Related Experiment Video
Updated: Feb 7, 2026

Particle Agglutination Method for Poliovirus Identification
Published on: April 20, 2011
Epidemiological serosurvey of poliovirus in Guangdong, China: A cross-sectional study
Qiu Tan1, Qi Zhu1, Huanying Zheng1
1a Guangdong Provincial Center for Disease Control and Prevention , Guangzhou , Guangdong , China.
Abstract:
A cross-sectional study for poliovirus seroprevalence in Guangdong was carried out in 2014, just before a change in polio vaccine commenced in 2015. The aim of the study was to test whether polio immunity level was high enough to satisfy the polio vaccine switch. A total of 6339 people were tested for poliovirus neutralization antibodies (NA). Overall NA seropositivity for PV1, PV2 and PV3 were 95.2%, 94.9% and 88.7%, and the respective geometric mean titer (GMT) were 82.9, 55.8, and 26.3, respectively. There were statistically significant differences in the positive rates and GMT of the 3 serotypes and PV3 had relatively lower positive rates and GMT. The highest seropositivity and GMT were observed in the 1-9 year-old age group. The positive rates of NA and GMT for PV1, PV2 and PV3 in the western region of Guangdong were lower than those of other three regions. The results of this study showed that the population of Guangdong province had a high polio immunity level, a stable base for a polio vaccine switch.
More Related Videos
08:10A Liquid Phase Affinity Capture Assay Using Magnetic Beads to Study Protein-Protein Interaction: The Poliovirus-Nanobody Example
Published on: May 29, 2012
10:11Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies
Published on: October 22, 2014
Related Concept Videos
Cross-Sectional Research
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Confounding in Epidemiological Studies
Bias in Epidemiological Studies
Finding Volume Using Cross-Sectional Area
Profile Leveling and Cross Sections