Meteorological and social conditions contribute to infectious diarrhea in China

Xiang, Yang; Xiong, Weifeng; Huang, Tianyao; He, Jia

doi:10.1038/s41598-021-00932-0

Cited by 12 publications

(7 citation statements)

References 106 publications

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“…The results highlighted the susceptibility of children aged <5 years; particularly, those aged 0 to 2 years accounted for a significant proportion (196,905/388,636, 50.7%) of the OID cases in Fujian Province. This finding aligns with previous research indicating their susceptibility to OID [42][43][44]. Viral pathogens such as rotavirus, adenovirus, norovirus, and Salmonella were the 4 most common pathogens in China [45].…”

Section: Principal Findingssupporting

confidence: 90%

Epidemic Characteristics, Spatiotemporal Pattern, and Risk Factors of Other Infectious Diarrhea in Fujian Province From 2005 to 2021: Retrospective Analysis

Lu,

Zhu,

et al. 2023

JMIR Public Health Surveill

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Background Other infectious diarrhea (OID) continues to pose a significant public health threat to all age groups in Fujian Province. There is a need for an in-depth analysis to understand the epidemiological pattern of OID and its associated risk factors in the region. Objective In this study, we aimed to describe the overall epidemic characteristics and spatiotemporal pattern of OID in Fujian Province from 2005 to 2021 and explore the linkage between sociodemographic and environmental factors and the occurrence of OID within the study area. Methods Notification data for OID in Fujian were extracted from the China Information System for Disease Control and Prevention. The spatiotemporal pattern of OID was analyzed using Moran index and Kulldorff scan statistics. The seasonality of and short-term impact of meteorological factors on OID were examined using an additive decomposition model and a generalized additive model. Geographical weighted regression and generalized linear mixed model were used to identify potential risk factors. Results A total of 388,636 OID cases were recorded in Fujian Province from January 2005 to December 2021, with an average annual incidence of 60.3 (SD 16.7) per 100,000 population. Children aged <2 years accounted for 50.7% (196,905/388,636) of all cases. There was a steady increase in OID from 2005 to 2017 and a clear seasonal shift in OID cases from autumn to winter and spring between 2005 and 2020. Higher maximum temperature, atmospheric pressure, humidity, and precipitation were linked to a higher number of deseasonalized OID cases. The spatial and temporal aggregations were concentrated in Zhangzhou City and Xiamen City for 17 study years. Furthermore, the clustered areas exhibited a dynamic spreading trend, expanding from the southernmost Fujian to the southeast and then southward over time. Factors such as densely populated areas with a large <1-year-old population, less economically developed areas, and higher pollution levels contributed to OID cases in Fujian Province. Conclusions This study revealed a distinct distribution of OID incidence across different population groups, seasons, and regions in Fujian Province. Zhangzhou City and Xiamen City were identified as the major hot spots for OID. Therefore, prevention and control efforts should prioritize these specific hot spots and highly susceptible groups.

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Section: Principal Findingssupporting

confidence: 90%

Epidemic Characteristics, Spatiotemporal Pattern, and Risk Factors of Other Infectious Diarrhea in Fujian Province From 2005 to 2021: Retrospective Analysis

Lu,

Zhu,

et al. 2023

JMIR Public Health Surveill

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“…A similar positive relationship between diarrhea and temperature has been reported in Latin America and Africa (Thiam et al 2017). The rapid number of cases of diarrhea increased in China because speed up in relative humidity and temperature (Yang et al 2021). The latest investigation assesses in Nepal, there is a 4.4% greater chance that a child under the age of five will develop diarrhea at 1°C higher in mean temperature (Dhimal et al 2022).…”

Section: Introductionsupporting

confidence: 57%

Treatment of diarrhea and dysentery through ethnomedicinal plants in the Jaunpur Region of Garhwal Himalaya, India

Lal,

Dangwal,

Rawat

2024

Ethnobot. Res. App.

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Background: Diarrhea and dysentery are leading causes of death and illness in rural areas of developing countries in worldwide and neighboring countries. Diarrhea ranking as the third most common cause of child mortality in India. It contributes to 13% of deaths in children under five years annually. Even at the present time, majority of the rural people of the country still rely on regional plants resources to treat many diseases, including diarrhea and dysentery. The aim of the present study was to document and record the utilization of ethnomedicinal plants and various herbal remedies for the management of gastrointestinal ailments, with a specific focus on combating diarrhea and dysentery in the rural area of Garhwal Himalaya, specifically the Jaunpur region in the study site.Methods: Ethnobotanical investigation was carried out in 12 villages (namely Dhanaulti, Rautu ki Beli, Nainbagh, Kempty, Thatyur, Almas, Kyari, Pantwari, Devalsari, Teva, Naag Tibba, and Ontal) with traditional practices, interviewing 138 local informants (90 males and 48 females). The various methods (group discussions, meetings, and questionnaires) to gather ethnomedicinal knowledge for curing diarrhea and dysentery treatment. Furthermore, in this study, the informant's consensus factor (ICF), use value (UV), and fidelity index (FI%) were also discussed for each of the studied species.Results: In this study, local informants utilized a total of 30 ethnomedicinal plant species (from 28 genera and 30 families) to treat diarrhea and dysentery. The percentage of plant species used for specific ailments was: diarrhea (32% spp.), dysentery (20%), digestive problems (14%), stomach problems (12%), gastroenteritis (8%), appetizers (6%), dyspepsia (4%), oral ulcers (2%), and flatulence (2%). The residents use specific plant parts for ethnomedicinal purposes, with the following distribution: bark (3% spp.), fruits (10%), flowers (3%), leaves (45%), rhizomes (7%), roots (13%), seeds (3%), stems (7%), twigs (3%), and whole plant (6%). The herbal preparations in use include decoction (56% spp.), infusion (20%), juice (12%), paste (8%), and powder (4%). Conclusion:The present communication provides valuable insights into the indigenous utilization and availability of ethnomedicinal plants for treating diarrhea and dysentery. It underscores the importance of documenting and preserving this rich reservoir of knowledge passed down through generations for future research endeavors.

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“…Chou et al ( 2010 ) found that changes in the maximum temperature and extreme rainfall were strongly related to diarrhea-associated morbidity, especially among children (0–14 years) and the elderly (40–64 years). A study in China revealed that diarrhea incidence increased with increase in temperature and relative humidity (Yang et al 2021 ). The latter authors also found that a 1 °C rise in temperature increases the rates of diarrhea cases by 5.6%.…”

Section: Introductionmentioning

confidence: 99%

Temporal trend of diarrhea morbidity rate with climate change: Egypt as a case study

Saad-Hussein

Helmy

Ellaithy

et al. 2022

Environ Sci Pollut Res

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Many studies have detected a relationship between diarrhea morbidity rates with the changes in precipitation, temperature, floods, droughts, water shortage, etc. But, most of the authors were cautious in their studies, because of the lack of empirical climate-health data and there were large uncertainties in the future projections. The study aimed to refine the link between the morbidity rates of diarrhea in some Egyptian governorates representative of the three Egyptian geographical divisions with the meteorological changes that occurred in the 2006–2016 period for which the medical data are available, as a case study. Medical raw data was collected from the Information Centre Department of the Egyptian Ministry of Health and Population. The meteorological data of temperature and precipitation extremes were defined as data outside the 10th–90th percentile range of values of the period of study, and their analysis was done using a methodology similar to the one recommended by the WMO and integrated in the CLIMDEX software. Relationships between the morbidity rates of diarrhea in seven Egyptian governorates and the meteorological changes that occurred in the period 2006 to 2016 were analyzed using multiple linear regression analysis to identify the most effective meteorological factor that affects the trend of morbidity rate of diarrhea in each governorate. Statistical analysis revealed that some meteorological parameters can be used as predictors for morbidity rates of diarrhea in Cairo, Alexandria, and Gharbia, but not in Aswan, Behaira, and Dakahlia where the temporal evolution cannot be related with meteorology. In Red Sea, there was no temporal trend and no significant relationships between the diarrhea morbidity rate and meteorological parameters. The predictor meteorological parameters for morbidity rates of diarrhea were found to be depending on the geographic locations and infrastructures in these governorates. It was concluded that the meteorological data that can be used as predictors for the morbidity rate of diarrhea is depending on the geographical location and infrastructures of the target location. The socioeconomic levels as well as the infrastructures in the governorate must be considered confounders in future studies.

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Meteorological and social conditions contribute to infectious diarrhea in China

Cited by 12 publications

References 106 publications

Epidemic Characteristics, Spatiotemporal Pattern, and Risk Factors of Other Infectious Diarrhea in Fujian Province From 2005 to 2021: Retrospective Analysis

Epidemic Characteristics, Spatiotemporal Pattern, and Risk Factors of Other Infectious Diarrhea in Fujian Province From 2005 to 2021: Retrospective Analysis

Treatment of diarrhea and dysentery through ethnomedicinal plants in the Jaunpur Region of Garhwal Himalaya, India

Temporal trend of diarrhea morbidity rate with climate change: Egypt as a case study

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