Evidence map›Paper›PMID 34594641›Full record

ArticleChina CDC weekly2020

The "1-3-7" Approach to Malaria Surveillance and Response - Henan Province, China, 2012-2018.

Qunqun Zhang, Ying Liu, Yabo Hu, Yuling Zhao, Chengyun Yang, Dan Qian, Ruimin Zhou, Suhua Li, Zhou Guan, Deling Lu and 2 more

Abstract read
In one paragraph

Article in China CDC weekly, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. 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

12 authors.

Qunqun ZhangHenan Center for Disease Prevention and Control, Zhengzhou, China.
Ying LiuHenan Center for Disease Prevention and Control, Zhengzhou, China.
Yabo HuHenan Center for Disease Prevention and Control, Zhengzhou, China.
Yuling ZhaoHenan Center for Disease Prevention and Control, Zhengzhou, China.
Chengyun YangHenan Center for Disease Prevention and Control, Zhengzhou, China.
Dan QianHenan Center for Disease Prevention and Control, Zhengzhou, China.
Ruimin ZhouHenan Center for Disease Prevention and Control, Zhengzhou, China.
Suhua LiHenan Center for Disease Prevention and Control, Zhengzhou, China.
Zhou GuanHenan Center for Disease Prevention and Control, Zhengzhou, China.
Deling LuHenan Center for Disease Prevention and Control, Zhengzhou, China.
Hongwei ZhangHenan Center for Disease Prevention and Control, Zhengzhou, China.
Wanshen GuoHenan Center for Disease Prevention and Control, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "1-3-7" approach to malaria surveillance and response was a key measure for malaria elimination in China and was first introduced into the World Health Organization (WHO) as an international guideline for malaria surveillance and response in 2018. The "1-3-7" approach was well implemented in Henan Province from 2012-2018. Over this study period, a total of 1,294 malaria cases were detected and reported, and all cases were diagnosed and reported within 1 day with 99.23% (1,284/1,294) of cases were investigated within 3 days. In addition, 93.7% (1,212/1,294) of foci were investigated and vector control was implemented within 7 days at all residual non-active foci to prevent further spread. The "1-3-7" controlling pattern would be an effective and approachable method for implementation especially in malaria-eliminating countries and regions, but the interval from symptom onset to diagnosis cannot be ignored. Thus, the roles and responsibilities that all actors involved in the health sector must be specified too.

Identifiers

PMID34594641
PMCPMC8422168

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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.