Infestation measured by Aedes aegypti larval surveys as an indication of future dengue epidemics: an evaluation for Brazil

被引:5
|
作者
Enslen, Andrew W. [1 ]
Lima Neto, Antonio S. [2 ,3 ]
Castro, Marcia C. [1 ]
机构
[1] Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA 02115 USA
[2] Fortaleza Municipal Hlth Secretariat SMS Fortalez, Rua Capitao Gustavo 3552 Joaqu Tavora, BR-60120075 Fortaleza, Ceara, Brazil
[3] Univ Fortaleza UNIFOR, Av Washington Soares 1321 Edson Queiroz, BR-60811905 Fortaleza, Ceara, Brazil
关键词
Aedes aegypti; dengue; house index; rapid Larval survey; STEGOMYIA-AEGYPTI; DYNAMICS; TRANSMISSION; OUTBREAK; MERIDA; CITY;
D O I
10.1093/trstmh/traa021
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Aedes aegypti rapid Larval surveys are mandatory in Brazil. Here, we retrospectively examined whether the house index estimated by Larval surveys served as a useful tool in anticipating epidemics within Brazilian municipalities from 2009-2015. Methods: We used correlation indices and classification analysis stratified by year, region, population size and time after the national Larval survey. Results: We found no association between the house index and the proportion of municipalities experiencing an epidemic. The sensitivity of a high score house index in predicting an epidemic was 7.20% (95% CI 6.22 to 8.33%) for all years combined. The positive predictive value of a high score house index to predict a 'true epidemic' was 38.96%, Lower than the negative predictive values of a Low score house index for predicting no epidemic' (56.96%). The highest overall sensitivity was observed in the North region (20.15%; 95% CI 17.14 to 23.53%). The sensitivity of a high score house index demonstrated a monotonic decrease with increasing time from Larval collection. Conclusions: Larval surveys are surveillance tools with the potential to risk-stratify and guide dengue control programs towards judicious resource allocation. However, the national rapid Larval survey performed in Brazil, in its present form, consistently underpredicts dengue epidemics.
引用
收藏
页码:506 / 512
页数:7
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