Evidence map›Paper›PMID 41262774›Full record

ArticleBMJ public health2025

Implementation and fidelity of reactive surveillance and response strategies for malaria elimination: a systematic review and meta-analysis.

Win Han Oo, Nilar Aye Tun, Kaung Myat Thu, Julia C Cutts, Win Htike, Ei Phyu Htwe, May Chan Oo, Aung Khine Zaw, Paul Anthony Agius, Freya J I Fowkes

Abstract read
In one paragraph

Article in BMJ public health, 2025. 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. Review
  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.

Win Han Oo *Disease Elimination, Burnet Institute, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-1378-9405
Nilar Aye Tun *Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6821-859X
Kaung Myat ThuHealth Security and Pandemic Preparedness, Burnet Institute Myanmar, Yangon, Yangon, Myanmar.ORCID https://orcid.org/0000-0003-1746-8083
Julia C CuttsDisease Elimination, Burnet Institute, Melbourne, Victoria, Australia.
Win HtikeHealth Security and Pandemic Preparedness, Burnet Institute Myanmar, Yangon, Yangon, Myanmar.ORCID https://orcid.org/0000-0003-2820-477X
Ei Phyu HtweHealth Security and Pandemic Preparedness, Burnet Institute Myanmar, Yangon, Yangon, Myanmar.
May Chan OoHealth Security and Pandemic Preparedness, Burnet Institute Myanmar, Yangon, Yangon, Myanmar.ORCID https://orcid.org/0000-0002-5031-023X
Aung Khine ZawHealth Security and Pandemic Preparedness, Burnet Institute Myanmar, Yangon, Yangon, Myanmar.ORCID https://orcid.org/0000-0001-9978-245X
Paul Anthony AgiusDisease Elimination, Burnet Institute, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-6075-8548
Freya J I FowkesDisease Elimination, Burnet Institute, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To achieve malaria elimination, case-based surveillance and response systems have been developed in endemic countries. This study systematically reviews the different types of reactive surveillance and response strategies for malaria, how they are being implemented, and their implementation fidelity, across different malaria elimination settings to inform reactive surveillance and response guidelines. Methods: A systematic review of published and grey quantitative and qualitative studies investigating different reactive surveillance and response strategies was conducted. Five databases (PubMed, Web of Science, Scopus, African Index Medicus and Latin American and Caribbean Health Sciences Literature) were searched in all years up to 16 June 2025 with no restrictions on language or publication date. Meta-analyses were performed to obtain pooled estimates of each implementation fidelity outcome of reactive surveillance and responses. Sub-group analyses of geographical regions were performed. Results: 69 studies (33 in the Asia-Pacific, including 16 in Greater Mekong Subregion, 34 in Africa and two in South America regions) were included in the review; of which 43 were included in the meta-analysis. The '1-3-7' strategy is a common reactive surveillance and response strategy developed in China and adopted by Greater Mekong Subregion countries. In Africa, many countries undertook reactive case detection alone as their reactive surveillance and response strategy (19/34 studies). In general, the implementation fidelity measured by completeness and timeliness of each step of reactive surveillance and responses was 100% in China (completeness and timeliness of case investigation: 100% (95% CI 100% to 100%) and 97% (95% CI 93% to 100%), respectively). Lowest fidelities of reactive surveillance and responses were observed in studies conducted in Africa and Greater Mekong Subregion (timeliness of case investigation: 56% (95% CI 26% to 83%) in Africa and 57% (95%CI 37% to 77%) in Greater Mekong Subregion). Conclusion: The implementation fidelity of reactive surveillance and responses varies within and across countries and regions. This may be due to differences in regional, national and sub-national health system capacity and infrastructure. Each endemic country implementing the malaria elimination programme should reevaluate, refine, improve and strengthen the ongoing strategy which is fit-for-purpose of the national health system capacity considering the global and regional evidence. Trial registration number: International prospective register of systematic reviews (PROSPERO), CRD42021249857.

Indexed as

Disease EradicationDisease HotspotDisease NotificationPublic HealthSentinel Surveillance

Identifiers

PMID41262774
PMCPMC12625913

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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.