Evidence map›Paper›PMID 40900486›Full record

ArticleRevista peruana de medicina experimental y salud publica2025

Spatial and temporal behavior of rocky mountain spotted fever in Sinaloa, Mexico: study period 2015-2023.

Ámbar Castellanos-Tamayo, Nallely Rivero-Perez, Benjamín Valladares-Carranza, Carla Rosenfel-Miranda, Yesica Morales-Ubaldo, José Esteban Aparicio-Burgos, Carolina G Sosa-Gutiérrez, Adrian Zaragoza-Bastida

Abstract read
In one paragraph

Article in Revista peruana de medicina experimental y salud publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Ámbar Castellanos-TamayoÁrea Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Hidalgo, México.ORCID http://orcid.org/0009-0009-5767-3250
Nallely Rivero-PerezÁrea Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Hidalgo, México.ORCID http://orcid.org/0000-0002-6154-9983
Benjamín Valladares-CarranzaFacultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma del Estado de México, Toluca, México.ORCID http://orcid.org/0000-0003-0306-3560
Carla Rosenfel-MirandaFacultad de Ciencias Veterinarias, Universidad Austral de Chile, Valdivia, Chile.ORCID http://orcid.org/0000-0001-6120-2819
Yesica Morales-UbaldoÁrea Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Hidalgo, México.ORCID http://orcid.org/0000-0002-0756-3514
José Esteban Aparicio-BurgosEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Hidalgo, México.ORCID http://orcid.org/0000-0002-7611-7825
Carolina G Sosa-GutiérrezÁrea Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Hidalgo, México.ORCID http://orcid.org/0000-0002-5109-4671
Adrian Zaragoza-BastidaÁrea Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Hidalgo, México.ORCID http://orcid.org/0000-0002-8537-5025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotivation for the study. Vector-borne diseases such as Rocky Mountain spotted fever require constant monitoring of their spatial and temporal distribution patterns due to current climate change and atypical conditions. Main findings. Rocky Mountain spotted fever occurs in Sinaloa throughout the year, with endemic peaks during March, May, and July. In the municipality of Badiraguato, a relative risk of 6.89 was determined. Implications for public health. The results of this study show that there are municipalities in the state of Sinaloa with a higher risk of contracting Rocky Mountain spotted fever, so the Sinaloa Ministry of Health could implement prevention and health education programs to reduce the risk in these municipalities.

backgroundRocky Mountain spotted fever (RMSF) is a disease caused by Rickettsia rickettsii, whose vector and natural reservoir is the tick. However, dogs play an important role in the transmission of this disease. This study aimed to determine the spatial and temporal behavior of RMSF in the state of Sinaloa, Mexico. Information was obtained from the RMSF cases reported during the period 2015-2023, and the temporal and spatial behavior was determined using an endemic channel and the SCAN statistic. The highest RMSF prevalence rate was determined in Escuinapa with 9.6 cases per 10,000 inhabitants. Regarding temporal behavior, three endemic peaks were detected in March, May, and July, and three RMSF clusters were identified, with the main cluster located in the municipality of Ahome with a relative risk of 4.9.

backgroundMotivation for the study. Vector-borne diseases such as Rocky Mountain spotted fever require constant monitoring of their spatial and temporal distribution patterns due to current climate change and atypical conditions. Main findings. Rocky Mountain spotted fever occurs in Sinaloa throughout the year, with endemic peaks during March, May, and July. In the municipality of Badiraguato, a relative risk of 6.89 was determined. Implications for public health. The results of this study show that there are municipalities in the state of Sinaloa with a higher risk of contracting Rocky Mountain spotted fever, so the Sinaloa Ministry of Health could implement prevention and health education programs to reduce the risk in these municipalities.

Indexed as

Rocky Mountain Spotted FeverAnimalsFemaleHumansMaleMexicoSpatio-Temporal AnalysisTime Factors

Identifiers

PMID40900486
PMCPMC12377888

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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.