Katherine Horton
@kchorton.bsky.social
480 followers 350 following 79 posts
Infectious disease epidemiologist | Assistant Professor in #TB modelling @lshtm.bsky.social | Mama to 👦👦👦🐶
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Reposted by Katherine Horton
reinhouben.bsky.social
In a new preprint (NOT PEER REVIEWED) we continue to explore the challenge of overtreatment in community screening. It seems the benefits of TB treatment far outweigh the harms, especially once we accept that sputum culture is not perfect. Important food for thought. www.medrxiv.org/content/10.1...
Do no harm - re-evaluating the risks of overtreatment in community-wide tuberculosis screening
Background Community-wide screening is a crucial strategy to end tuberculosis (TB), but a common concern is potential harm from overtreatment following false positive diagnoses. However, current refer...
www.medrxiv.org
Reposted by Katherine Horton
ruthbowness.bsky.social
PhD opportunity: New approaches to modelling TB transmission in low-incidence settings.
Supervised by Ellen Brooks-Pollock (Bristol), me (Bath) & Rajeka Lazarus (Bristol)
Apply: www.findaphd.com/phds/project...
Deadline 20 Oct
#PhD #Tuberculosis #Epidemiology #InfectiousDisease
New approaches for modelling tuberculosis transmission in low incidence settings at University of Bristol on FindAPhD.com
PhD Project - New approaches for modelling tuberculosis transmission in low incidence settings at University of Bristol, listed on FindAPhD.com
www.findaphd.com
kchorton.bsky.social
Our systematic review of rural/urban differences in #TB prevalence shows evidence of rapidly urbanising epidemics in many settings, with differences across countries and regions.

Link to preprint below ⬇️
petermacp.bsky.social
Are there more people with #TB in cities or rural areas?

In a 🚨new🚨 preprint (NOT PEER REVIEWED) we modelled urban-rural TB trends from 2000-2023 in 26 countries with 4.6 billion people.

www.medrxiv.org/content/10.1...
A plot, facetted by country, showing the percentage of TB that is urban and rural between 2000-2023 A forest plot, showing estimates of the urban to rural TB prevalence in 46 studies
Reposted by Katherine Horton
madhupai.bsky.social
Sad (but not surprised) to read the latest Global Health 50/50 report, amidst turmoil in global health, erosion of democracy, withdrawal from multi-lateralism, aid cuts, attacks on science, DEI, human rights

@kentbuse.bsky.social @jocalynclark.bsky.social

global5050.org/2025-report/
Reposted by Katherine Horton
petermacp.bsky.social
Men are more than twice as likely as women to have prevalent #TB.

We did updated meta-analysis including over 4million people in 99 surveys.

Despite increasing focus on gender equitable TB responses, this gap has widened since we last assessed these data over a decade ago.
kchorton.bsky.social
1/ It’s been 10 years (😮) since we reported that #TB prevalence was twice as high in men as in women.

📢 Our new preprint explores how sex differences have shifted with more recent national prevalence surveys and growing attention to #gender responsive TB prevention and care.

bit.ly/4gqP1LH
Differences in Tuberculosis Prevalence by Sex Over 1993-2024: A Systematic Review and Meta-Analysis
Background: Tuberculosis (TB) prevalence is higher among men than women in low- and middle-income countries (LMICs). However, summary measures of sex difference
bit.ly
kchorton.bsky.social
6/ @petermacp.bsky.social and I seem to be the only coauthors on Bluesky, but this work comes from a great team across @hsph.harvard.edu @uofglasgow.bsky.social @tb-lshtm.bsky.social @lshtm-tbmod.bsky.social
kchorton.bsky.social
5/ These findings show that, despite calls for gender responsive TB prevention and care, disparities have increased over the past three decades. Effective strategies to reduce men’s risk of TB and to engage men in TB prevention and care remain essential to end TB.

NOT PEER REVIEWED
kchorton.bsky.social
4/ The stability of pooled estimates doesn't mean sex ratios have remained consistent. We found evidence that male-to-female ratios likely increased 1.6% (95% CrI -1.0-6.2%) annually over the period 1994–2021, with the greatest increase in the Western Pacific region.

NOT PEER REVIEWED
kchorton.bsky.social
3/ We fitted multi-level Bayesian regression models to estimate a pooled male-to-female prevalence ratio of 2.21 (95% CrI 1.94-2.50) for bacteriologically-confirmed TB.

That's the same point estimate as our previous review, but the two studies used different analytical methods.

NOT PEER REVIEWED
kchorton.bsky.social
2/ We updated our systematic review and identified 99 TB prevalence surveys reporting sex-disaggregated results (with >4 million participants) conducted between 1993 and 2024 in 33 low- or middle-income countries.

NOT PEER REVIEWED
kchorton.bsky.social
1/ It’s been 10 years (😮) since we reported that #TB prevalence was twice as high in men as in women.

📢 Our new preprint explores how sex differences have shifted with more recent national prevalence surveys and growing attention to #gender responsive TB prevention and care.

bit.ly/4gqP1LH
Differences in Tuberculosis Prevalence by Sex Over 1993-2024: A Systematic Review and Meta-Analysis
Background: Tuberculosis (TB) prevalence is higher among men than women in low- and middle-income countries (LMICs). However, summary measures of sex difference
bit.ly
kchorton.bsky.social
Fantastic work from @aschwalbc.bsky.social now out in @plosglobalpublichealth.org. Check out his thread below for more details!
aschwalbc.bsky.social
Our work on modelling population-wide screening in Viet Nam is now available in PLOS Global Public Health! tinyurl.com/3ymhuj5s
Reposted by Katherine Horton
kchorton.bsky.social
This work provides an important update to previous comparisons of #TB interventions across the prevention and care cascade and was made possible by a massive team effort from @aschwalbc.bsky.social Martin Harker @laragosce.bsky.social Elena Venero-Garcia, Lily O'Brien ... 8/9
kchorton.bsky.social
Our results show interventions with meaningful epidemiological impact can also be cost-effective, but need to target populations beyond routinely diagnosed individuals or their households. Achieving such potential requires a priority shift in funding, policy, and product development. 7/9
kchorton.bsky.social
ICERs varied widely by intervention and across countries. Shortened DR-TB treatment was cost-saving in all 3 countries, with the next lowest ICERs for screening in prisons [BRA] (US$72/DALY) and nutritional supplementation [IND] (US$167/DALY). 6/9
Incremental Cost-Effectiveness Ratios, with DALYs averted on x-axis and incremental budget (USD) on y-axis, for 3 countries.

Error bars show 95% uncertainty intervals for DALYs averted (horizontal lines) and incremental budget (vertical lines). Dashed line shows cost-effectiveness thresholds. Vacc = Vaccination, TPT = Tuberculosis Preventive Treatment, Comm Scr = Community-wide screening (low diagnostic cost), Impr Diag = Improved diagnosis in clinics, DST for all = Drug Susceptibility Testing for all clinic-diagnosed individuals, Short DS = Shortened treatment for Drug Susceptible TB, Short DR = Shortened treatment for Drug Resistant TB, Pri Scr = Mass screening in incarcerated individuals, Nutr = Nutritional support for households of individuals receiving TB treatment.
kchorton.bsky.social
Only three interventions prevented >10% of incident TB episodes by 2050: vaccination (median 15-28% across countries), community screening (32-38%), and screening in prisons (23%). Other interventions had limited impact, from 0% (shortened DS-TB treatment) to 5% (nutritional supplementation). 5/9
Percentage of incident symptomatic TB episodes averted (2025-2050) for 9 interventions in 3 countries. Greatest impact for community screening, vaccination, and screening in prisons, followed by nutritional supplementation, improved diagnostics, and tuberculosis preventive treatment.

Vacc = Vaccination, TPT = Tuberculosis Preventive Treatment, Comm Scr = Community-wide screening, Impr Diag = Improved diagnosis in clinics, DST for all = Drug Susceptibility Testing for all clinic-diagnosed individuals, Short DS = Shortened treatment for Drug Susceptible TB, Short DR = Shortened treatment for Drug Resistant TB, Pri Scr = Mass screening in incarcerated individuals, Nutr = Nutritional support for households of individuals receiving TB treatment. BRA = Brazil, IND = India, ZAF = South Africa. Error bars reflect 95% Uncertainty Intervals.
kchorton.bsky.social
For each intervention, we standardised scale-up (2025-2030), coverage (80% of target population), and strength of evidence for epidemiological impact (using published data). Our economic model considered health systems costs for interventions as well as routine diagnosis and treatment. 4/9
kchorton.bsky.social
We simulated vaccination, TPT, community screening, improved diagnostics, expanded DST, shortened DS-TB treatment, and shortened DR-TB treatment interventions, plus screening in prisons [BRA] and nutritional supplementation [IND]. No HIV intervention was modelled for ZAF given high ART coverage. 3/9
kchorton.bsky.social
We developed a deterministic #TB model for a geographically and epidemiologically diverse set of countries, incorporating key structural determinants: incarceration in Brazil, undernutrition in India, HIV in South Africa. We calibrated to epidemiological indicators and trends for each country. 2/9
Epidemiological model structure and subdivisions. Model structure for the natural history of TB, incorporating both general subdivisions and country-specific structural determinants: incarceration (Brazil), undernutrition (India), and HIV (South Africa). Background mortality is assumed for all states but not shown; arrows exiting from the corners of certain states represent specific mortality rates. The model is age-stratified in 5-year bands up to 75+ years. TB states shaded in light grey represent individuals harbouring viable Mycobacterium tuberculosis and are further subdivided by drug resistance; this also applies to those recently treated, assuming relapse would involve the same strain. Dark grey TB states appear only in the previously treated stratum within the treatment subdivisions.
kchorton.bsky.social
At a time when global resources for #TB research, development, prevention, and care are limited, which interventions should be prioritised in high burden settings?

📢 Our new pre-print compares the impact, cost, and cost-effectiveness of 9 TB interventions in 3 countries. 1/n

bit.ly/3V3vXth
The potential impact, cost and cost-effectiveness of tuberculosis interventions - a modelling exercise
Background While a range of interventions exist for tuberculosis prevention, screening, diagnosis, and treatment, their potential population impact and cost-effectiveness are seldom directly compared,...
bit.ly
Reposted by Katherine Horton
lekate.bsky.social
📯 New research from @kchorton.bsky.social and colleagues from @lshtm-tbmod.bsky.social!

#TB incidence can rebound after community screening ends, meaning the gains made during a program can be erased in the years that follow. This highlights a major challenge in sustaining impact #EndTB #EpiSky
kchorton.bsky.social
Community screening for #tuberculosis could extend the reach of #TB services, but evidence on its effectiveness is limited.

In our latest preprint, we examine the epidemiological impact of trade-offs in diagnostic algorithm, population coverage, and duration of screening. 1/n

bit.ly/3UK7pFD
Exploring trade-offs in diagnostic algorithm, population coverage, and duration of community screening for tuberculosis
Background Current tuberculosis (TB) prevention and care strategies have failed to reduce disease burden at the pace required to meet global targets. Community screening may enable more rapid declines...
www.medrxiv.org
kchorton.bsky.social
Our work highlights opportunities for community screening to achieve the substantial reductions in #TB morbidity and mortality needed to end TB. 7/n

with @alexandra-richards.bsky.social @aschwalbc.bsky.social @reinhouben.bsky.social

@lshtm-tbmod.bsky.social @tb-lshtm.bsky.social
kchorton.bsky.social
Our modelling approach allowed us to isolate the impact of specific elements of community screening approaches, examine a wide array of scenarios, and quantify long-term impacts. But we note that results are meant to be illustrative and reflect assumptions in homogenous populations. 6/n