Correlation on rodent density and meteorological factors in Hainan Province from 2012 to 2022
- Author:
LIU Puyu
;
QU Qun
;
SUN Dingwei
- Publication Type:Journal Article
- Keywords:
Rodent density;
meteorological factors;
generalized additive model
- From:
China Tropical Medicine
2024;24(12):1507-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the impact of meteorological factors on rodent density in Hainan Province, and to provide scientific evidence for preventing and controlling rodent infestations and rodent-borne diseases in Hainan Province. Methods Data on rodent density and meteorological factors in Hainan Province from 2012 to 2022 were collected. Pearson's correlation or Spearman's rank correlation coefficients were used to analyze the relationship between rodent density and meteorological factors, and a generalized additive model was applied to assess the impact of meteorological factors on rodent density and their lag effects. Results From 2012 to 2022, the rat density in Hainan Province fluctuated between 1.96% and 4.32%, with an average density of 3.47%, showing no significant upward or downward trend (Ftrend=4.00, P=0.08). The brown rat was identified as the predominant rodent species in Hainan Province. Monthly average sunshine duration and monthly average precipitation impacted the current month's rodent density (P<0.05), with rodent density increasing with the growth of monthly average sunshine duration. When monthly precipitation was within 300 mm, rodent density remained relatively stable; however, with monthly precipitation between 300 and 500 mm, rodent density decreased with an increase in monthly precipitation, while exceeding 500 mm, monthly rat density showed an upward trend. Monthly average atmospheric pressure, sunshine duration, evaporation, precipitation, average temperature, and relative humidity all exhibited lag effects on rodent density (P<0.05). Rodent density lagged by one month decreased with an increase in average atmospheric pressure; rodent density lagged by three months initially decreased and then increased with an increase in monthly average sunshine duration, with a turning point at 150 hours; rodent density lagged by three months decreased with an increase in monthly evaporation; the impact interval of monthly precipitation on rodent density one month later was mainly between 200 and 300 mm; rodent density lagged by three months increased with temperatures rise but decreased steadily after 28 °C; rodent density lagged by one month decreased with an increase in relative humidity. Conclusions Monthly average sunshine duration and precipitation have certain effects on current month rat density, and monthly average atmospheric pressure, monthly sunshine duration, monthly evaporation, monthly precipitation, monthly average temperature, and monthly relative humidity all have lag effects on rodent density.
- Full text:202511131522230242312.Correlation on rodent density and meteorological factors in Hainan Province from 2012 to 2022.pdf
