Dengue is a vector-borne viral disease usually transmitted by Aedes mosquitoes. Around the world, the relationship between local vector density and frequency of dengue cases is being explored and needs further evidence. This study aimed to analyze the potential spatial relationships between the dengue vector (Aedes aegypti) and dengue cases in the megacity of Bangladesh during the 2019 dengue outbreak. Vector density measures were used to estimate spatial associations with dengue case distribution. Location was determined for 364 dengue cases who were admitted to Dhaka Medical College Hospital over a period of 4 months. Data were collected using a semi-structured questionnaire, and prior consent was ensured before participation. The Moran global index, Getis-Ord Gi∗, ordinary least squares regression, geographically weighted regression and count data regression methods were used for spatial analysis. We found that dengue case distribution was not associated with immature Aedes aegypti mosquito (larvae) density across the city. The relationship between larval density measured by the Breteau Index (BI) and House Index (HI) with dengue cases was nonstationary and not statistically significant. The location of dengue cases appears to be unrelated to vector distribution and vector density. These findings should prompt the search for other transmission risk factors.

Introduction: It is important to recognise inflammatory back pain (IBP) for early diagnosis of ankylosing spondylitis (AS). The aims of this study were to develop a valid, reliable Bengali IBP tool and to assess the performance of different IBP criteria sets, including Calin, Berlin set 8a and 7b, and new Assessment of SpondyloArthritis International Society (ASAS) expert criteria, in radiographic axial spondyloarthritis (axSpA) and nonradiographic axSpA. Method: This case-control study was performed in three phases. The first phase involved development of an IBP tool by adding the fifth parameter of ASAS expert criteria to the National Health and Nutrition Examination Survey (NHANES) 2009–2010 arthritis questionnaires; the second phase assessed reliability by test-retest statistics among 87 participants at a 5-day interval. Finally, according to the imaging arm of ASAS axSpA classification criteria, 50 patients with axSpA were included as cases while 50 patients with chronic mechanical back pain (MBP) were included as a control. Results: The presence of IBP with SpA versus patients with MBP, detected by Calin criteria, were 76.0% versus 10.0%, by Berlin 8a were 72.0% versus 6.0%, by Berlin 7b were 58.0% versus 12.0%, and by ASAS were 64.0% versus 18.0%, respectively. Results suggested the Calin criteria set has the highest sensitivity (76.0%) and Berlin set 8a has the highest specificity (78.9%) in the differentiation of IBP from MBP. Conclusion: The performance of the new ASAS criteria was analogous to the other existing criteria sets. The highest positive likelihood ratio and odds ratio were found for Berlin set 8a criteria. The Berlin set 8a criteria can still be used in primary care practice at the first screening because of high sensitivity.

Background: Coronavirus disease 2019 (COVID-19) is a health crisis throughout the world. The widely used Real-time Reverse Transcriptase Polymerase Chain Reaction (rRT-PCR) method is most capable of describing the patient’s condition. Comorbidities can make patients more critical.Methods: In this study, we shed light on the low cycle threshold (Ct) value of the N gene in the rRT-PCR test of the COVID-19 patients who had comorbidities, cure rate, and the needfulness of ICU (Intensive Care Unit) management. We had conducted the research in the Molecular Biology Laboratory of Chittagong Medical College between May and August 2020, then took the telephone interview with 300 positive patients who fulfilled the study criteria. We applied cluster-based logistic regression to analyze the data.Results: Low Ct value of the N gene found 1.324 times more in Type 2 DM patients and 1.871 times higher in hypertensive patients, and hospitalized patients are 2.480 times more vulnerable to shift in ICU.Conclusions: While infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) frequently causes severe diseases, suspected cases with comorbid conditions should go through the rRT-PCR as early as possible.

Objective: To delineate the survival rate of the patients with coronavirus disease 2019 (COVID-19) who did the diagnostic tests lately after the development of symptoms. The aim is to determine the socio-demographic risk factors associated with the delay of the detection of COVID-19 patients. Methods: For this cross-sectional study, 300 patients were selected who were diagnosed as COVID-19 patients in the Molecular Biology Laboratory of Chittagong Medical College, Chattogram, Bangladesh. Data were collected from May to July 2020. Clinical characteristics were obtained from over phone interviews and laboratory diagnosis by Real-time Reverse Transcriptase Polymerase Chain Reaction (rRT-PCR). Cox proportional hazard model is applied to estimate risk factors affecting the delay of detection of COVID-19 patients.Result: Female mortality rate was 44.9% higher compared to males, graduates died 32% more than undergraduates, unmarried peoples’ death rate were 56% more than married and those who were in traveling irregularly and in contact with symptomatic patients, were 86% more died than non-travelers.Conclusion: Early diagnosis of COVID-19 can save a huge amount of lives and special attention should be emphasized on the significant explanatory variable.

Background: Coronavirus disease 2019 (COVID-19) is a health crisis throughout the world. The widely used Real-time Reverse Transcriptase Polymerase Chain Reaction (rRT-PCR) method is most capable of describing the patient’s condition. Comorbidities can make patients more critical.Methods: In this study, we shed light on the low cycle threshold (Ct) value of the N gene in the rRT-PCR test of the COVID-19 patients who had comorbidities, cure rate, and the needfulness of ICU (Intensive Care Unit) management. We had conducted the research in the Molecular Biology Laboratory of Chittagong Medical College between May and August 2020, then took the telephone interview with 300 positive patients who fulfilled the study criteria. We applied cluster-based logistic regression to analyze the data.Results: Low Ct value of the N gene found 1.324 times more in Type 2 DM patients and 1.871 times higher in hypertensive patients, and hospitalized patients are 2.480 times more vulnerable to shift in ICU.Conclusions: While infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) frequently causes severe diseases, suspected cases with comorbid conditions should go through the rRT-PCR as early as possible.