Evidence map›Paper›PMID 29166907›Full record

ArticleMalaria journal2017

Quantifying seasonal and diel variation in Anopheline and Culex human biting rates in Southern Ecuador.

Sadie J Ryan, Catherine A Lippi, Philipp H Boersch-Supan, Naveed Heydari, Mercy Silva, Jefferson Adrian, Leonardo F Noblecilla, Efraín B Ayala, Mayling D Encalada, David A Larsen and 4 more

Abstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  8. Spatial, environmental, and individual associations withFrontiers in cellular and infection microbiology · 2022
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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.

Sadie J RyanEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA. sjryan@ufl.edu.ORCID http://orcid.org/0000-0002-4308-6321
Catherine A LippiEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA. clippi@ufl.edu.ORCID http://orcid.org/0000-0002-7988-0324
Philipp H Boersch-SupanEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0001-6723-6833
Naveed HeydariCenter for Global Health and Translational Science and Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, USA.
Mercy SilvaLaboratorio Clínico Hospital Teófilo Dávila, Ministerio de Salud Pública, Machala, Ecuador.
Jefferson AdrianCenter for Global Health and Translational Science and Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, USA.
Leonardo F NoblecillaLab. Entomologia CZ7, Ministerio de Salud Pública, Machala, Ecuador.
Efraín B AyalaFacultad de Medicina, Universidad Técnica de Machala, Machala, Ecuador.
Mayling D EncaladaDirección Nacional de Vigilancia Epidemiológica, Ministerio de Salud Pública, Av. República de El Salvador 36-64 y Suecia, 170515, Quito, Ecuador.
David A LarsenDepartment of Public Health, Food Studies, and Nutrition, Syracuse University, Syracuse, NY, USA.
Jesse T KrisherDivision of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
Lyndsay KrisherCenter for Health, Work & Environment, Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA.
Lauren FregosiEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Anna M Stewart-IbarraCenter for Global Health and Translational Science and Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0002-3383-4672

Funding

ACL HHS U01CK000510CDC HHS 1U01CK000510-01NCEZID CDC HHS U01 CK000510
6 · The paper itself

Abstract

backgroundQuantifying mosquito biting rates for specific locations enables estimation of mosquito-borne disease risk, and can inform intervention efforts. Measuring biting itself is fraught with ethical concerns, so the landing rate of mosquitoes on humans is often used as a proxy measure. Southern coastal Ecuador was historically endemic for malaria (Plasmodium falciparum and Plasmodium vivax), although successful control efforts in the 2000s eliminated autochthonous transmission (since 2011). This study presents an analysis of data collected during the elimination period.

methodsHuman landing catch (HLC) data for three mosquito taxa: two malaria vectors, Anopheles albimanus and Anopheles punctimacula, and grouped Culex spp. were examined for this study. These data were collected by the National Vector Control Service of the Ministry of Health over a 5-year time span (2007-2012) in five cities in southern coastal Ecuador, at multiple households, in all months of the year, during dusk-dawn (18:00-6:00) hours, often at both indoor and outdoor locations. Hurdle models were used to determine if biting activity was fundamentally different for the three taxa, and to identify spatial and temporal factors influencing bite rate. Due to the many different approaches to studying and quantifying bite rates in the literature, a glossary of terms was created, to facilitate comparative studies in the future.

resultsBiting trends varied significantly with species and time. All taxa exhibited exophagic feeding behavior, and outdoor locations increased both the odds and incidence of bites across taxa. Anopheles albimanus was most frequently observed biting, with an average of 4.7 bites/h. The highest and lowest respective months for significant biting activity were March and July for An. albimanus, July and August for An. punctimacula, and February and July for Culex spp.

conclusionsFine-scale differences in endophagy and exophagy, and temporal differences among months and hours exist in biting patterns among mosquito taxa in southern coastal Ecuador. This analysis provides detailed information for targeting vector control activities, and household level vector prevention strategies. These data were collected as part of routine vector surveillance conducted by the Ministry of Health, and such data have not been collected since. Reinstating such surveillance measures would provide important information to aid in preventing malaria re-emergence.

Indexed as

Circadian RhythmAnimalsAnophelesCulexEcuadorFeeding BehaviorInsect Bites and StingsModels, BiologicalMosquito VectorsSeasonsSpecies SpecificityUrban PopulationAnopheles albimanusAnopheles punctimaculaBite rateCulexEcuadorMalaria

Identifiers

PMID29166907
PMCPMC5700746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.