ReviewBiomedica : revista del Instituto Nacional de Salud2016
[Recommendations for the surveillance of Aedes aegypti].
Review in Biomedica : revista del Instituto Nacional de Salud, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- [Systematic review on the use of fish for vector control of mosquito-borne diseases].Revista espanola de salud publica · 2025Pooled it
- Vector control strategies for preventing dengue transmission.The Cochrane database of systematic reviews · 2026Article
- Abundance of the vector Aedes aegypti in urban and rural areas in Managua, Nicaragua.PLoS neglected tropical diseases · 2026Article
- Emergence and expansion of dengue in Paltas: possible implications of the COVID-19 pandemic and climatic variations.Tropical medicine and health · 2025Article
- Density of Aedes aegypti and dengue virus transmission risk in two municipalities of Northwestern Antioquia, Colombia.PloS one · 2024Article
- Spatial patterns associated with the distribution of immature stages ofGigaByte (Hong Kong, China) · 2023Article
- Assessing the effect ofDialogues in health · 2022Article
- New tools for Aedes control: mass trapping.Current opinion in insect science · 2022Review
- Entomovirological Surveillance in Schools: Are They a Source for Arboviral Diseases Transmission?International journal of environmental research and public health · 2021Article
- A comparison of mosquito densities, weather and infection rates of Aedes aegypti during the first epidemics of Chikungunya (2014) and Zika (2016) in areas with and without vector control in Puerto Rico.Medical and veterinary entomology · 2019Article
- Impact of Autocidal Gravid Ovitraps on Chikungunya Virus Incidence in Aedes aegypti (Diptera: Culicidae) in Areas With and Without Traps.Journal of medical entomology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 2 countries.
Funding
Abstract
Diseases caused by arboviruses transmitted by Aedes aegypti, such as dengue, chikungunya and Zika, continue to rise in annual incidence and geographic expansion. A key limitation for achieving control of A. aegypti has been the lack of effective tools for monitoring its population, and thus determine what control measures actually work. Surveillance of A. aegypti has been based mainly on immature indexes, but they bear little relation to the number of mosquito females, which are the ones capable of transmitting the viruses. The recent development of sampling techniques for adults of this vector species promises to facilitate surveillance and control activities. In this review, we present the various monitoring techniques for this mosquito, along with a discussion of their usefulness, and recommendations for improved entomological surveillance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.