Impacts on knowledge and testing on HIV in waves of Mozambique surveys with Bayes estimates

Autor: Jeffrey R. Wilson, Di Fang, Adriana Dornelles, Ziwei Chen
Rok vydání: 2020
Předmět:
Male
RNA viruses
Health Knowledge
Attitudes
Practice
Economics
Social Sciences
HIV Infections
Disease
Surveys
Pathology and Laboratory Medicine
Global Health
01 natural sciences
Cultural Anthropology
Geographical Locations
010104 statistics & probability
Bayes' theorem
0302 clinical medicine
Immunodeficiency Viruses
Sociology
Risk Factors
Medicine and Health Sciences
Public and Occupational Health
030212 general & internal medicine
Mozambique
Virus Testing
Sex Characteristics
Multidisciplinary
Test (assessment)
Religion
Medical Microbiology
Research Design
Viral Pathogens
Viruses
Marital status
Medicine
Female
Pathogens
Psychology
Research Article
Adult
Employment
Religious Faiths
Science
MEDLINE
Jobs
Research and Analysis Methods
Microbiology
Islam
03 medical and health sciences
Diagnostic Medicine
Covariate
Retroviruses
Humans
0101 mathematics
Microbial Pathogens
Data collection
Survey Research
Lentivirus
Organisms
Biology and Life Sciences
HIV
Bayes Theorem
Early Diagnosis
Socioeconomic Factors
Anthropology
Labor Economics
People and Places
Africa
Survey data collection
Population Groupings
Demography
Zdroj: PLoS ONE
PLoS ONE, Vol 15, Iss 12, p e0244563 (2020)
ISSN: 1932-6203
Popis: Background It is well known that it is more reliable to investigate the effects of several covariates simultaneously rather than one at time. Similarly, it is more informative to model responses simultaneously, as more often than not, the multiple responses from the same subject are correlated. This is particularly true in the analysis of Mozambique survey data from 2009 and 2018. Method A multiple response predictive model for testing positive for HIV and having sufficient HIV knowledge is modeled to 2009 and 2018 survey data with the use of Bayes estimates. These data are obtained through a hierarchical data structure. The model allows one to address the change in the response to HIV, as it relates to morbidity and to HIV knowledge in Mozambique in the fight against the disease in the last decade. Results A more affluent resident is more likely to test positive, more likely to be more knowledgeable about the disease. Whereas, individuals practicing the Islam faith are less likely to test positive but also less likely to be knowledgeable about the disease. Education, while still a factor, has declined in its impact on testing positive for HIV or being knowledgeable about HIV. Females are more likely to test positive but more likely to be knowledgeable about the disease than men. The rate of impact of affluence on knowledge has increased in the past decade. Marital status (cohabitating or married) showed no impact on the knowledge of the disease. Age had no impact on knowledge suggesting that the message is getting to resident. Conclusions A joint Bayes modeling of correlated binary (testing positive and knowledge about the disease) responses, while accounting for the hierarchy of the data collection, presents an opportunity to extract the extra variation before allocating the variation on the responses as the due of the covariates. The fight against HIV in Mozambique seems to be succeeding. Some knowledge is common among all ages, and Islam religion has a positive effect. While education still shows an influence on the binary responses, it has declined over the last decade.
Databáze: OpenAIRE
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