Evidence map›Paper›PMID 35135540›Full record

ArticleMalaria journal2022

China's long march to malaria elimination: a case of adaptive management.

Duo-Quan Wang, Xiao-Hui Liang, Shen-Ning Lu, Wei Ding, Jing Huang, Xin Wen, Shan Lv, Ning Xiao, Lewis Husain, Xiao-Nong Zhou

Abstract readCase ReportsLetter
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Duo-Quan WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.
Xiao-Hui LiangSchool of Public Health, Global Health Institute, Wuhan University, Wuhan, China.
Shen-Ning LuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.
Wei DingNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.
Jing HuangSchool of Public Health, Global Health Institute, Wuhan University, Wuhan, China.
Xin WenSchool of Public Health, Global Health Institute, Wuhan University, Wuhan, China.
Shan LvNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.
Ning XiaoNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.
Lewis HusainInstitute of Development Studies, Brighton, UK. l.husain1@ids.ac.uk.
Xiao-Nong ZhouNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China. zhouxn1@chinacdc.cn.

Funding

WHO/TDR 2021/1104003-0
6 · The paper itself

Abstract

Since the 1950s, China has transitioned from a malaria pandemic country with tens of millions of annual cases, through phases of local control and elimination, to sustained national malaria elimination efforts. This marks the first time a country in the World Health Organization (WHO) Western Pacific region has been certified malaria-free in more than 3 decades. This article provides an innovative approach to understanding China's malaria elimination journey. A number of articles and commentaries have analysed the effectiveness of specific technical approaches implemented in China. Our argument is that we need to look beyond these, and consider the ways in which policy development and implementation capacities have been fostered to support the dynamic change management. The article makes a number of arguments. First is the pragmatic adaptiveness of policies and strategies-and implementation capacities. Second, China has invested in building systems as well as capacities to support the elimination of parasitic diseases, including malaria. Third, the country has both benefited from, and contributed to, global health collaboration on malaria elimination. The ongoing work by the authors is identifying a number of key factors.

Indexed as

MalariaChinaGlobal HealthHumansWorld Health OrganizationAdaptiveChinaGlobal healthMalaria elimination

Identifiers

PMID35135540
PMCPMC8822632

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.