scholarly journals Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jafaruddin ◽  
Sapto W. Indratno ◽  
Nuning Nuraini ◽  
Asep K. Supriatna ◽  
Edy Soewono
Keyword(s):  
Dengue Fever ◽  
Dengue Infection ◽  
Early Growth ◽  
Infected Mosquito ◽  
Transmission Model ◽  
Cumulative Number ◽  
Basic Reproductive Ratio ◽  
Early States ◽  
Dengue Transmission ◽  
Dengue Epidemic

Estimating the basic reproductive ratioR0of dengue fever has continued to be an ever-increasing challenge among epidemiologists. In this paper we propose two different constructions to estimateR0which is derived from a dynamical system of host-vector dengue transmission model. The construction is based on the original assumption that in the early states of an epidemic the infected human compartment increases exponentially at the same rate as the infected mosquito compartment (previous work). In the first proposed construction, we modify previous works by assuming that the rates of infection for mosquito and human compartments might be different. In the second construction, we add an improvement by including more realistic conditions in which the dynamics of an infected human compartments are intervened by the dynamics of an infected mosquito compartment, and vice versa. We apply our construction to the real dengue epidemic data from SB Hospital, Bandung, Indonesia, during the period of outbreak Nov. 25, 2008–Dec. 2012. We also propose two scenarios to determine the take-off rate of infection at the beginning of a dengue epidemic for construction of the estimates ofR0: scenario I from equation of new cases of dengue with respect to time (daily) and scenario II from equation of new cases of dengue with respect to cumulative number of new cases of dengue. The results show that our first construction ofR0accommodates the take-off rate differences between mosquitoes and humans. Our second construction of theR0estimation takes into account the presence of infective mosquitoes in the early growth rate of infective humans and vice versa. We conclude that the second approach is more realistic, compared with our first approach and the previous work.

scholarly journals Projections of increased and decreased dengue incidence under climate change

2016 ◽  
Vol 144 (14) ◽  
pp. 3091-3100 ◽  
Author(s):  
C. R. WILLIAMS ◽  
G. MINCHAM ◽  
H. FADDY ◽  
E. VIENNET ◽  
S. A. RITCHIE ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Warming ◽  
Carbon Emission ◽  
Climate Models ◽  
Virus Transmission ◽  
Transmission Model ◽  
Simple Relationship ◽  
Breeding Sites ◽  
Dengue Transmission ◽  
Dengue Epidemic

SUMMARYDengue is the world's most prevalent mosquito-borne disease, with more than 200 million people each year becoming infected. We used a mechanistic virus transmission model to determine whether climate warming would change dengue transmission in Australia. Using two climate models each with two carbon emission scenarios, we calculated future dengue epidemic potential for the period 2046–2064. Using the ECHAM5 model, decreased dengue transmission was predicted under the A2 carbon emission scenario, whereas some increases are likely under the B1 scenario. Dengue epidemic potential may decrease under climate warming due to mosquito breeding sites becoming drier and mosquito survivorship declining. These results contradict most previous studies that use correlative models to show increased dengue transmission under climate warming. Dengue epidemiology is determined by a complex interplay between climatic, human host, and pathogen factors. It is therefore naive to assume a simple relationship between climate and incidence, and incorrect to state that climate warming will uniformly increase dengue transmission, although in general the health impacts of climate change will be negative.

scholarly journals In Silico Analysis and Molecular Modelling of NS2B-NS3 Protein in Dengue

2019 ◽  
pp. 526-530
Author(s):  
Vinod P. Sinoorkar ◽  
Snehal M. Mathe ◽  
Neha Guttikonda
Keyword(s):  
Dengue Fever ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Dengue Infection ◽  
Genetic Material ◽  
In Silico Analysis ◽  
Infected Mosquito ◽  
Protein Database ◽  
Ns3 Protein ◽  
Potent Drug

Dengue fever is frequently born viral infection caused by female mosquito Aedes egypti. Transmission of dengue infection is transfer from one host to another by infected mosquito bite. Dengue virus is categorized into various serotypes on the basis of their genetic material variable. Dengue fever and dengue haemorrhagic fever is serious risk factor to Mankind Nowdays there is no specific vaccine to treat the dengue infection. There is need to design potent antiviral vaccine against dengue fever. NS2B-NS3 act as potent drug target in dengue fever. Hence our present work to achieve to understand detail molecular properties of NS2B-NS3 protein by retrieving its amino acid sequence from protein database like PDB. Analysis of physicochemical parameters, secondary and tertiary structure prediction. structure visualization is done by using Rasmol structure visualization tool. Predicted model is validated using procheck analysis. This all information gives primary information for future work to perform computer aided drug design against dengue fever.

scholarly journals Hematological and coagulation profile of dengue infection in age group 1 to 12 years children in a tertiary care hospital

2021 ◽  
Vol 11 (2) ◽  
pp. 341-353
Author(s):  
Suman Sarkar ◽  
Mamta Kumari ◽  
Amrita Roy ◽  
Anirban Chatterjee ◽  
Partha Pratim Pal
Keyword(s):  
Dengue Fever ◽  
Dengue Infection ◽  
Tertiary Care ◽  
Warning Signs ◽  
World Health ◽  
Infected Mosquito ◽  
Severe Dengue ◽  
Care Hospital ◽  
Coagulation Profile ◽  
D Dimer

Dengue is an arboviral infection of public health problems in tropical and sub-tropical countries transmitted to humans through the bite of an infected mosquito of the Stegomyia family. It varies in severity, ranging from influenza-like self-limiting illness to life- threatening, which if left untreated, are associated with mortality as high as 20%. Find out hematological and coagulation profile in dengue infected children aged 1 to 12 years and association of hematological and coagulation profile with dengue severity. It is an Observational Cross- sectional study done on 100 dengue patients aged 1 to 12 years during the study period from March 2019 –February 2020. Among 100 dengue fever, 85 (85%) were categorized as dengue fever (DF), 11(11%) DF with warning signs and 4 (4%) were cases of severe dengue (DHF/DSS) according to revised World Health Organisation 2009. The most common age of presentation was above 6 years and females were afflicted more with dengue fever.100% dengue patients presented with fever. Persisting vomiting, pain abdomen, hepatomegaly and hypotension indicate progression towards severe dengue. Raised Hb% and PCV, low to normal values of WBC as well as predominantly decrease in platelet was seen in severe dengue cases however, both ESR and CRP were normal. The Liver function test was deranged SGOT>SGPT in almost all of the dengue patients and it was 3 to 4 times maximally in DFW and SD. PT, APTT prolongation, increased D- dimer and hypofibrinogenemia associated with the severity of dengue fever. Dengue is a common viral infection that may have serious consequences especially in children. There is clear difference in pattern of change of both haematological and biochemical parameters in non-severe dengue fever and severe dengue fever. Rising trend of Hb%, PCV, decreasing value of platelet count, raised transaminases (SGOT>SGPT), elevated D- dimer, PT and APTT and hypofibrinogenemia can be used as predictor of entry into critical phase

scholarly journals The seasonal reproduction number of dengue fever impacts of climate on transmission

2014 ◽  
Author(s):  
Sittisede Polwiang
Keyword(s):  
Dengue Fever ◽  
Reproduction Number ◽  
Dengue Infection ◽  
Viral Disease ◽  
Seasonal Reproduction ◽  
Transmission Method ◽  
Transmission Potential ◽  
Dengue Transmission ◽  
Epidemic Period ◽  
Rain Season

Background: Dengue fever is mosquito-borne viral disease and regular epidemic in Thailand. The peak dengue epidemic period is around June to August during rain season. It is believed that climate plays an important role for dengue transmission. Method: Mathematical model for vector-host infectious disease was used to calculate the impacts of climate to the transmission of dengue virus. In this study, the data of climate and dengue fever cases were from Chiang Mai 2004-2013, Thailand. The value of seasonal reproduction number was calculated to evaluate the potential, severity and persistence of dengue infection. Results: The population of mosquito was increasing exponentially from the start of rain season in early May and reaches the peak in late June. The simulations suggest that the greatest potential of dengue transmission occurs at temperature equal to 28.7 ºC. The seasonal reproduction numbers was 0.62-3.05, above unity from February to November and reaches the peak in July. Discussion and Conclusion: The results have shown that dengue infection is depending on seasonal variation. The rainfall provides places for mosquito to laid eggs and develop to adult stage. Temperature plays an important role to mosquito life cycle and also mosquito behaviors. The seasonal reproduction number was corresponding to dengue incidences number and could measure the dengue transmission potential. The sensitive analysis suggested that avoiding or reducing contact with mosquito is the best method to reduce the dengue transmission.

scholarly journals Local and Global Stability Analysis of Dengue Disease with Vaccination and Optimal Control

Symmetry ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1917
Author(s):  
Anusit Chamnan ◽  
Puntani Pongsumpun ◽  
I-Ming Tang ◽  
Napasool Wongvanich
Keyword(s):  
Optimal Control ◽  
Control Systems ◽  
Numerical Solutions ◽  
Dengue Infection ◽  
Transmission Model ◽  
Dengue Vaccine ◽  
Dengue Disease ◽  
Global Stability Analysis ◽  
Aedes Mosquitoes ◽  
Dengue Transmission

Dengue fever is a disease that has spread all over the world, including Thailand. Dengue is caused by a virus and there are four distinct serotypes of the virus that cause dengue DENV-1, DENV-2, DENV-3, and DENV-4. The dengue viruses are transmitted by two species of the Aedes mosquitoes, the Aedes aegypti, and the Aedes albopictus. Currently, the dengue vaccine used in Thailand is chimeric yellow tetravalent dengue (CYD-TDV). This research presents optimal control which studies the vaccination only in individuals with a documented past dengue infection (seropositive), regardless of the serotypes of infection causing the initial infection by the disease. The analysis of dengue transmission model is used to establish the local asymptotically stabilities. The property of symmetry in the Lyapunov function an import role in achieving this global asymptotically stabilities. The optimal control systems are shown in numerical solutions and conclusions. The result shows that the control resulted in a significant reduction in the number of infected humans and infected vectors.

scholarly journals Clinical profile of dengue fever in children admitted in a district hospital of South India

2020 ◽  
Vol 7 (3) ◽  
pp. 688
Author(s):  
Ramaswami Muthusamy ◽  
Palanivel Sengottaiyan
Keyword(s):  
Dengue Fever ◽  
Dengue Infection ◽  
Signs And Symptoms ◽  
Clinical Profile ◽  
Mortality And Morbidity ◽  
Rapid Construction ◽  
Bleeding Manifestation ◽  
Laboratory Investigations ◽  
Dengue Epidemic ◽  
Body Ache

Background: To assess the clinical profile of dengue fever in children.Methods: In this Prospective observational study 110 patients who admitted in Government District Headquarters Hospital, Namakkal between 1st August 2019 to 31st December 2019 were included. Those patients with confirmed dengue, with IgM dengue antibody positive were included in this study. Detailed history was taken, and clinical examination was performed, and laboratory investigations were done.Results: In this study 110 patients were studied, majority were males. Fever was present in 100% of patients followed by headache, myalgia. The common signs and symptoms of dengue infection were fever, headache, body ache, retro-orbital pain, bleeding manifestations, and rash in 100%, 97.27%, 92.72%, 77.27%, 8.12%, and 60.90%, respectively. In 90 cases platelet count was less than 100,000/cumm of which bleeding manifestation was found in 9 patients. Pleural effusion and ascites were observed in 25 and 15 cases respectively. Hepatomegaly was noted in 19 cases and splenomegaly in 10. Leucopenia was present in 52 cases whereas raised liver enzymes were present in 51 cases. The mortality rate was 0.9%.Conclusions: Dengue epidemic has increased in recent past probably due to unplanned urbanization with rapid construction activities, unhygienic condition and poor sanitation facilities contributing fertile breeding soil for mosquitoes. Early diagnosis and management can decrease mortality and morbidity of illness. Platelet transfusions have little role in management of dengue patients.

EL NINO RELATED CLIMATE AND DENGUE FEVER CASES IN JEDDAH, SAUDI ARABIA

2019 ◽  
Vol 25 (1) ◽  
Author(s):  
MASROOR ALI KHAN ◽  
KHALID AL GHAMDI ◽  
JAZEM A. MEHYOUB ◽  
RAKHSHAN KHAN
Keyword(s):  
Relative Humidity ◽  
Dengue Fever ◽  
El Niño ◽  
Significant Relationship ◽  
El Nino ◽  
Climate Data ◽  
Light Traps ◽  
Mosquito Abundance ◽  
Dengue Transmission ◽  
The Relationship

The focus of this study is to find the relationship between El Nino and dengue fever cases in the study area.Mosquito density was recorded with the help of light traps and through aspirators collection. Climate data were obtained from National Meteorology and Environment centre. (Year wise El Nino and La Nina data are according to NOAA & Golden Gate Weather Services). Statistical methods were used to establish the correlation coefficient between different factors. A high significant relationship was observed between Relative Humidity and Dengue fever cases, but Aedes abundance had no significant relationship with either Relative humidity and Temperature. Our conclusion is that the El Nino does not affect the dengue transmission and Aedes mosquito abundance in this region, which is supported by earlier works.

scholarly journals 1405. Clinical and laboratory features of fatal dengue fever in children: a case-control study

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S710-S711
Author(s):  
Dolores E Freire ◽  
Jeniffer D Olaya ◽  
Michael Hawkes
Keyword(s):  
Dengue Fever ◽  
Case Control Study ◽  
Dengue Infection ◽  
Healthcare Providers ◽  
Case Control ◽  
Warning Signs ◽  
Total Leukocyte Count ◽  
Retrospective Case ◽  
Time To Death ◽  
Control Study

Abstract Background Dengue fever (DF) is a mosquito-borne illness that causes significant morbidity and mortality in tropical climates. This study compared the clinical features of fatal DF cases to severe non-fatal, and non-severe controls in Ecuador. Methods Retrospective case-control study of children (1 month to 15 years) hospitalized with serologically-confirmed DF in Guayaquil, Ecuador from 2013 to 2017. Cases of severe, fatal (SF) DF were compared to two control groups: (1) severe DF survivors (SS); and (2) patients with dengue with warning signs (DWS), matched 3:1 to cases for age, sex, and admission date. Observational trial profile Results 1051 patients were admitted with suspected DF and 552 were IgM-positive. Patients were classified as SF (n=11), SS (n=30), or DWS (n=511) (Figure1). Among SF cases, median age was 9.6 years (IQR 5.5-11), 7 (64%) were male, and median time to death was 1.5 days (IQR 0.8-4.0). (Table 1) SF cases had a median of 3 (Range 0-5) encounters with healthcare providers prior to presentation, compared to 2 (Range 0-5, p=0.02) for SS and 2 (Range 0-3, p=0.02) for DWS. Physical findings more common in SF cases than controls included: higher weight, tachycardia, tachypnea, delayed capillary refill, and hepatomegaly (p< 0.05 for all comparisons). Neurological manifestations were more prevalent in the SF group: 9/11 (82%) patients compared to 15/30 (50%, p=0.09) in SS and 7/33 (21%, p< 0.01) in DWS. Total leukocyte count (7.8x103/µL versus 4.5x103/µL, p=0.03) and absolute neutrophil count (5.1x103/µL versus 2.1x103/µL, p=0.03) were higher in SF cases than DWS controls. Fewer SF patients received intravenous dextrose than SS controls (27% versus 70%, p=0.03) (Table 2). Admission characteristics of children with dengue fever Management and outcome Conclusion Delayed recognition by healthcare workers, higher weight, vital sign abnormalities, hepatomegaly, neurological symptoms, leukocytosis, neutrophilia, and lack of dextrose in intravenous solutions were associated with mortality in children with DF. These findings have implications for optimizing the diagnosis and management of severe pediatric dengue infection. Disclosures All Authors: No reported disclosures

scholarly journals Multi-Tissue Transcriptomic-Informed In Silico Investigation of Drugs for the Treatment of Dengue Fever Disease

Viruses ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1540
Author(s):  
Beatriz Sierra ◽  
Ana Cristina Magalhães ◽  
Daniel Soares ◽  
Bruno Cavadas ◽  
Ana B. Perez ◽  
...  
Keyword(s):  
Receptor Antagonist ◽  
Dengue Fever ◽  
In Silico ◽  
Serotonin Receptor ◽  
Neglected Tropical Diseases ◽  
Dengue Infection ◽  
Severe Dengue ◽  
Functional Evaluation ◽  
Atpase Inhibitor ◽  
Serotonin Receptor Antagonist

Transcriptomics, proteomics and pathogen-host interactomics data are being explored for the in silico–informed selection of drugs, prior to their functional evaluation. The effectiveness of this kind of strategy has been put to the test in the current COVID-19 pandemic, and it has been paying off, leading to a few drugs being rapidly repurposed as treatment against SARS-CoV-2 infection. Several neglected tropical diseases, for which treatment remains unavailable, would benefit from informed in silico investigations of drugs, as performed in this work for Dengue fever disease. We analyzed transcriptomic data in the key tissues of liver, spleen and blood profiles and verified that despite transcriptomic differences due to tissue specialization, the common mechanisms of action, “Adrenergic receptor antagonist”, “ATPase inhibitor”, “NF-kB pathway inhibitor” and “Serotonin receptor antagonist”, were identified as druggable (e.g., oxprenolol, digoxin, auranofin and palonosetron, respectively) to oppose the effects of severe Dengue infection in these tissues. These are good candidates for future functional evaluation and clinical trials.

scholarly journals Infectious Disease Relational Data Analysis Using String Grammar Non-Euclidean Relational Fuzzy C-Means

2021 ◽  
Vol 18 (15) ◽  
pp. 8153
Author(s):  
Apiwat Budwong ◽  
Sansanee Auephanwiriyakul ◽  
Nipon Theera-Umpon
Keyword(s):  
High Risk ◽  
Dengue Fever ◽  
Policy Development ◽  
Dengue Infection ◽  
Prevention Policy ◽  
Fuzzy C Means ◽  
North East ◽  
B Virus ◽  
North And South ◽  
Better Than

Statistical analysis in infectious diseases is becoming more important, especially in prevention policy development. To achieve that, the epidemiology, a study of the relationship between the occurrence and who/when/where, is needed. In this paper, we develop the string grammar non-Euclidean relational fuzzy C-means (sgNERF-CM) algorithm to determine a relationship inside the data from the age, career, and month viewpoint for all provinces in Thailand for the dengue fever, influenza, and Hepatitis B virus (HBV) infection. The Dunn’s index is used to select the best models because of its ability to identify the compact and well-separated clusters. We compare the results of the sgNERF-CM algorithm with the string grammar relational hard C-means (sgRHCM) algorithm. In addition, their numerical counterparts, i.e., relational hard C-means (RHCM) and non-Euclidean relational fuzzy C-means (NERF-CM) algorithms are also applied in the comparison. We found that the sgNERF-CM algorithm is far better than the numerical counterparts and better than the sgRHCM algorithm in most cases. From the results, we found that the month-based dataset does not help in relationship-finding since the diseases tend to happen all year round. People from different age ranges in different regions in Thailand have different numbers of dengue fever infections. The occupations that have a higher chance to have dengue fever are student and teacher groups from the central, north-east, north, and south regions. Additionally, students in all regions, except the central region, have a high risk of dengue infection. For the influenza dataset, we found that a group of people with the age of more than 1 year to 64 years old has higher number of influenza infections in every province. Most occupations in all regions have a higher risk of infecting the influenza. For the HBV dataset, people in all regions with an age between 10 to 65 years old have a high risk in infecting the disease. In addition, only farmer and general contractor groups in all regions have high chance of infecting HBV as well.

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