scholarly journals Development Innovation to Predict Dengue Affected Area and Alert People with Smartphones

2020 ◽  
Vol 16 (02) ◽  
pp. 62 ◽  
Author(s):  
Patsaraporn Somboonsak
Keyword(s):  
Dengue Fever ◽  
Fog Computing ◽  
Arima Model ◽  
Application Development ◽  
Vector Borne Diseases ◽  
Traffic Lights ◽  
The People ◽  
Dengue Outbreaks ◽  
Vector Borne ◽  
Self Driving Cars

<p class="0abstract">Dengue remains a significant problem that needs to be addressed urgently in Thailand. Although Thailand has spread the dengue fever for more than sixty years, however, it is still found dengue patients in every province and spread to various areas. There is also a variable pattern of disease occurring each year, so it is necessary to have tools to help forecast area to allow the related organization and the people in the area plan to prevent dengue fever that may occur next year. This research aimed to create innovation for predicting dengue fever regions, namely ThaiDengue, by collecting data from dengue patients in Chatuchak District, Bangkok, Thailand, from January 2014 to December 2018. There was a total of 358,524 dengue patients from the Bureau of vector-borne diseases applied to the prediction of patients in the next year with the ARIMA model (1,1,0) (1,1,0). It is predicted that in 2019, Thailand will have dengue patients around 95,000 cases, which has the number of dengue patients close to the year 2018. In the next step, application development and database on fog computing. Fog computing is an evolving technology that brings the benefits achieved by could computing to the periphery of the network devices for faster data analytics. It is better suited than cloud computing for meeting the demands of numerous emerging applications such as self-driving cars, traffic lights, smart homes. While the ThaiDengue consists of the main menu: how to use, forecast, surveillance calendar, notification, disease map, notify patients, contact the Bureau of vector-borne, knowledge information, and scan the QR code. After that, the result of the development, the researcher has the Bureau of vector-borne disease of Thailand used to forecasts, create a GPS map of dengue outbreaks, and create a calendar for dengue monitoring.  After that, send a message to alert the people in the area of dengue via a smartphone and send additional emails. The results from using the application found this application can be used as a tool to help the Bureau of vector-borne diseases, to plan dengue fever control and alert the people in the risk areas of dengue outbreak and users are very satisfied with the use of the application.</p>

Simulation and prediction of dengue outbreaks based on an SIR model with a time-dependent transmission rate including meteorological data. An example for Colombo and Jakarta

2021 ◽  
pp. 2150073
Author(s):  
Peter Heidrich ◽  
Thomas Götz
Keyword(s):  
Transmission Rate ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Time Dependent ◽  
Data Sets ◽  
Vector Borne Diseases ◽  
Dengue Outbreaks ◽  
Vector Borne ◽  
Text Model ◽  
Periodic Transmission

Vector-borne diseases can usually be examined with a vector–host model like the [Formula: see text] model. This, however, depends on parameters that contain detailed information about the mosquito population that we usually do not know. For this reason, in this article, we reduce the [Formula: see text] model to an [Formula: see text] model with a time-dependent and periodic transmission rate [Formula: see text]. Since the living conditions of the mosquitos depend on the local weather conditions, meteorological data sets flow into the model in order to achieve a more realistic behavior. The developed [Formula: see text] model is adapted to existing data sets of hospitalized dengue cases in Jakarta (Indonesia) and Colombo (Sri Lanka) using numerical optimization based on Pontryagin’s maximum principle. A previous data analysis shows that the results of this parameter fit are within a realistic range and thus allow further investigations. Based on this, various simulations are carried out and the prediction quality of the model is examined.

‘Swimming mosquitoes’: a key stepping stone to prevent Dengue, Zika and Chikungunya: an educative experience in Colima, Mexico

2019 ◽  
Vol 34 (4) ◽  
pp. 389-399 ◽  
Author(s):  
Paula Medone ◽  
Carlos M Hern�ndez-Su�rez
Keyword(s):  
Risk Perception ◽  
Control Strategies ◽  
Social Representations ◽  
Adult Mosquito ◽  
Breeding Sites ◽  
Stepping Stone ◽  
Public Issues ◽  
Vector Borne Diseases ◽  
The People ◽  
Vector Borne

Abstract Dengue, Zika and Chikungunya arboviruses (DZC), mainly transmitted by mosquito Aedes aegypti, are global health public issues affecting 390 million people each year. In most endemic countries, vector control strategies have been focused on reducing breeding sites and adult mosquito populations. Most health communication strategies have pointed out adult mosquito as the main responsible of the transmission, persuading people to eliminate domestic containers. However, it is not clear how should people understand the relationship between adult mosquitoes and water domestic containers. So, the main goal of the present study was to assess the people understanding of this relationship. Results showed that most people associate adult mosquitoes with DZC, but only few could associate swimming larvae with mosquitoes. The unawareness of larva presence leads to an underestimation of risk perception about DZC transmission. In this context, we consider that educative interventions for health promotion, based on meaningful knowledge and social representations arise as long-term strategies to control transmission of vector-borne diseases. Here, we propose innovative health strategies focused on increase the risk perception about swimming larvae, considering social representations, which may be a key stepping stone to increase people adherence to massive campaigns and reducing DZC burden.

scholarly journals A Fractional Order Dengue Fever Model in the Context of Protected Travellers

2021 ◽  
Author(s):  
E. Bonyah ◽  
M. L. Juga ◽  
C. W. Chukwu ◽  
Fatmawati
Keyword(s):  
Dengue Fever ◽  
Fractional Order ◽  
Existence And Uniqueness ◽  
Climate Changes ◽  
Reproduction Number ◽  
Asymptotically Stable ◽  
Qualitative Information ◽  
Uniqueness Of Solutions ◽  
Vector Borne Diseases ◽  
Vector Borne

AbstractClimate changes are affecting the control of many vector-borne diseases, particularly in Africa. In this work, a dengue fever model with protected travellers is formulated. Caputo-Fabrizio operator is utilized to obtain some qualitative information about the disease. The basic properties and the reproduction number is studied. The two steady states are determined and the local stability of the states are found to be asymptotically stable. The fixed pointed theory is made use to obtain the existence and uniqueness of solutions of the model. The numerical simulation suggests that the fractional-order affects the dynamics of dengue fever.

scholarly journals Arbovirus Infections: the Challenges of Controlling an Ever-Present Enemy

2009 ◽  
Vol 4 (5) ◽  
pp. 322-328 ◽  
Author(s):  
Tomohiko Takasaki ◽  
◽  
Akira Kotaki ◽  
Chang-Kweng Lim ◽  
Shigeru Tajima ◽  
...  
Keyword(s):  
Global Warming ◽  
Dengue Fever ◽  
Yellow Fever ◽  
Japanese Encephalitis ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
West Nile Fever ◽  
Valley Fever ◽  
Vector Borne Diseases ◽  
Vector Borne

Arthropod-borne infections carried by mosquitoes and ticks are difficult to eradicate, once rooted, and have frequently caused wide-area epidemics such as dengue fever, West Nile fever, chikungunya fever, yellow fever, Japanese encephalitis and Rift Valley fever. Factors such as global warming and overpopulation have aggravated urban epidemics caused by dengue and chikungunya viruses. Measures against arthropods have their limitations, however, so nonepidemic areas must be protected against invasion by vector-borne diseases through quarantine, education and effective vaccination.

scholarly journals DENGUE FEVER;

2012 ◽  
Vol 19 (05) ◽  
pp. 688-694
Author(s):  
SHAHBAZ BAIG ◽  
ABDUL SATTAR ◽  
SHAHBAZ AHMAD
Keyword(s):  
Dengue Fever ◽  
Dengue Infection ◽  
Cross Sectional Study ◽  
High Grade Fever ◽  
Cross Sectional ◽  
The People ◽  
Number Of Patients ◽  
The Family ◽  
Health Significance ◽  
Vector Borne

Dengue infection is one of the most common mosquito borne viral diseases of public health significance. It has been identifiedas a clinical entity since 1780. Dengue is caused by viruses that are small enveloped viruses and are members of the family Flaviviridae genusFlavivirus. It is a vector borne disease and is a global health threat. In Pakistan first epidemic was reported in 1994 and since then cases arereported every years. This year dengue infection raised the number of patients and increased the deaths. Objectives: To assess theknowledge, attitude and practices of the people regarding Dengue fever. Study Design: Cross Sectional Study. Setting: Aziz Bhatti Town,Lahore. Duration of Study: One Month. Material and methods: Convenient sampling. The investigator himself collected the information fromthe sample under study. First of all, an informed consent was obtained from the respondent under study and secrecy of the information wasensured. Data was entered and cleaned using Epi Data version 3. Data was analyzed using Epi info version 3.5.1. Results: Out of 41respondent families only 2.4% did not hear about dengue fever while 97.6% respondents were well aware of the dengue fever. 80.5% wereaware of high grade fever in dengue fever, 73.2% were aware of associated body aches. 92.7% were aware that dengue fever is preventable.95.1% were using mats, coils & repellents while 2.4% were using smoke of wet wood.36.6% were covering the water containers. 75.6% werekeeping environment dry and clean.68.3% were having opinion that they will consult GP in case of illness.85.4% told that TV/Radio were thesource of above mentioned knowledge while 9.8% doctor and 4.9% got information through newspapers. only 4.9% respondents were havingopinion that government had sprayed for dengue fever.7.3% families experienced the patient of dengue fever in their family. Conclusions: Inthis study the results are the almost same with little variations as found in other studies. The knowledge, attitude and practice are the almostsame in every studies with little variation. Majority of the families were well aware of dengue fever.

scholarly journals Dengue and Scrub Typhus Coinfection in a Patient Presenting with Febrile Illness

2017 ◽  
Vol 2017 ◽  
pp. 1-3 ◽  
Author(s):  
Surendra Sapkota ◽  
Sudeep Bhandari ◽  
Subash Sapkota ◽  
Rabin Hamal
Keyword(s):  
Dengue Fever ◽  
Scrub Typhus ◽  
Febrile Illness ◽  
Acute Febrile Illness ◽  
Laboratory Parameters ◽  
Vector Borne Diseases ◽  
Common Causes ◽  
Vector Borne ◽  
High Degree ◽  
Timely Treatment

Dengue fever and scrub typhus are common causes of acute febrile illness of unclear origin in Asia. Though coinfections of many vector-borne diseases have been described, articles on dengue and scrub typhus coinfection are distinctly limited. In case of coinfection with dengue and scrub typhus, vigilant monitoring of vitals, platelets transfusion, and timely treatment with doxycycline are necessary. High degree of suspicion has to be made for coinfection in a patient presenting with febrile illness with thrombocytopenia and deranged laboratory parameters in postmonsoon season in endemic regions in Asia.

scholarly journals Mosquito Survey in the Campus Area of Universitas Padjadjaran Jatinangor in September to November 2016

2017 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
Lia Faridah ◽  
Radiah Baizura ◽  
Sri Yusnita
Keyword(s):  
General Hospital ◽  
Dengue Fever ◽  
Field Survey ◽  
Light Trap ◽  
District General Hospital ◽  
West Java ◽  
Breeding Sites ◽  
Vector Borne Diseases ◽  
Vector Borne ◽  
Indoor And Outdoor

AbstractSumedang regency reported being one of dengue endemic areas in West Java. The number of dengue fever patients in Sumedang District General Hospital increased in the last quarter of 2015. Universitas Padjadjaran (Unpad) is one of most significant areas in Jatinangor Sumedang where many people are doing their activity day and night. The purpose of the study was to identify what types of mosquito genera exist in Unpad campus according to the time and location. A field survey was conducted at 22 locations in Unpad campus using modified electric light trap placed indoor and outdoor at each site from September to November 2016. The modified electrical trap was turned on for 24 hours, and samples collected every 12 hours. Mosquitoes trapped were put into the plastic cup, labeled according to time collected, and brought to Parasitology Laboratory of Unpad for identification. The study result identified four types of mosquito genera which were Culex spp. (405), Armigeres spp. (70), Aedes spp. (33), and Anopheles spp. (10). Prevention toward potential breeding sites and protection using window net should be considered to reduce the risk of vector-borne diseases. In conclusion, Aedes spp. is the most active mosquito during the day while Culex spp. and Armigeres spp. are the most active mosquito during the night.AbstrakKabupaten Sumedang dilaporkan sebagai salah satu daerah endemik demam berdarah di Jawa Barat. Jumlah pasien demam berdarah yang datang ke Rumah Sakit Umum Daerah Sumedang meningkat dalam tiga bulan terakhir pada tahun 2015. Universitas Padjadjaran (Unpad) merupakan salah satu wilayah yang terluas di Jatinangor Sumedang sebagai tempat banyak orang melakukan aktivitas pada siang dan malam hari. Tujuan penelitian ini adalah mengidentifikasi jenis genera nyamuk yang ada di kampus Unpad Jatinangor berdasar atas waktu dan lokasi. Survei lapangan dilakukan pada 22 lokasi di kampus Unpad Jatinangor pada bulan September–November 2016 menggunakan perangkap nyamuk cahaya yang dimodifikasi. Perangkap nyamuk ditempatkan di dalam dan luar ruangan untuk setiap lokasi. Perangkap nyamuk dipasang selama 24 jam, kemudian nyamuk dikumpulkan setiap 12 jam. Nyamuk yang terperangkap dikumpulkan dan dimasukkan ke dalam cangkir plastik, diberi label sesuai dengan waktu pengambilan, kemudian dibawa ke Laboratorium Parasitologi Unpad untuk diidentifikasi. Hasil penelitian menunjukkan 4 genera nyamuk ditemukan di kampus Unpad Jatinangor, yaitu Culex spp. (405), Armigeres spp. (70), Aedes spp. (33), dan Anopheles spp. (10). Pencegahan pada tempat yang berpotensi menjadi sarang nyamuk dan perlindungan menggunakan kawat nyamuk pada jendela harus dipertimbangkan untuk menurunkan risiko penyakit tular vektor. Simpulan penelitian ini, Aedes spp. merupakan nyamuk yang paling aktif pada siang hari serta Culex spp. dan Armigeres spp. yang paling aktif pada malam hari.

Disease Surveillance Using Online News: Dengue and Zika in Tropical Countries (Preprint)

2019 ◽  
Author(s):  
Yiding Zhang ◽  
Motomu Ibaraki ◽  
Franklin W. Schwartz
Keyword(s):  
Dengue Fever ◽  
Disease Surveillance ◽  
Health Impact ◽  
Online News ◽  
Outbreak Detection ◽  
Vector Borne Diseases ◽  
News Reports ◽  
Local Newspapers ◽  
Vector Borne ◽  
Source Of Information

BACKGROUND Around the world in tropical areas, certain vector-borne diseases have become endemic and hyperendemic. Among the developing nations, there are common difficulties in establishing the incidences of various diseases, especially vector-borne diseases with complex etiologies and a broad spectrum of presentations. One alternative approach to characterization of the disease outbreaks examines the possibilities of developing proxy information from online news articles. Such sources are being evaluated for applications to disease surveillance, early outbreak detection, and epidemiology research. Our study here looks to examine the potential of news articles in elucidating outbreaks of dengue in India and zika disease in Brazil. OBJECTIVE This study is designed to assess the potential usefulness of news articles in tracking case numbers of dengue and zika through an improved understanding of how news outlets report on disease. We specifically examine the possibilities of providing near real-time reporting on the development of outbreaks of dengue and zika. METHODS Newspaper articles related to dengue fever and zika disease in India and Brazil, respectively were extracted from the LexisNexis database. We targeted news articles available from five popular international news sources and two local newspapers in each country. The news articles were processed to provide yearly and weekly time series in the number of articles concerned with dengue and zika to test their potential suitability as proxies for disease prevalence. The collections of articles were analyzed using a text mining tool-kit that subdivides a collections of news articles into smaller clusters to study the topical focus of articles and their relevance to tracking diseases. RESULTS For dengue fever in India, the local newspapers provide a better source of information than international newspapers. The multi-year analysis (2010-2016) suggests that the numbers of dengue cases are strongly correlated with the numbers of news reports, with an R2 value of 0.88. For zika disease in Brazil, the news reports provided useful information on the timing of the zika outbreak. Reporting increase sharply at the beginning of 2016, peaked in weeks 5 to 8, and decreased sharply. The numbers of articles remained low for the remainder of 2016 and 2017. Comparisons with reported case again show article numbers to be a useful proxy of prevalence of zika in Brazil. CONCLUSIONS The paper describes a strategy that applies newspaper as proxies to monitor outbreaks of infectious diseases and to study the epidemiology. It has potential applicability in some developing countries and regions with relatively poor medical infrastructures and records. Clearly, large national newspapers in India provide a better source of information on diseases than international outlets. This approach has potential with selected diseases in a few selected countries. Article numbers internationally appear to vary in proportion to the perceived health impact.

scholarly journals Climate change and the emergence of vector-borne diseases in Europe: case study of dengue fever

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Maha Bouzid ◽  
Felipe J Colón-González ◽  
Tobias Lung ◽  
Iain R Lake ◽  
Paul R Hunter
Keyword(s):  
Climate Change ◽  
Dengue Fever ◽  
Vector Borne Diseases ◽  
Vector Borne

scholarly journals Climatic Conditions: Conventional and Nanotechnology-Based Methods for the Control of Mosquito Vectors Causing Human Health Issues

2019 ◽  
Vol 16 (17) ◽  
pp. 3165 ◽  
Author(s):  
Toqeer Ahmed ◽  
Muhammad Zeeshan Hyder ◽  
Irfan Liaqat ◽  
Miklas Scholz
Keyword(s):  
Human Health ◽  
Dengue Fever ◽  
Seasonal Variability ◽  
Climatic Conditions ◽  
Health Issues ◽  
Environmental Chemical ◽  
Vector Borne Diseases ◽  
The Past ◽  
Vector Borne ◽  
The Impact

Climate variability is highly impacting on mosquito-borne diseases causing malaria and dengue fever across the globe. Seasonal variability change in temperature and rainfall patterns are impacting on human health. Mosquitoes cause diseases like dengue fever, yellow fever, malaria, Chikungunya, West Nile and Japanese encephalitis. According to estimations by health organizations, annually one million human deaths are caused by vector-borne diseases, and dengue fever has increased about 30-fold over the past 50 years. Similarly, over 200 million cases of malaria are being reported annually. Mosquito-borne diseases are sensitive to temperature, humidity and seasonal variability. Both conventional (environmental, chemical, mechanical, biological etc.) and nanotechnology-based (Liposomes, nano-suspensions and polymer-based nanoparticles) approaches are used for the eradication of Malaria and dengue fever. Now green approaches are used to eradicate mosquitoes to save human health without harming the environment. In this review, the impact of climatic conditions on mosquito-borne diseases along with conventional and nanotechnology-based approaches used for controlling malaria and dengue fever have been discussed. Important recommendations have been made for people to stay healthy.

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