相关实验视频

Updated: Jun 18, 2025

Monitoring Influenza Virus Survival Outside the Host Using Real-Time Cell Analysis
09:02

Monitoring Influenza Virus Survival Outside the Host Using Real-Time Cell Analysis

Published on: February 20, 2021

3.0K

科特迪瓦不同疫情监测系统的关键特征和感知:在用户中进行跨部门调查

Marta S Palmeirim1,2, Clarisse A Houngbedji3,4, Tanja Barth-Jaeggi1,2

  • 1Swiss Center for International Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.

JMIR public health and surveillance
|August 1, 2024
PubMed
概括

用户对科特迪瓦传染病监测工具的看法揭示了强项和弱项. 索尔马斯提供全面的功能,DHIS2提供频繁的报告,MAGPI易于使用,为公共卫生战略提供信息.

关键词:
在 COVID-19 疫情中,科特迪瓦 - 科特迪瓦 - 科特迪瓦在DHIS2中使用DHIS2.地区卫生信息软件 2在MAGPI中,它是最重要的.政策制定者 政策制定者索尔马斯 (SORMAS) 是一个监视疫情响应管理和分析系统跨截面研究是跨截面研究.描述性地分析分析.疾病监测 疾病监测医疗保健系统 医疗保健系统卫生官员,卫生官员.医疗保健系统 医疗保健系统传染病是一种传染性疾病.传染病是一种传染性疾病.主要特征 关键特征疫情爆发监测监测疫情爆发的情况.疫情爆发监测系统的监测系统政策决策 决策 政策决策 决策政策制定者政策制定者公共卫生公共卫生.用户的感知感知.

更多相关视频

Remote Laboratory Management: Respiratory Virus Diagnostics14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.1K
An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

18.5K

相关概念视频

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
83
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:
119
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
690
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
363
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:
342
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
415