Evidence map›Paper›PMID 42154630›Full record

ArticleMMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports2026

CDC Operational Guidance for Investigating Locally Acquired Mosquito-Transmitted Malaria - United States, 2026.

Nikhil Ranadive, Joel L N Barratt, Ellen M Dotson, John E Gimnig, Audrey E Lenhart, Rebecca S Levine, Kimberly E Mace, Peter D McElroy, Brian H Raphael, Dean Sayre and 4 more

Abstract read
In one paragraph

Article in MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nikhil Ranadive
Joel L N Barratt
Ellen M Dotson
John E Gimnig
Audrey E Lenhart
Rebecca S Levine
Kimberly E Mace
Peter D McElroy
Brian H Raphael
Dean Sayre
Laura C Steinhardt
Alice C Sutcliffe
Seymour G Williams
Alison D Ridpath

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During 2023, 10 cases of locally acquired mosquito-transmitted (autochthonous) malaria were reported to CDC from four U.S. states after a 20-year period with no autochthonous cases. These cases highlight that although the United States eliminated malaria transmission in the early 1950s, the country remains susceptible to malaria reintroduction: This report provides operational guidance to local, state, tribal, territorial, and Federal public health responders on public health investigation and response to a suspected autochthonous malaria case in the United States. The guidance in this report updates the 2006 guidance (CDC. Locally acquired mosquito-transmitted malaria: a guide for investigations in the United States. Atlanta, GA: US Department of Health and Human Services, CDC; 2006) and is based on CDC subject-matter expertise, outbreak response experience from 2023, and targeted literature review: Investigations of suspected autochthonous malaria cases often raise public concern and can require substantial public health resources. Public health investigations of these cases should include epidemiologic, entomologic, and laboratory components and frequently require coordination among local, state, and Federal jurisdictions. This report provides an outline of the essential actions for such investigations conducted by describing the components of the investigation and providing resources and tools to assist public health personnel at the local, state, and Federal level:

Identifiers

PMID42154630
PMCPMC13204143

What OpenQuestion holds

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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.