A Study on Dengue Fever in Bangladesh: Predicting the Probability of Dengue Infection with External Behavior with Machine Learning

2021 ◽  
Author(s):  
Md. Sanzidul Islam ◽  
Sharun Akter Khushbu ◽  
Akm Shahariar Azad Rabby ◽  
Touhid Bhuiyan
Keyword(s):  
Machine Learning ◽  
Dengue Fever ◽  
Dengue Infection ◽  
External Behavior

scholarly journals Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Parag Dharap ◽  
Sebastien Raimbault
Keyword(s):  
Machine Learning ◽  
Dengue Fever ◽  
Vivax Malaria ◽  
Dengue Infection ◽  
Reference Method ◽  
Malarial Parasite ◽  
Parasite Life Cycle ◽  
Ns1 Antigen ◽  
Antigen Tests ◽  
Clinical Conditions

Abstract Background Automated detection of malaria and dengue infection has been actively researched for more than two decades. Although many improvements have been achieved, these solutions remain too expensive for most laboratories and clinics in developing countries. The low range HORIBA Medical Haematology Analyzer, Yumizen H550, now provides dedicated flags ‘vivax malaria’ and ‘dengue fever’ in routine blood testing, developed through machine learning methods, to be used as a screening tool for malaria and dengue fever in endemic areas. This study sought to evaluate the effectiveness of these flags under real clinical conditions. Methods A total of 1420 samples were tested using the Yumizen H550 Haematology Analyzer, including 1339 samples from febrile patients among whom 202 were infected with malaria parasites (Plasmodium vivax only: 182, Plasmodium falciparum only: 18, both: 2), 210 were from febrile dengue infected patients, 3 were from afebrile dengue infected patients and 78 were samples from healthy controls, in an outpatient laboratory clinic in Mumbai, India. Microscopic examination was carried out as the confirmatory reference method for detection of malarial parasite, species identification and assessing parasitaemia based on different stages of parasite life cycle. Rapid diagnostic malarial antigen tests were used for additional confirmation. For dengue infection, NS1 antigen detection by ELISA was used as a diagnostic marker. Results For the automated vivax malaria flag, the original manufacturer’s cut off yielded a sensitivity and specificity of 65.2% and 98.9% respectively with the ROC AUC of 0.9. After optimization of cut-off value, flag performance improved to 72% for sensitivity and 97.9% specificity. Additionally it demonstrated a positive correlation with increasing levels of parasitaemia. For the automated dengue fever flag it yielded a ROC AUC of 0.82 with 79.3% sensitivity and 71.5% specificity. Conclusions The results demonstrate a possibility of the effective use of automated infectious flags for screening vivax malaria and dengue infection in a clinical setting.

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.

scholarly journals Oculogyric Crisis – Atypical Presentation in Patient with Dengue Fever

2021 ◽  
pp. 19-23
Author(s):  
Saurabh Rajkumar Jain ◽  
Jitendra D. Lakhani ◽  
Pramod R. Jha
Keyword(s):  
Dengue Fever ◽  
Dengue Infection ◽  
Neurological Complications ◽  
Oculogyric Crisis ◽  
Co Morbidity ◽  
Wide Range ◽  
Chief Complaints ◽  
Plasma Leakage ◽  
Multi Organ Dysfunction Syndrome ◽  
Rule Out

Here we are presenting a case of dengue fever presented with an atypical symptom of “oculogyric crisis” with features of multi organ dysfunction syndrome. Increased vascular permeability, plasma leakage, haemorrhagic manifestations, and thrombocytopenia are charecteristics of dengue fever.  A 19 year old male patient, with no co-morbidity came to Dhiraj hospital with chief complaints of  fever which was high grade & intermittent, it is associated with chills & rigours for 5 days. Also complain of abdominal pain over epigastric region, dull aching non radiating associated with decreased appetite since 5 days. Dengue infection has a wide range of clinical features. Neurological complications can occur in any spectrum of dengue infection.  The diagnosis of oculogyric crisis is majorly clinical and it requires a focused detailed history and detailed physical examination to find out possible triggers for the crisis and to rule out other reasons for abnormal eye movements.

scholarly journals Prospective study on the clinico-hematological profile of dengue fever patients in Navi Mumbai

2021 ◽  
Vol 8 (4) ◽  
pp. 569
Author(s):  
Prachi Sankhe ◽  
Priyanka Jadhav ◽  
Praveen Meduri
Keyword(s):  
Dengue Fever ◽  
Prospective Observational Study ◽  
Clinical Laboratory ◽  
Dengue Infection ◽  
Radiological Findings ◽  
Hematological Profile ◽  
Entire Duration ◽  
Wbc Count ◽  
Almost All ◽  
Biochemical Abnormalities

Background: It has been seen that epidemiology and clinical presentation of dengue infection differs significantly across geographical areas. The present study was done to study clinico-hematological profile of patients with dengue fever in Navi Mumbai, Maharashtra.Methods: This prospective observational study was conducted at a tertiary level teaching hospital in Navi Mumbai. All patients were observed over their entire duration of their hospital stay (up to 7 days). We included adult patients of both gender (males or females) who were admitted with clinically and serological diagnosed dengue fever, consenting to participate in the study.  The clinical, laboratory and radiological findings of the patients were noted.Results: All 80 patients presented with fever while 71.25% had myalgia. Retro-orbital pain, rash and vomiting was observed in 38%, 26% and 26% respectively, whereas 23.75% patients were having cough and bleeding from any site. Three fourths of the patients were diagnosed with dengue, 18.75% and 6.25% were diagnosed with DHF and DSS. respectively. Hepatosplenomegaly was increasing from day 1 (9%) to 6th (60%) and 7th (60%) day. Mean haemoglobin levels and haematocrit started increasing from second day onwards, while WBC count and platelet count increased gradually from first day onwards. Splenomegaly was diagnosed in 3.75% of patients while hepatosplenomegaly and fatty liver was observed in 8.75% and 2.5% respectively. There were two deaths, both were cases of DSS.Conclusions: Almost all the patients included in our study showed both haematological and biochemical abnormalities. 

scholarly journals Intraoperative Post Partum Hemorrhage in a Patient with Dengue Fever

2021 ◽  
Vol 38 (1) ◽  
Author(s):  
Usama Ahmed ◽  
Asiyah Aman
Keyword(s):  
Dengue Fever ◽  
Post Partum ◽  
Dengue Infection ◽  
Massive Hemorrhage ◽  
Anesthetic Induction ◽  
Post Partum Hemorrhage ◽  
Creative Commons ◽  
Perioperative Phase ◽  
Mild Fever ◽  
Open Access Article

A 33 year old obstetric patient with mild fever of undiagnosed etiology underwent emergency caesarean section under general anesthesia. She had platelet count of 98,000 per microliter and increased APTT of 37.8 s at the time of surgery. After uneventful anesthetic induction and delivery of fetus, slow and oozing type of bleeding led to massive hemorrhage. Patient remained vitally stable throughout perioperative phase and was extubated. Next day, patient’s dengue IgM antibody was reported positive. Neonate was well and his dengue test was negative. Pregnant women are at high risk of developing severe complications of dengue fever with unclear mechanisms related to impaired coagulation. Regional anesthesia may not have safe outcome due to dengue infection. doi: https://doi.org/10.12669/pjms.38.1.4519 How to cite this:Ahmed U, Aman A. Intraoperative Post Partum Hemorrhage in a Patient with Dengue Fever. Pak J Med Sci. 2022;38(1):---------.  doi: https://doi.org/10.12669/pjms.38.1.4519 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Clinical profile of dengue fever in children: analysis of 2017 outbreak from Central Kerala, India

2018 ◽  
Vol 5 (6) ◽  
pp. 2265 ◽  
Author(s):  
Senthil Kumar K. ◽  
Rajendran N. K. ◽  
Ajith Brabhukumar C.
Keyword(s):  
Dengue Fever ◽  
Dengue Infection ◽  
Tertiary Care ◽  
Hemorrhagic Fever ◽  
Warning Signs ◽  
Clinical Profile ◽  
Severe Dengue ◽  
High Morbidity ◽  
Care Hospital ◽  
High Grade Fever

Background: In India, dengue epidemics are becoming more frequent (WHO, 2008). The majority of dengue viral infections are self-limiting, but complications may cause high morbidity and mortality. The objective of this study is to assess the clinical profile of the dengue infection in children less than 15 years of age and to evaluate the outcomes of dengue fever from March 2017 to July 2017 at the Pediatric Department of Karuna Medical College, the tertiary care hospital in Palakkad.Methods: In this retrospective study, medical records were reviewed and analyzed. Patients with suspected dengue infection were classified further into 2 groups, Dengue fever (probable dengue, dengue with warning signs) and ‘Severe Dengue’ (dengue hemorrhagic fever and/or dengue shock syndrome (DHF/DSS) according to WHO.Results: A total of 77 cases were classified into 67 (87%) non-severe and 10 (13%) severe dengue cases. The most common age of presentation was above 10 yrs. The mean age of admission was 8.9 yrs. The most common presenting symptom was fever seen in 93% followed by vomiting in 68%. Elevation in Aspartate transaminase (SGOT) and thrombocytopenia were found in 32.4 %.Conclusions: High grade fever, vomiting, abdominal pain and skin rash with normal or low platelet count were the presenting features. Early diagnosis, monitoring and prompt supportive management can reduce mortality.

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