相关实验视频

Updated: May 25, 2025

Chemical Cartography Approaches to Study Trypanosomatid Infection
08:21

Chemical Cartography Approaches to Study Trypanosomatid Infection

Published on: January 21, 2022

2.2K

关于海地被忽视的热带疾病的研究:科学测量分析,1923-2022年

Melicile Glesil1, Adjoane Maurício Silva Maciel2,3, Taynara Lais Silva1

  • 1Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza, Brasil.

Cadernos de saude publica
|February 26, 2025
PubMed
概括

海地对被忽视的热带疾病 (NTD) 的科学成果有限,最近的增长,但主要由外国作者主导. 研究表明,需要在NTD研究中加强国家合作.

更多相关视频

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus10:35

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

2.9K
Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis07:59

Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis

Published on: May 18, 2016

7.7K

相关概念视频

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
283
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
102
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
158