Raja Rajeswari, Radhika Raman, N P Nivek, Syed Rasheed R, Niranjhana Raajasri R D
{"title":"登革热感染的人口趋势。","authors":"Raja Rajeswari, Radhika Raman, N P Nivek, Syed Rasheed R, Niranjhana Raajasri R D","doi":"10.4103/JVBD.JVBD_71_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background objectives: </strong>Dengue fever is one of the most common causes of undifferentiated tropical fevers in hospitalized children across India with the highest recorded morbidity and mortality in children less than 15 years. Although common, there is still a knowledge gap regarding epidemiological factors. The aim was to study the clinical profile and demographic trend over the past 5 years in children with confirmed dengue infection.</p><p><strong>Methods: </strong>Observational study of children admitted as inpatients over the past 5 years and diagnosed with dengue infection by serology. Categorical data were presented as percentages. Data regarding rainfall was collected from rainfall statistics from the Indian Meteorological website and correlated based on the T-test. The incidence of dengue infection in COVID-19 predominant years was analyzed using the correlation plot and trend of severe dengue infection over the years was noted by Line plot.</p><p><strong>Results: </strong>The study showed a positive correlation between rainfall and an increase in the incidence of cases. There were relatively reduced number of cases during COVID-19 which was interpreted from the correlation plot. The Line plot determined the trend of severity of presentation and more severe cases presented in the years 2019, 2021 and 2022.</p><p><strong>Interpretation conclusion: </strong>Other than the pathophysiology, studies to understand the change in the severity of clinical presentation each year could help in augmenting the vector control measures accordingly.</p>","PeriodicalId":17660,"journal":{"name":"Journal of Vector Borne Diseases","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demographic trend in dengue infection.\",\"authors\":\"Raja Rajeswari, Radhika Raman, N P Nivek, Syed Rasheed R, Niranjhana Raajasri R D\",\"doi\":\"10.4103/JVBD.JVBD_71_24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background objectives: </strong>Dengue fever is one of the most common causes of undifferentiated tropical fevers in hospitalized children across India with the highest recorded morbidity and mortality in children less than 15 years. Although common, there is still a knowledge gap regarding epidemiological factors. The aim was to study the clinical profile and demographic trend over the past 5 years in children with confirmed dengue infection.</p><p><strong>Methods: </strong>Observational study of children admitted as inpatients over the past 5 years and diagnosed with dengue infection by serology. Categorical data were presented as percentages. Data regarding rainfall was collected from rainfall statistics from the Indian Meteorological website and correlated based on the T-test. The incidence of dengue infection in COVID-19 predominant years was analyzed using the correlation plot and trend of severe dengue infection over the years was noted by Line plot.</p><p><strong>Results: </strong>The study showed a positive correlation between rainfall and an increase in the incidence of cases. There were relatively reduced number of cases during COVID-19 which was interpreted from the correlation plot. The Line plot determined the trend of severity of presentation and more severe cases presented in the years 2019, 2021 and 2022.</p><p><strong>Interpretation conclusion: </strong>Other than the pathophysiology, studies to understand the change in the severity of clinical presentation each year could help in augmenting the vector control measures accordingly.</p>\",\"PeriodicalId\":17660,\"journal\":{\"name\":\"Journal of Vector Borne Diseases\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Vector Borne Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4103/JVBD.JVBD_71_24\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Vector Borne Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/JVBD.JVBD_71_24","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Background objectives: Dengue fever is one of the most common causes of undifferentiated tropical fevers in hospitalized children across India with the highest recorded morbidity and mortality in children less than 15 years. Although common, there is still a knowledge gap regarding epidemiological factors. The aim was to study the clinical profile and demographic trend over the past 5 years in children with confirmed dengue infection.
Methods: Observational study of children admitted as inpatients over the past 5 years and diagnosed with dengue infection by serology. Categorical data were presented as percentages. Data regarding rainfall was collected from rainfall statistics from the Indian Meteorological website and correlated based on the T-test. The incidence of dengue infection in COVID-19 predominant years was analyzed using the correlation plot and trend of severe dengue infection over the years was noted by Line plot.
Results: The study showed a positive correlation between rainfall and an increase in the incidence of cases. There were relatively reduced number of cases during COVID-19 which was interpreted from the correlation plot. The Line plot determined the trend of severity of presentation and more severe cases presented in the years 2019, 2021 and 2022.
Interpretation conclusion: Other than the pathophysiology, studies to understand the change in the severity of clinical presentation each year could help in augmenting the vector control measures accordingly.
期刊介绍:
National Institute of Malaria Research on behalf of Indian Council of Medical Research (ICMR) publishes the Journal of Vector Borne Diseases. This Journal was earlier published as the Indian Journal of Malariology, a peer reviewed and open access biomedical journal in the field of vector borne diseases. The Journal publishes review articles, original research articles, short research communications, case reports of prime importance, letters to the editor in the field of vector borne diseases and their control.