| Literature DB >> 25370883 |
Anna M Stewart Ibarra1, Valerie A Luzadis, Mercy J Borbor Cordova, Mercy Silva, Tania Ordoñez, Efraín Beltrán Ayala, Sadie J Ryan.
Abstract
BACKGROUND: The growing burden of dengue fever and the lack of a vaccine or specific medical treatment have increased the urgency of the public health sector to identify alternative management strategies. A prevailing trend in Latin America has been a shift towards decentralized vector control programs with integrated management strategies, requiring significant intersectoral coordination, community engagement, and knowledge of the local social-ecological system (SES). Community perceptions and responses are a critical component of this system, since perceptions shape actions, and thus govern behavioral responses and acceptance of shifts in policy and management.Entities:
Mesh:
Year: 2014 PMID: 25370883 PMCID: PMC4240812 DOI: 10.1186/1471-2458-14-1135
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Annual dengue fever incidence in El Oro Province, 2000–2013 [ [6] ].
Figure 2Location of study sites in Machala, Ecuador. Central area (CA) and peripheral area (PA) study sites indicated, with urban neighborhoods and land use. Land use map source: Ecuadorian Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), http://geoportal.magap.gob.ec/. Neighborhood map source: National Institute of Meteorology and Hydrology of Ecuador (INAMHI).
Socio-demographic information of survey respondents (n = households)
| Peripheral area (n = 39) | Central area (n = 40) |
| |||
|---|---|---|---|---|---|
| Number of people in surveyed households | 170 | 162 | |||
| People with self-reported previous dengue infection | 33 | 19% | 32 | 20% | 1 |
| People with previous dengue infection who sought medical care | 25 | 76% | 30 | 94% | 0.082 |
| Young family (mean age <35) | 30 | 77% | 20 | 50% | 0.025 |
| Female head of household | 10 | 26% | 12 | 30% | 0.856 |
| Head of household with post-secondary education | 9 | 24% | 12 | 32% | 0.608 |
| Head of household immigrated for work in the past 2 years | 5 | 13% | 8 | 20% | 0.613 |
| Head of household is currently employed or seeking workA | 36 | 92% | 34 | 85% | 0.481 |
| Access to sewerageA | 30 | 77% | 40 | 100% | 0.002 |
| Access to municipal garbage collectionA | 33 | 85% | 40 | 100% | 0.011 |
| Piped water inside the house | 20 | 51% | 35 | 88% | 0.001 |
| Daily or weekly interruptions in the piped water supplyA | 15 | 39% | 3 | 8% | 0.001 |
| Water storage in cisterns or covered elevated tanksA | 25 | 66% | 37 | 95% | 0.001 |
| Water stored in other containers | 21 | 54% | 9 | 23% | 0.008 |
p values ≤0.05 indicate significant differences between the study areas; values were calculated using Pearson’s Chi-squared test with Yates continuity correction, unless otherwise indicated.
A p values calculated by Fisher’s Exact Test.
Perceptions of dengue control from survey respondents (n = households)
| Peripheral area (n = 39) | Central area (n = 40) |
| |||
|---|---|---|---|---|---|
|
| |||||
| No challenges | 17 | 44% | 20 | 50% | 0.73 |
| Lack of informationA | 7 | 18% | 0 | 0% | 0.005 |
| Economic factors | 14 | 36% | 10 | 25% | 0.419 |
| Lack of timeA | 5 | 13% | 3 | 8% | 0.481 |
| Too many mosquitoesA | 1 | 3% | 2 | 5% | 1 |
| Other: lack of concern, health issues, type of housing† | 5 | 13% | 17 | 43% | |
|
| |||||
| Chemical control | 26 | 67% | 21 | 53% | 0.292 |
| Public health education | 11 | 28% | 10 | 25% | 0.946 |
| Public utilities & services | 19 | 49% | 8 | 20% | 0.014 |
| Increase community interactions | 7 | 18% | 8 | 20% | 1 |
| Other: distribute mosquito nets, cut vegetation, chlorinate drinking water | 4 | 10% | 1 | 3% | |
|
| |||||
| Become more united | 18 | 46% | 15 | 38% | 0.793 |
| Take preventative action in their own households | 12 | 31% | 15 | 38% | 0.694 |
| Ask for help from authorities | 12 | 31% | 7 | 18% | 0.264 |
| Organize community clean ups ( | 4 | 10% | 3 | 8% | 0.713 |
| Other: educate each other, can’t do anything, don’t know† | 2 | 5% | 5 | 12% | |
p values ≤0.05 indicate significant differences between the study areas; values were calculated using Pearson’s Chi-squared test with Yates continuity correction, unless otherwise indicated.
A p values calculated by Fisher’s Exact Test. †Indicates multiple responses.
Mosquito control practices from survey respondents (n = households)
| Peripheral area (n = 39) | Central area (n = 40) |
| |||
|---|---|---|---|---|---|
| Clean garbage | 39 | 100% | 40 | 100% | 1 |
| Cut vegetation | 35 | 90% | 34 | 85% | 1 |
| Close windows & doorsA | 36 | 92% | 28 | 70% | 0.02 |
| Cover containers with water | 30 | 77% | 34 | 85% | 0.53 |
| Eliminate standing water | 31 | 79% | 32 | 80% | 1 |
| Fumigation | 30 | 77% | 28 | 70% | 0.658 |
| Add chemicals to water to kill larvae | 24 | 62% | 26 | 65% | 0.932 |
| Use repellent | 17 | 44% | 23 | 58% | 0.312 |
| Screens on windows & doors | 20 | 51% | 19 | 48% | 0.912 |
| Pour burned diesel on floors & puddles | 21 | 54% | 12 | 30% | 0.055 |
| Burn incense or grass to make smoke | 13 | 33% | 14 | 35% | 1 |
| Other: mosquito nets, wash cistern, eat early, other insecticide† | 8 | 21% | 8 | 20% | 1 |
p values ≤0.05 indicate significant differences between the study areas; values were calculated using Pearson’s Chi-squared test with Yates continuity correction, unless otherwise indicated.
A p values calculated by Fisher’s Exact Test. †Indicates multiple responses.
Figure 3Risk factors associated with dengue identified through a thematic analysis of causal diagrams. Font size indicates the number of focus groups in which the theme emerged (range 1 to 6). Themes that emerged only from the peripheral area (PA) are in italics; themes only from the central area (CA) are underlined.