Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis

NCT05893134 | Completed DMC

• 1 other identifier: F-CNIC-2023-060
• Study Type: observational
• Target: 196
• Locations: 1 country
• Sites: 1

Brief Summary

This retrospective observational study aims to determine the probability of the risk of dengue transmission through a model based on epidemiological, entomological, socioeconomic, demographic, and landscape variables in the El Vergel neighborhood in the municipality of Tapachula, Chiapas, Mexico. The main question it aims to answer is: 1\. Is it possible to identify the risk determinants of dengue transmission by developing a probabilistic model based on the landscape analysis of epidemiological, entomological, sociodemographic, and landscape variables in an endemic urban area of the municipality of Tapachula, Chiapas, Mexico? Participants will be selected from a registry obtained from the Secretary of Health of cases of dengue fever, which will be contrasted with the entomological, socioeconomic, demographic, and landscape variables in the El Vergel neighborhood in Tapachula, Chiapas, Mexico. They will be not contacted or sampled for biologic testing in any shape or form, only the data already collected from the health services will be used.

Conditions

Dengue

Keywords

dengue fever; risk determinants; landscape analysis

Outcome Measures

Primary Outcomes (1)

• Risk

  A probabilistic risk model will be generated based on the variables of different natures used and maps will be built to identify the areas of greatest risk for dengue transmission in the study area

  One year, six months previous to the survey application (November-December 2019) and six months after

Study Arms (1)

Main

Information from entomological, housing condition, and sociodemographic surveys of the El Vergel neighborhood, Tapachula, Chiapas, obtained during the period from November to December 2019, will be used

Other: Risk Assessment

Interventions

Risk Assessment OTHER

A probabilistic risk model will be generated based on the variables of different natures used and maps will be built to identify the areas of greatest risk for dengue transmission in the study area

Main

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The Health District VII (DSVII) of the State Health Services (SESAs) in Chiapas, Mexico, will be asked for the database of dengue cases in the study area during the time of the implementation of the surveys (November 19 to December 5 of 2019), six months before and six months after the said period. They will be georeferenced through field visits, through the measurement of a geographical point in front of the house.

You may qualify if:

• The epidemiological information of all suspected cases of dengue with the onset of symptoms in the period from June 2019 to May 2020 that have a record on the platform of the National System for Epidemiological Surveillance will be included.

You may not qualify if:

• Records that do not have sufficient information for their georeferencing will be excluded.

Sponsors & Collaborators

• Instituto Mexicano del Seguro Social: lead
• Instituto Nacional de Salud Publica, Mexico: collaborator
• Centro de Investigación en Matemáticas A.C. (CIMAT): collaborator

Study Sites (1)

Hospital General de Zona No. 1

Tapachula, Chiapas, 30700, Mexico

Location

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  PMID: 34442229 RESULT

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  RESULT

MeSH Terms

Conditions

Dengue

Interventions

Risk Assessment

Condition Hierarchy (Ancestors)

Mosquito-Borne Diseases; Vector Borne Diseases; Infections; Arbovirus Infections; Virus Diseases; Flavivirus Infections; Flaviviridae Infections; RNA Virus Infections; Hemorrhagic Fevers, Viral

Intervention Hierarchy (Ancestors)

Risk; Probability; Statistics as Topic; Epidemiologic Methods; Investigative Techniques; Risk Management; Organization and Administration; Health Services Administration; Health Care Evaluation Mechanisms; Quality of Health Care; Health Care Quality, Access, and Evaluation; Epidemiologic Measurements; Public Health; Environment and Public Health

Study Officials

• Héctor A Rincón León, PhD

  Instituto Mexicano del Seguro Social

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: ECOLOGIC OR COMMUNITY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER GOV
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Medical Assistant Coordinator for Health Research, State Decentralized Administrative Operation Organ in Chiapas of the Mexican Institute of Social Security

Study Record Dates

• First Submitted: May 26, 2023
• First Posted: June 7, 2023
• Study Start: June 1, 2023
• Primary Completion: July 31, 2023
• Study Completion: January 30, 2024
• Last Updated: March 5, 2024

Record last verified: 2024-03

Data Sharing

• IPD Sharing: Will not share

Locations

ME (1)