Evidence map›Paper›PMID 33083811›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Estimating the impact of disruptions due to COVID-19 on HIV transmission and control among men who have sex with men in China.

Ross D Booton, Gengfeng Fu, Louis MacGregor, Jianjun Li, Jason J Ong, Joseph D Tucker, Katy M E Turner, Weiming Tang, Peter Vickerman, Kate M Mitchell

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 22 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Ross D BootonUniversity of Bristol, Bristol, United Kingdom.
Gengfeng FuJiangsu provincial center for disease control and prevention, Nanjing, Jiangsu province, China.
Louis MacGregorUniversity of Bristol, Bristol, United Kingdom.
Jianjun LiJiangsu provincial center for disease control and prevention, Nanjing, Jiangsu province, China.
Jason J OngSocial Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China.
Joseph D TuckerSocial Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China.
Katy M E TurnerUniversity of Bristol, Bristol, United Kingdom.
Weiming TangSocial Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China.
Peter VickermanUniversity of Bristol, Bristol, United Kingdom.
Kate M MitchellMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
University of Bristol · GBJiangsu Provincial Center for Disease Control and Prevention · CNUniversity of North Carolina at Chapel Hill · USLondon Centre for Neglected Tropical Disease Research · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Spurring Innovation in HIV Testing and Linkage: A Crowdsourcing Approach -Diversity SupplementR01AI114310 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TUCKER, JOSEPH DAVID, WEI, CHONGYI · 2014 to 2018
$3.3M
Mentoring Multidisciplinary Global HIV Patient-Oriented ResearchK24AI143471 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph David Tucker · 2019 to 2026
$1.4M
NIAID NIH HHS K24 AI143471NIAID NIH HHS R01 AI114310Wellcome Trust
6 · The paper itself

Abstract

Introduction The COVID-19 pandemic is impacting HIV care globally, with gaps in HIV treatment expected to increase HIV transmission and HIV-related mortality. We estimated how COVID-19-related disruptions could impact HIV transmission and mortality among men who have sex with men (MSM) in four cities in China. Methods Regional data from China indicated that the number of MSM undergoing facility-based HIV testing reduced by 59% during the COVID-19 pandemic, alongside reductions in ART initiation (34%), numbers of sexual partners (62%) and consistency of condom use (25%). A deterministic mathematical model of HIV transmission and treatment among MSM in China was used to estimate the impact of these disruptions on the number of new HIV infections and HIV-related deaths. Disruption scenarios were assessed for their individual and combined impact over 1 and 5 years for a 3-, 4- or 6-month disruption period. Results Our China model predicted that new HIV infections and HIV-related deaths would be increased most by disruptions to viral suppression, with 25% reductions for a 3-month period increasing HIV infections by 5-14% over 1 year and deaths by 7-12%. Observed reductions in condom use increased HIV infections by 5-14% but had minimal impact (<1%) on deaths. Smaller impacts on infections and deaths (<3%) were seen for disruptions to facility testing and ART initiation, but reduced partner numbers resulted in 11-23% fewer infections and 0.4-1.0% fewer deaths. Longer disruption periods of 4 and 6 months amplified the impact of combined disruption scenarios. When all realistic disruptions were modelled simultaneously, an overall decrease in new HIV infections was always predicted over one year (3-17%), but not over 5 years (1% increase - 4% decrease), while deaths mostly increased over one year (1-2%) and 5 years (1.2 increase - 0.3 decrease). Conclusions The overall impact of COVID-19 on new HIV infections and HIV-related deaths is dependent on the nature, scale and length of the various disruptions. Resources should be directed to ensuring levels of viral suppression and condom use are maintained to mitigate any adverse effects of COVID-19 related disruption on HIV transmission and control among MSM in China.

Identifiers

PMID33083811
PMCPMC7574267
OpenAlexW3092939759

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.