A study on spatially stratified sampling method for mosquito route index monitoring
Objective To establish a route sampling method based on Monte Carlo simulation with the use of software programming,and to preliminarily analyze the effects of different route sampling methods on the mosquito monitoring results by the route index method.Methods The Python 3.80 software was used to create Monte Carlo simulations of the walking paths of monitoring personnel for route index mosquito monitoring in various residential areas.The simulations were performed with random route sampling and spatially stratified route sampling separately,and 1 000 different routes were simulated for each preset termination value.Excel 2019 software was used for data entry and arrangement.The route index,absolute error and variance of the simulation monitoring results were calculated,and the number of buildings sampled in the study area was counted.SPSS 26.0 software was used for statistical analysis.The data used for Monte Carlo simulations were the standing water data obtained from a survey of Aedes albopictus breeding sites in a large residential area(402 000 m2)in Shanghai by visual inspection in May and July 2023.Results Based on the survey results of mosquito breeding sites in May and July 2023 in the study area,Monte Carlo simulation was carried out with the termination presets of 50,100,150,200,250,and 300 households within the buffer zone.The simulation results show that the sampling probability of each building in the study area is not the same when sampling with random path,and the sampling times of the middle buildings are more.With the increase of sample size,the absolute error and variance decrease gradually.The comparison between the two sampling methods showed that when the sample size was the same,the efficiency of spatially stratified sampling was all greater than 1.25,indicating spatially stratified sampling showed higher efficiency than random route sampling.Conclusions A research method for route sampling was developed based on Monte Carlo simulation by using Python to simulate physical walking,and the optimizing walking paths can improve the sampling efficiency for the route index method.The route index method based on spatially stratified sampling can obtain the more representative Ae.albopictus monitoring results.
Route indexAedes albopictusMonte Carlo simulationSpatial sampling
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