|
[1]
|
Variations in sexual network connectivity may explain dramatic variations in sexually transmitted infection prevalence between populations and over time: a selected four-country analysis
F1000Research,
2022
DOI:10.12688/f1000research.24968.2
|
|
|
|
|
[2]
|
Prevalence of syphilis, neurosyphilis and associated factors in a cross-sectional analysis of HIV infected patients attending Bugando Medical Centre, Mwanza, Tanzania
BMC Public Health,
2020
DOI:10.1186/s12889-020-09984-9
|
|
|
|
|
[3]
|
Variations in sexual network connectivity may explain dramatic variations in sexually transmitted infection prevalence between populations and over time: a four-country analysis
F1000Research,
2020
DOI:10.12688/f1000research.24968.1
|
|
|
|
|
[4]
|
It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
F1000Research,
2019
DOI:10.12688/f1000research.17148.2
|
|
|
|
|
[5]
|
It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
F1000Research,
2018
DOI:10.12688/f1000research.17148.1
|
|
|
|
|
[6]
|
Strong associations between national prevalence of various STIs suggests sexual network connectivity is a common underpinning risk factor
BMC Infectious Diseases,
2017
DOI:10.1186/s12879-017-2794-x
|
|
|
|
|
[7]
|
Strong Country Level Correlation between Syphilis and HSV-2 Prevalence
Journal of Sexually Transmitted Diseases,
2016
DOI:10.1155/2016/5959032
|
|
|
|
|
[8]
|
The Global Epidemiology of Syphilis in the Past Century – A Systematic Review Based on Antenatal Syphilis Prevalence
PLOS Neglected Tropical Diseases,
2016
DOI:10.1371/journal.pntd.0004711
|
|
|
|