Evidence map›Paper›PMID 35836156›Full record

ArticleBMC public health2022

Application of an innovative grid-based surveillance strategy to ensure elimination and prevent reintroduction of malaria in high-risk border communities in China.

Shen-Ning Lu, Wei Ding, Jia-Zhi Wang, Shou-Qin Yin, Sheng-Guo Li, Xing-Wu Zhou, Qiu-Li Xu, Xiao-Dong Sun, Chris Cotter, Michelle S Hsiang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2022. 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.

  1. Spatiotemporal Dynamics ofChina CDC weekly · 2026
    Article
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

14 authors.

Shen-Ning Lu *Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, 200025, China.
Wei Ding *Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, 200025, China.
Jia-Zhi WangTengchong Center for Disease Control and Prevention, Tengchong, China.
Shou-Qin YinTengchong Center for Disease Control and Prevention, Tengchong, China.
Sheng-Guo LiTengchong Center for Disease Control and Prevention, Tengchong, China.
Xing-Wu ZhouYunnan Provincial Research Center of Arbovirus, Yunnan Institute of Parasitic Diseases, Yunnan Provincial Research Center of Malaria, Pu'er, China.
Qiu-Li XuPudong New Area Center for Disease Control and Prevention & Pudong Institute of Preventive Medicine, Fudan University, Pudong New Area, Shanghai, China.
Xiao-Dong SunYunnan Provincial Research Center of Arbovirus, Yunnan Institute of Parasitic Diseases, Yunnan Provincial Research Center of Malaria, Pu'er, China.
Chris CotterMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Michelle S HsiangMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Allison TatarskyMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Roly GoslingMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Shan LvChinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, 200025, China.
Duo-Quan WangChinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, 200025, China. wangdq@nipd.chinacdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grid management is a grassroots governance strategy widely implemented in China since 2004 to improve the government's efficiency to actively find and solve problems among populated regions. A grid-based strategy surveillancing high-risk groups, including mobile and migrant populations (MMPs), in the China-Myanmar border region has played an indispensable role in promoting and consolidating the malaria elimination efforts by tracking and timely identification of potential importation or re-establishment of malaria among MMPs. A sequential mixed methods was implementated to explore the operational mechanism and best practices of the grid-based strategy including through the focus group discussions (FGDs), comparison of before and after the implementation of a grid-based strategy in the field sites, and data collection from the local health system.This paper distills the implementation mechanism and highlights the role of the grid-based strategy in the elimination and prevention of re-establishment of malaria transmission.

Indexed as

MalariaTransients and MigrantsChinaComputer SystemsHumansMyanmarChina–Myanmar border regionGrid-based strategyMalaria eliminationMobile and migrant populations

Identifiers

PMID35836156
PMCPMC9282898

What OpenQuestion holds

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LicenceCC BY
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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.