A case-control study to determine the risk factors of dengue fever in Chattogram, Bangladesh

Rahman, Md. Sahidur; Mehejabin, Fatema; Rahman, Mohammad Arafat; Rashid, Rumana

doi:10.1016/j.puhip.2022.100288

Cited by 3 publications

(1 citation statement)

References 29 publications

(37 reference statements)

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“…The study of risk factors involved in a disease is necessary in order to analyse the outbreak (8) . Especially regarding dengue transmission, it is imperative to comprehend the dynamics of vector-borne diseases (9) .…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and its Stability Analysis of an SEIR Model to Control Dengue by Segregating the Infective: An Approach for Efficient Resource Allocation

Yagan,

Jasmine

2024

IJST

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Objectives: Many research deals study on modeling the spread of dengue virus disease. The study dealing mathematical model to influence the concept of segregating infective is very important as it makes an organised practice of treatment which enlightens civilization. This article focuses on the same and frames a model with a proper analysis. Methods: BhirkoffRhota theorem helps in proving the boundedness of the model. By using the Next-Generation matrix the expression for Reproduction number is determined. The Routh-Hurwitz stability criterion is used to reveal the Local Stability of the proposed model. The aid of Lyapunov-LaSalle's principle proves the Global Stability. Findings: The proposed model is found to be positive and also bounded. Moreover, the equilibrium points exists and stable locally and globally. The numerical simulation shows that at the disease-free equilibrium and at the endemic equilibrium proving the stability of the model numerically. The comparative analysis of the model results in revealing the fact that the proposed model controls the infective better than the usual model. Novelty: The article differs from the usual model by incorporating the idea of categorizing the infected population into 3 phase namely febrile, critical and convalescent concluding that the use of proposed model helps in effective treatment and in efficient management of hospital resources in a systematic way. Keywords: Epidemic, Treatment Class, SEIR model, Jacobian matrix, Sensitivity index

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Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and its Stability Analysis of an SEIR Model to Control Dengue by Segregating the Infective: An Approach for Efficient Resource Allocation

Yagan,

Jasmine

2024

IJST

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Dengue Dynamics in Bangladesh: Unveiling Insights Through Statistical and Machine Learning Analysis

Mortuza Ahmmed,

Ashraful Babu,

Rahman

et al. 2024

Lecture Notes in Networks and Systems

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Dengue infection during pregnancy and the occurrence of pathological neonatal outcome: a systematic review and meta-analysis

Goicochea-Ríos,

OTINIANO,

Rojas-Infantas

et al. 2024

F1000Res

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Background Dengue infection during pregnancy increases the risk of maternal and neonatal complications; therefore, the objective of this research is to determine these outcomes and describe the clinical manifestations of the infection. Methods A systematic review of studies published in PubMed, MEDLINE, LILACS, Web of Science, Scopus and thesis repositories published between 2013 and October 2023 was performed. DeCS and MeSH dengue and maternal-neonatal outcome were used. Thirteen studies were selected and the New Castle-Ottawa scale was used to assess their quality. Mantel-Haenszel hazard ratios were calculated to report the overall effect size using random-effects models. All analyses were performed in Rev Man 5.4.1 Results The 13 studies involved a population of 18,724 pregnant women, with cohorts ranging from 25 to 17,673 pregnant women. The most frequent outcomes in the pregnant women were cesarean section and postpartum hemorrhage, and in the newborns, preterm delivery and low birth weight. According to the New Castle-Ottawa scale, six studies were considered low risk and seven studies moderate risk. Dengue is a risk factor for postpartum hemorrhage (OR: 2.24), premature rupture of membranes (OR: 1.04) and cesarean section (OR: 1.13). It could not be concluded that dengue is a risk factor for the neonatal outcomes studied. The clinical picture of pregnant women with dengue was predominantly fever, abdominal pain, vomiting and nausea, anemia, dyspnea and myalgia. Conclusions Pregnancy-related changes in the immune, cardiovascular and coagulation systems, among others, increase the probability of adverse maternal and neonatal outcomes in case of DENV infection, such as postpartum hemorrhage, premature rupture of membranes, cesarean section, low birth weight and preterm delivery. Pregnant women should be considered a population at risk and should be included in dengue control, diagnosis and treatment policies.

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A case-control study to determine the risk factors of dengue fever in Chattogram, Bangladesh

Cited by 3 publications

References 29 publications

Mathematical Modeling and its Stability Analysis of an SEIR Model to Control Dengue by Segregating the Infective: An Approach for Efficient Resource Allocation

Mathematical Modeling and its Stability Analysis of an SEIR Model to Control Dengue by Segregating the Infective: An Approach for Efficient Resource Allocation

Dengue Dynamics in Bangladesh: Unveiling Insights Through Statistical and Machine Learning Analysis

Dengue infection during pregnancy and the occurrence of pathological neonatal outcome: a systematic review and meta-analysis

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