Evidence map›Paper›PMID 31299911›Full record

ArticleBMC infectious diseases2019

Evidence for heterogeneity in China's progress against pulmonary tuberculosis: uneven reductions in a major center of ongoing transmission, 2005-2017.

Ting Li, Qu Cheng, Charles Li, Everleigh Stokes, Philip Collender, Alison Ohringer, Xintong Li, Jing Li, Jonathan L Zelner, Song Liang and 3 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ting LiInstitute of Tuberculosis Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China.
Qu ChengDivision of Environmental Health Sciences School of Public Health, University of California, Berkeley, 94720, USA.
Charles LiDivision of Environmental Health Sciences School of Public Health, University of California, Berkeley, 94720, USA.
Everleigh StokesDivision of Environmental Health Sciences School of Public Health, University of California, Berkeley, 94720, USA.
Philip CollenderDivision of Environmental Health Sciences School of Public Health, University of California, Berkeley, 94720, USA.
Alison OhringerDivision of Environmental Health Sciences School of Public Health, University of California, Berkeley, 94720, USA.
Xintong LiDepartment of Biostatistics Rollins School of Public Health, Emory University, Atlanta, 30322, USA.
Jing LiInstitute of Tuberculosis Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China.
Jonathan L ZelnerDepartment of Epidemiology and Center for Social Epidemiology and Population Health School of Public Health, University of Michigan, Ann Arbor, 48109, USA.
Song LiangDepartment of Environmental and Global Health College of Public Health and Health Professions, University of Florida, Gainesville, 32611, USA.
Changhong YangInstitute of Public Health Information, Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China.
Justin V RemaisDivision of Environmental Health Sciences School of Public Health, University of California, Berkeley, 94720, USA.
Jin'ge HeInstitute of Tuberculosis Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China. hejinge@163.com.ORCID http://orcid.org/0000-0003-2244-9557

Funding

Spatio-temporal data integration methods for infectious disease surveillanceR01AI125842 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHANG, HOWARD H, REMAIS, JUSTIN V · 2017 to 2021
$3.6M
Effects of agricultural expansion and intensification on infectionsR01TW010286 · FIC · UNIVERSITY OF SOUTH FLORIDA · PI REMAIS, JUSTIN V, ROHR, JASON ROBERT · 2015 to 2019
$2.4M
FIC NIH HHS R01 TW010286National Science Foundation 1360330National Science Foundation 1646708NIAID NIH HHS R01 AI125842NIH HHS 1R01TW010286NIH HHS R01AI125842University of California Berkeley MRP-17-446315
6 · The paper itself

Abstract

backgroundChina contributed 8.9% of all incident cases of tuberculosis globally in 2017, and understanding the spatiotemporal distribution of pulmonary tuberculosis (PTB) in major transmission foci in the country is critical to ongoing efforts to improve population health.

methodsWe estimated annual PTB notification rates and their spatiotemporal distributions in Sichuan province, a major center of ongoing transmission, from 2005 to 2017. Time series decomposition was used to obtain trend components from the monthly incidence rate time series. Spatiotemporal cluster analyses were conducted to detect spatiotemporal clusters of PTB at the county level.

resultsFrom 2005 to 2017, 976,873 cases of active PTB and 388,739 cases of smear-positive PTB were reported in Sichuan Province, China. During this period, the overall reported incidence rate of active PTB decreased steadily at a rate of decrease (3.77 cases per 100,000 per year, 95% confidence interval (CI): 3.28-4.31) that was slightly faster than the national average rate of decrease (3.14 cases per 100,000 per year, 95% CI: 2.61-3.67). Although reported PTB incidence decreased significantly in most regions of the province, incidence was observed to be increasing in some counties with high HIV incidence and ethnic minority populations. Active and smear-positive PTB case reports exhibited seasonality, peaking in March and April, with apparent links to social dynamics and climatological factors.

conclusionsWhile PTB incidence rates decreased strikingly in the study area over the past decade, improvements have not been equally distributed. Additional surveillance and control efforts should be guided by the seasonal-trend and spatiotemporal cluster analyses presented here, focusing on areas with increasing incidence rates, and updated to reflect the latest information from real-time reporting.

Indexed as

AdolescentAdultAgedChildChild, PreschoolChinaCluster AnalysisFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedSeasonsSpatio-Temporal AnalysisCluster analysisDescriptive epidemiologySpatial distributionTuberculosis

Identifiers

PMID31299911
PMCPMC6626433

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LicenceCC BY
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Registered trials

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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.