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Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
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:
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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...

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Related Experiment Video

Updated: Jun 26, 2026

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Health worker densities and immunization coverage in Turkey: a panel data analysis.

Andrew D Mitchell1, Thomas J Bossert, Winnie Yip

  • 1Harvard School of Public Health, Boston, Massachusetts, USA. amitchel@hsph.harvard.edu

Human Resources for Health
|December 24, 2008
PubMed
Summary

Human resources for health (HRH) density is linked to vaccination coverage in Turkey. While initially positive, the association between HRH and immunization rates became negative over time, particularly in rural areas.

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Last Updated: Jun 26, 2026

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Area of Science:

  • Public Health
  • Health Services Research
  • Global Health

Background:

  • Childhood immunization coverage is crucial for reducing mortality.
  • Existing research suggests a positive correlation between healthcare worker densities and immunization rates.
  • Limited data exists on the relationship between human resources for health (HRH) and vaccination coverage in developing countries over time.

Purpose of the Study:

  • To examine the association between HRH densities and Expanded Programme on Immunization (EPI) coverage in Turkey between 2000 and 2006.

Main Methods:

  • Utilized provincial-level data on HRH densities, vaccination coverage, and socioeconomic/demographic factors in Turkey.
  • Employed panel data regression methodologies, including random and fixed effects models, for analysis.

Main Results:

  • Combined HRH density (physicians, nurses, midwives, health officers) significantly correlated with vaccination rates, though the relationship shifted from positive to negative over time.
  • Physician and health officer densities showed significant associations mirroring aggregate HRH trends, while nurse/midwife densities were not consistently significant.
  • HRH densities had a stronger relationship with vaccination coverage in more rural provinces compared to densely populated areas.

Conclusions:

  • Evidence suggests a complex relationship between HRH densities and vaccination rates in Turkey, influenced by factors beyond simple per capita counts.
  • Health sector policies and national economic events (e.g., financial crisis) may have impacted HRH incentives and the observed HRH-vaccination link.
  • Further research is needed to validate these findings and understand the nuances of health worker density's impact on service provision globally.