Arbovirus Vectors of Epidemiological Concern in the Americas: A Scoping Review of Entomological Studies on Zika, Dengue and Chikungunya Virus Vectors
Bibliographic record
Abstract
Abstract Background Three arthorpod-borne viruses (arboviruses) causing human disease have been the focus of a large number of studies in the Americas since 2013 due to their global spread and epidemiological impacts: Zika, dengue, and chikungunya viruses. A large proportion of infections by these viruses are asymptomatic. However, all three viruses are associated with moderate to severe health consequences in a small proportion of cases. Two mosquito species, Aedes aegypti and Aedes albopictus , are among the world’s most prominent arboviral vectors, and are known primary vectors for all three viruses in the Americas. Objectives This review summarizes the state of the entomological literature surrounding the biology and ecology of vectors of Zika, dengue and chikungunya viruses and factors affecting virus transmission. The rationale of the review was to elucidate consensus and discord between studies, and guide future research based on identified knowledge gaps. Results A total of 196 studies were included in the scoping review after initial screening and subsequent exclusion of out-of-scope studies, secondary data publications, duplicate records, and studies unavailable in English language. Key findings Temperature and humidity have the strongest impact on mosquito distribution and dynamics, development of immatures and arborviral infection rates. Low socioeconomic status and related factors, including poor infrastructure, inconsistent access to water, and high household resident density, have been consistently associated with arbovirus vector occurrence. Effects of interspecific competition on arboviral vector species is currently poorly understood. Vector competence for Zika virus is well established for Ae. aegypti and Ae. albopictus . Information on Zika virus vector transmission dynamics is sparse in contrast to the wealth of research available for dengue and chikungunya viruses. Conclusions Based on the internationally recognized urgency of Zika virus infection as a public health concern, further research on arbovirus vectors and transmission dynamics is of pressing need.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.023 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".