muttaqin
Keyword(s):  
Dengue Hemorrhagic Fever ◽  
Health Centre ◽  
Sampling Technique ◽  
Hemorrhagic Fever ◽  
Bivariate Analysis ◽  
P Value ◽  
Cross Sectional ◽  
Attitude And Practice ◽  
Endemic Areas ◽  
Knowledge Attitude And Practice

Dengue hemorrhagic fever (DHF) is an infectious disease caused by dengue virus, which is one of the serious public health problems in Indonesia, particularly Pekanbaru City, Riau Province, Indonesia. One of the DHF endemic locations in Pekanbaru City is Payung Sekaki Health Centre, where 52 DHF cases and no deaths were reported in 2018. The number of DHF cases has increased to 53 and caused 1 death in January-August 2019 period (CFR = 1.89%). Karya Wanita Rumbai Health Centre is one of the DHF non-endemic areas in Pekanbaru City, where only 10 DHF cases and no deaths were reported in January-August 2019 period. The purpose of this study was to compare the knowledge, attitude, and practice of DHF prevention between mothers in endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia. The design of this study was observational, with a cross-sectional approach. The sampling technique used in this study was accidental sampling, which included 100 respondents from each region. The data source of this study consisted of primary and secondary data. Data analysis was performed using bivariate analysis with Mann Whitney statistical test because the data were not normally distributed. The results of the study showed that there were no differences in knowledge (p-value = 0.912) and attitude (p-value = 0.065) of DHF prevention between mothers living in the endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia. However, there were differences in practice of DHF prevention between mothers (p-value = 0.002) living in the endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia. The conclusion of this study is that there is no difference in knowledge and attitude of DHF prevention between mothers living in the endemic and non-endemic areas, but there are differences in DHF prevention practice between mothers living in the endemic and non-endemic areas of Pekanbaru City, Riau Province, Indonesia.

Management of infectious diseases in remote northwestern Ontario with telemedicine videoconference consultations

2016 ◽  
Vol 23 (1) ◽  
pp. 83-87 ◽  
Author(s):  
Jai Mashru ◽  
Michael Kirlew ◽  
Raphael Saginur ◽  
Yoko S Schreiber
Keyword(s):  
Infectious Disease ◽  
Patient Satisfaction ◽  
Infectious Diseases ◽  
First Nations ◽  
Respiratory Infections ◽  
Health Centre ◽  
Geographic Area ◽  
Administrative Database ◽  
Ottawa Hospital ◽  
Northwestern Ontario

Northwestern Ontario in Canada provides a unique clinical challenge for providing optimal medical care. It is a large geographic area (385,000 km2) and is home to 32 remote First Nations communities, most without road access. These communities suffer a heavy burden of infectious disease and specialist consultations are difficult to obtain. The Division of Infectious Diseases at the Ottawa Hospital and the Sioux Lookout Meno Ya Win Health Centre established a telemedicine-based infectious disease consultation service in July 2014. We describe the implementation of this service, types of cases seen and patient satisfaction, as well as some of the challenges encountered. Information on visits was prospectively collected through an administrative database, and patient satisfaction surveys were administered after each initial consultation. During our first year of operation, 191 teleconsultations occurred: 76 initial consultations, 82 follow-up appointments and 33 case conferences. The scope of cases has been broad, mostly involving musculoskeletal infections (26%), followed by skin and soft tissue infections (23%). HCV, acute rheumatic fever, and respiratory infections (including pulmonary tuberculosis) were other diagnoses. Patient satisfaction has been very high and 28 telemedicine patient visits have occurred in their remote home communities, minimizing travel. The infectious disease consulting service and local clinicians have succeeded in addressing needs for care in infectious diseases in northwestern Ontario, where important gaps in service to First Nations' communities continue to exist. Regular scheduled available access to an infectious disease specialist is a well-received advancement of care in this remote region of Canada.

A new surveillance indicator identifying optimal timeliness and accuracy: application to the Korean National Notifiable Disease Surveillance System for 2001–2007

2013 ◽  
Vol 141 (12) ◽  
pp. 2634-2643 ◽  
Author(s):  
H. S. YOO ◽  
S. I. CHO ◽  
J. K. LEE ◽  
H. K. PARK ◽  
E. G. LEE ◽  
...  
Keyword(s):  
Typhoid Fever ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Health Centre ◽  
Time Interval ◽  
Notifiable Disease ◽  
Public Health Centre ◽  
Trade Off ◽  
Disease Surveillance System ◽  
Time Accuracy

SUMMARYAlthough immediate notification of a case is crucial for epidemic control, clinicians may delay notification due to uncertainties in diagnosis, reflecting a trade-off between timeliness and the accuracy of surveillance. We assessed this trade-off for four epidemic-prone diseases that require immediate notification of suspected cases: shigellosis, typhoid fever, paratyphoid fever, and cholera in the Korean National Notifiable Disease Surveillance System data for 2001–2007. Timeliness was measured as the time to registration (TR), being the time interval from symptom onset to notification by the clinician to the local public health centre. We introduced a new index, ‘time-accuracy trade-off ratio’ to indicate time saved by clinical vs. laboratory-based notifications. Clinical notifications comprised 34·4% of total notifications, and these showed a shorter median TR than laboratory-based notifications (1–4 days). The trade-off ratio was greatest for shigellosis (3·3 days), and smallest for typhoid fever (0·6 days). A higher trade-off ratio provides stronger evidence for clinical notification without waiting for laboratory confirmation.

scholarly journals Dengue fever in the Indian subcontinent: an overview

2010 ◽  
Vol 5 (04) ◽  
pp. 239-247 ◽  
Author(s):  
Ummar Raheel ◽  
Muhammad Faheem ◽  
Mohammad Nasir Riaz ◽  
Naghmana Kanwal ◽  
Farakh Javed ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Infectious Diseases ◽  
Economic Impact ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Preventive Measures ◽  
Indian Subcontinent ◽  
Hemorrhagic Fever ◽  
Economic Loss ◽  
Pivotal Role

The Indian Subcontinent has emerged as a scene of many mosquito-borne infectious diseases, including malaria and dengue fever. After the 1990s, the rate of malaria declined owing largely to preventive measures, but at the same time dengue fever (DF) and dengue hemorrhagic fever (DHF) were increasing in the region. Outbreaks were recorded in all countries of the Indian Subcontinent with India, Pakistan, Bangladesh and Sri Lanka on the forefront and suffering from the largest number of cases and deaths. We discuss annual cases of DF/DHF in these four countries and possible factors involved in DF outbreaks. We also discuss prevalent serotypes in this region where data suggest the emergence of DEN2 and DEN3 as the most dominant and lethal serotypes. Climate is an important factor influencing DF outbreaks, and rainfall, temperature and humidity play a pivotal role in DF outbreaks. Finally the economic impact of DF/DHF cases is discussed showing that direct and indirect economic loss due to DF/DHF reaches millions of USD each year.

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