Rongjie Wei
Datos Biográficos
| ID | 6849358 |
|---|---|
| NOMBRE | Rongjie Wei |
| NOMBRES | Rongjie |
| APELLIDO | Wei |
| FIRMA | WEI R |
| AFILIACIONES | Sichuan Center for Disease Control and Prevention |
| ORCID | 0000-0003-0617-3378 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province
Background: Bacterial dysentery (BD) is a leading cause of diarrhea-related mortality globally, with its incidence heavily influenced by environmental factors. However, a climate zone-specific predictive model for BD was currently lacking in Sichuan Province. Objective: This study aims to employ interpretable machine learning to explore the influence of environmental factors on BD incidence across different climate zones and to elucidate their in…
Policy Effect and Mechanism of China’s MSRI on Inbound Tourism Along the Route
This paper adopted a difference-in-differences method and panel datasets were divided into 20 MSR countries and 60 non-MSR countries between 2010 and 2019 to identify the MSRI's effects and mechanisms behind on inbound tourism. Results show that the MSRI had a significant and direct positive effect on inbound tourism among associated countries. Compared with the tourist arrivals (ITN), the positive effect on the inbound tourism revenue (ITR) was …
Epidemiological analysis and risk prediction of scrub typhus from 2006 to 2021 in Sichuan, China
Background: In the past decade, the number of reported cases of scrub typhus (ST) has increased dramatically in Sichuan Province. We aimed to overview the epidemiological characteristics of ST, identify the variables contributing to the spatial distribution, and estimate the risk areas of ST occurrence. Methods: Daily ST cases reported at the county level from 2006 to 2021 and datasets on environmental and socioeconomic variables were obtained. J…
Niche modeling predictions of the potential distribution of Marmota himalayana, the host animal of plague in Yushu County of Qinghai
The results suggested that marmots preferred warm areas with relatively low altitudes and good vegetation conditions in Yushu County. Based on these results, the present research is useful in understanding the niche selection and distribution pattern of marmots in this region
Sin obras prominentes en esta página.
Niche modeling predictions of the potential distribution of Marmota himalayana, the host animal of plague in Yushu County of Qinghai
The results suggested that marmots preferred warm areas with relatively low altitudes and good vegetation conditions in Yushu County. Based on these results, the present research is useful in understanding the niche selection and distribution pattern of marmots in this region
Epidemiological analysis and risk prediction of scrub typhus from 2006 to 2021 in Sichuan, China
Background: In the past decade, the number of reported cases of scrub typhus (ST) has increased dramatically in Sichuan Province. We aimed to overview the epidemiological characteristics of ST, identify the variables contributing to the spatial distribution, and estimate the risk areas of ST occurrence. Methods: Daily ST cases reported at the county level from 2006 to 2021 and datasets on environmental and socioeconomic variables were obtained. J…
Policy Effect and Mechanism of China’s MSRI on Inbound Tourism Along the Route
This paper adopted a difference-in-differences method and panel datasets were divided into 20 MSR countries and 60 non-MSR countries between 2010 and 2019 to identify the MSRI's effects and mechanisms behind on inbound tourism. Results show that the MSRI had a significant and direct positive effect on inbound tourism among associated countries. Compared with the tourist arrivals (ITN), the positive effect on the inbound tourism revenue (ITR) was …
Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province
Background: Bacterial dysentery (BD) is a leading cause of diarrhea-related mortality globally, with its incidence heavily influenced by environmental factors. However, a climate zone-specific predictive model for BD was currently lacking in Sichuan Province. Objective: This study aims to employ interpretable machine learning to explore the influence of environmental factors on BD incidence across different climate zones and to elucidate their in…
Geography (3 obras) · Biology (2 obras) · China (2 obras) · Ecology (2 obras) · Medicine (2 obras) · Animal Ecology and Behavior Studies (1 obra) · Archaeology (1 obra) · Business (1 obra) · Child Nutrition and Water Access (1 obra) · Climate change (1 obra)