| Literature DB >> 29164092 |
Eva C Heym1, Jette Schröder2, Helge Kampen3, Doreen Walther1.
Abstract
The mosquito species Anopheles plumbeus is an aggressive biter and a potential vector of malaria parasites and West Nile virus. It occurs naturally at low population densities, as its larval development is adapted to the specific water qualities found in tree holes. However, probably owing to environmental changes, it has recently been observed in several European countries to use increasingly often artificial breeding habitats that may lead to mass development and severe annoyance to humans living close by. The perception of mosquito nuisance, however, is very subjective, and breeding habitats are not always known, thus impeding targeted surveillance and control. To relate nuisance by An. plumbeus to specific environmental conditions, a questionnaire survey was carried out addressing persons who had submitted specimens of this particular mosquito species to the German citizen science project "Mueckenatlas", an instrument of passive mosquito surveillance. The questionnaire was intended to find out whether a nuisance situation linked to An. plumbeus had existed, whether mosquito breeding habitats could be identified and whether control measures had been conducted. Despite some efforts, the participants who claimed to suffer from an An. plumbeus nuisance problem had rarely identified the source of the mosquitoes. Once control measures had been performed on abandoned manure pits, however, the nuisance problem disappeared or mosquito abundance was at least significantly reduced. Nevertheless, no significant effect of abandoned manure pits on the probability of an An. plumbeus nuisance could be demonstrated in a multivariate logistic regression model testing various variables. Instead, a significant positive effect of a disused farm nearby was found. The reason is probably that manure pits as the most frequent source of An. plumbeus mass development are often located on disused farms, without most people's knowledge about their existence. Disused farms are therefore appropriate candidates to consider when it comes to public health issues connected to An. plumbeus such as surveillance of mass development and implementation of control measures.Entities:
Keywords: Anopheles plumbeus; citizen science; mass development; mosquito control; tree-hole breeder; vector
Year: 2017 PMID: 29164092 PMCID: PMC5663692 DOI: 10.3389/fpubh.2017.00278
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sociodemographic characteristics of survey participants.
| Variable | Category | No. of respondents | % |
|---|---|---|---|
| Federal state | Baden-Wurttemberg | 24 | 21.1 |
| Bavaria | 25 | 21.9 | |
| Berlin | 2 | 1.8 | |
| Brandenburg | 14 | 12.3 | |
| Hesse | 6 | 5.3 | |
| Mecklenburg-Western Pomerania | 1 | 0.9 | |
| Lower Saxony | 7 | 6.1 | |
| North Rhine-Westphalia | 13 | 11.4 | |
| Rhineland-Palatinate | 4 | 3.5 | |
| Saxony | 12 | 10.5 | |
| Saxony-Anhalt | 5 | 4.4 | |
| Thuringia | 1 | 0.9 | |
| Age group (years) | 0–19 | 3 | 2.8 |
| 20–29 | 2 | 1.9 | |
| 30–39 | 13 | 12.0 | |
| 40–49 | 29 | 26.9 | |
| 50–59 | 26 | 24.1 | |
| 60–69 | 24 | 22.2 | |
| 70+ | 11 | 10.2 | |
| Gender | Male | 76 | 67.9 |
| Female | 36 | 32.1 | |
| Education | High school graduation (“Abitur”) | 58 | 50.9 |
| Advanced technical college certificate | 15 | 12.9 | |
| Secondary school certificate | 30 | 25.9 | |
| Folk/secondary school or polytechnic secondary school | 9 | 7.8 | |
| Student/pupil | 4 | 2.6 | |
| Occupation | Pupil | 3 | 2.5 |
| Student | 1 | 0.9 | |
| Unemployed | 1 | 0.9 | |
| Housewife/househusband | 10 | 8.7 | |
| Pensioner | 26 | 22.6 | |
| Worker | 70 | 60.9 | |
| Other | 4 | 3.5 |
Identification of mosquito breeding habitats in the immediate environment of the respondents.
| Potential breeding habitats in the environment of the respondents | Mosquito source identified | ||||
|---|---|---|---|---|---|
| Existent (%) | Non-existent (%) | Unknown (%) | Yes (%) | No (%) | |
| Abandoned manure pit | 42 (38.2) | 40 (36.4) | 28 (25.5) | 13 (31.0) | 24 (57.1) |
| Active manure pit | 41 (36.0) | 48 (42.1) | 25 (21.9) | 8 (19.5) | 22 (53.7) |
| Underground water reservoir | 28 (26.2) | 41 (38.3) | 38 (35.5) | 5 (17.9) | 17 (60.7) |
| Rain barrel | 99 (86.1) | 9 (7.8) | 7 (6.1) | 45 (45.5) | 24 (24.2) |
| Well | 39 (35.5) | 47 (42.7) | 24 (21.8) | 2 (5.1) | 23 (59.0) |
| Rain gutter | 94 (87.0) | 9 (8.3) | 5 (4.6) | 5 (5.3) | 52 (55.3) |
| Water pool, pond | 74 (67.9) | 30 (27.5) | 5 (4.6) | 22 (29.7) | 18 (24.3) |
| Peat bog | 8 (7.7) | 96 (92.3) | 0 (0.0) | 4 (50.0) | 1 (12.5) |
| Brook | 60 (54.5) | 50 (45.5) | 0 (0.0) | 12 (20.0) | 22 (36.7) |
| Ditch | 26 (24.8) | 72 (68.6) | 7 (6.7) | 5 (19.2) | 10 (38.5) |
| Tree hole | 68 (61.8) | 9 (8.2) | 33 (30.0) | 8 (11.6) | 31 (44.9) |
| Other water sources | 26 (22.8) | 84 (73.7) | 4 (3.5) | 14 (53.8) | 3 (11.5) |
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Figure 1Outcome of mosquito control measures implemented for various types of breeding habitats.
Overview of the variables included in the regression analysis.
| Variables | No. of observations | Percentage of positive answers |
|---|---|---|
| Subjective nuisance | 81 | 51.6 |
| Diurnal mosquitoes | 74 | 55.4 |
| Abandoned manure pit nearby | 81 | 35.8 |
| Disused farm nearby | 81 | 59.3 |
| Forest nearby | 81 | 44.4 |
| Green area nearby | 81 | 44.4 |
| Rural environment | 81 | 84.0 |
| Farm nearby | 81 | 54.3 |
| Gender (male) | 81 | 66.6 |
| Education level (“Abitur”) | 81 | 51.9 |
| Age (min. 14–max. 80 years) | 81 | 51.1 (14.4) |
Logistic regression models analyzing the determinants of Anopheles plumbeus nuisance.
| Tested variables | Subjective nuisance | Diurnal mosquitoes | ||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | |
| AME ( | AME ( | AME ( | AME ( | AME ( | AME ( | |
| Abandoned manure pit nearby | 0.22+ (0.09) | – | 0.14 (0.31) | 0.11 (0.42) | – | −0.02 (0.85) |
| Disused farm nearby | – | 0.29* (0.04) | 0.23 (0.13) | – | 0.39** (0.00) | 0.39** (0.00) |
| Forest nearby | −0.05 (0.66) | −0.04 (0.72) | −0.02 (0.89) | −0.12 (0.35) | −0.06 (0.63) | −0.06 (0.62) |
| Green area nearby | −0.11 (0.32) | −0.11 (0.30) | −0.09 (0.39) | −0.09 (0.45) | −0.07 (0.56) | −0.07 (0.55) |
| Rural environment | 0.07 (0.65) | 0.03 (0.87) | 0.02 (0.92) | −0.09 (0.62) | −0.14 (0.43) | −0.13 (0.44) |
| Farm nearby | 0.23+ (0.07) | 0.19 (0.17) | 0.16 (0.26) | 0.11 (0.38) | −0.02 (0.91) | −0.01 (0.94) |
| Gender (male) | −0.23+ (0.05) | −0.20+ (0.09) | −0.20+ (0.08) | −0.21 (0.11) | −0.16 (0.22) | −0.16 (0.22) |
| Education level (“Abitur”) | −0.08 (0.45) | −0.07 (0.45) | −0.07 (0.47) | 0.08 (0.47) | 0.08 (0.45) | 0.08 (0.45) |
| Age | −0.00 (0.27) | −0.00 (0.24) | −0.00 (0.26) | −0.00 (0.30) | −0.01 (0.21) | −0.01 (0.20) |
| 81 | 81 | 81 | 74 | 74 | 74 | |
| Pseudo | 0.21 | 0.22 | 0.23 | 0.12 | 0.19 | 0.19 |
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AME, average marginal effect.