Table S2.
Attributes of the selected studies
| Study | Type of study | Diarrhea | Climate group | Statistical model | Resolution | Country | HDI | RR (95% CI) | Period |
|---|---|---|---|---|---|---|---|---|---|
| Abu et al. 2018 | Cross-sectional | Watery | Tropical | Other | Daily | Ghana | Medium | 1.84 (1.5-2.27) | 2 months (November 2012- 31 December 2012) |
| Colston et al. 2020 | Cohort study | Watery | Tropical | GLM | Monthly | Peru | High | 2.67 (2.53-2.82) | 5 months (December 2011- May 2012) |
| Colston et al. 2020 (1) | Cohort study | Watery | Tropical | GLM | Monthly | Peru | High | 2.36 (2.25-2.47) | 5 months (December 2011- May 2012) |
| Emch 2000 | Case-Control | Watery | Tropical | Other | Daily | Bangladesh | Medium | 2.3 (2.21-2.4) | 36 months (January 1992-December 1994) |
| Gong et al. 2019 (1M) | Time-series Analysis | Watery | Temperate climate | GLM | Daily | China | High | 1.01 (0.96-1.06) | 55 months (January 2013- August 2017) |
| Gong et al. 2019 (1S) | Time-series Analysis | Watery | Temperate climate | GLM | Daily | China | High | 1.03 (0.99-1.07) | 55 months (January 2013- August 2017) |
| Gong et al. 2019 (2M) | Time-series Analysis | Watery | Temperate climate | GLM | Daily | China | High | 1.05 (1.02-1.09) | 55 months (January 2013- August 2017) |
| Gong et al. 2019 (2S) | Time-series Analysis | Watery | Temperate climate | GLM | Daily | China | High | 1.04 (1.01-1.07) | 55 months (January 2013- August 2017) |
| Harris et al. 2008 (1) | Cross-Sectional | Watery | Tropical | GLM | Monthly | Bangladesh | Medium | 1.11 (1.01-1.22) | 4 months (July- October 1998) |
| Harris et al. 2008 (2) | Cross-Sectional | Watery | Tropical | GLM | Monthly | Bangladesh | Medium | 1.29 (1.14-1.46) | 4 months (July- August 2004, September-October 2004) |
| Harris et al. 2008 (3) | Cross-Sectional | Watery | Tropical | GLM | Monthly | Bangladesh | Medium | 1.04 (0.94-1.15) | 3 months (July-September 2007) |
| Hashizume et al. 2008 | Time-series Analysis | Watery | Tropical | GLM | Weekly | Bangladesh | Medium | 5.84 (3.13-10.88) | 10 months (July 1998- April 1999) |
| Hashizume et al. 2008 (1) | Time-series Analysis | Watery | Tropical | GLM | Weekly | Bangladesh | Medium | 1.45 (1.27-1.66) | 10 months (July 1998- April 1999) |
| Heller et al. 2003 | Case-Control | Watery | Tropical | Other | Monthly | Brazil | High | 2.11 (1.75-2.55) | 3.5 months (December 1993- April 1994) |
| Hu et al. 2018 | Time-series Analysis | Bacillary dysentery | Temperate climate | Other | Monthly | China | High | 2.8 (2.54-3.08) | 60 months (2005-2009) |
| Lan et al. 2022 | Time-series Analysis | Watery | Subtropical | Other | Daily | China | High | 1.16 (1.0-1.34) | 36 months (2017-2019) |
| Liao et al. 2020 | Time-series Analysis | Dysentery & Watery | Temperate climate | Other | Daily | China | High | 1.1 (0.67-1.8) | 50 months (June 2013- August 2017) |
| Liao et al. 2020 (1) | Time-series Analysis | Dysentery & Watery | Temperate climate | Other | Daily | China | High | 1.06 (0.67-1.67) | 50 months (June 2013- August 2017) |
| Liu et al. 2015 | Time-series Analysis | Dysentery | Subtropical | GAMM | Monthly | China | High | 1.44 (1.18-1.76) | 84 months (January 2004 - December 2010) |
| Liu et al. 2016 | Time-series Analysis | Bacillary dysentery | Subtropical | DLNM | Weekly | China | High | 1.21 (1.06-1.38) | 42 months (April 2005- September 2011) |
| Liu et al. 2016 (1) | Time-series Analysis | Bacillary dysentery | Subtropical | DLNM | Weekly | China | High | 1.52 (1.09-2.13) | 42 months (April 2005- September 2011) |
| Liu et al. 2017 | Time-series Analysis | Bacillary dysentery | Subtropical | GAMM | Monthly | China | High | 0.57 (0.39-0.84) | 108 months (January 2004 - December 2012) |
| Liu et al. 2017 (1M) | Time-series Analysis | Bacillary dysentery | Subtropical | GAMM | Monthly | China | High | 1.17 (1.03-1.33) | 108 months (January 2004 - December 2012) |
| Liu et al. 2017 (1S) | Time-series Analysis | Bacillary dysentery | Subtropical | GAMM | Monthly | China | High | 1.39 (1.14-1.7) | 108 months (January 2004 - December 2012) |
| Liu et al. 2017 (2M) | Time-series Analysis | Bacillary dysentery | Subtropical | GAMM | Monthly | China | High | 1.4 (1.16-1.69) | 108 months (January 2004 - December 2012) |
| Liu et al. 2017 (2S) | Time-series Analysis | Bacillary dysentery | Subtropical | GAMM | Monthly | China | High | 1.78 (1.61-1.97) | 108 months (January 2004 - December 2012) |
| Liu et al. 2019 | Time-series Analysis | Bacillary dysentery & Watery | Subtropical | Other | Daily | China | High | 1.14 (0.8-1.62) | 60 months (2006–2010) |
| Liu et al. 2019 (1) | Time-series Analysis | Bacillary dysentery & Watery | Subtropical | Other | Daily | China | High | 1.09 (0.84-1.42) | 60 months (2006–2010) |
| Liu et al. 2018 | Time-series Analysis | Dysentery & Watery | Subtropical | DLNM | Weekly | China | High | 1.22 (1.05-1.42) | 96 months (2004- 2011) |
| Liu et al. 2018 (1) | Time-series Analysis | Dysentery & Watery | Subtropical | DLNM | Weekly | China | High | 1.22 (0.97-1.53) | 96 months (2004- 2011) |
| Luo et al. 2023 (M) | Time-series Analysis | Bacillary dysentery & Watery | Subtropical | DLNM | Daily | China | High | 1.92 (1.51-2.42) | 60 months (May 2016- September 2020) |
| Luo et al. 2023 (S) | Time-series Analysis | Bacillary dysentery & Watery | Subtropical | DLNM | Daily | China | High | 3.46 (1.96-6.1) | 60 months (May 2016- September 2020) |
| Ma et al. 2021 | Time-series Analysis | Bacillary dysentery | Subtropical | DLNM | Daily | China | High | 1.39 (1.21-1.59) | 144 month (2005- 2016) |
| Milojevic et al. 2012 | Cohort study | Watery | Tropical | GAMM | Monthly | Bangladesh | Medium | 1.25 (0.86-1.82) | 6 months (August 2004- February 2005) |
| Ni et al. 2014 | Time-series Analysis | Bacillary dysentery & Watery | Temperate climate | GAMM | Monthly | China | High | 1.66 (1.52-1.82) | 72 months (2004 to 2009) |
| Ni et al. 2014 (1M) | Time-series Analysis | Bacillary dysentery & Watery | Temperate climate | GAMM | Monthly | China | High | 1.55 (1.43-1.68) | 72 months (2004 to 2009) |
| Ni et al. 2014 (1S) | Time-series Analysis | Bacillary dysentery & Watery | Temperate climate | GAMM | Monthly | China | High | 1.74 (1.56-1.94) | 72 months (2004 to 2009) |
| Thompson et al. 2015 | Spatial Ecological Study | Watery | Tropical | GLMM | Weekly | Vietnam | Medium | 1.04 (1.03-1.05) | 72 months (2005- 2010) |
| Thompson et al. 2015 (1) | Spatial Ecological Study | Watery | Tropical | GLMM | Weekly | Vietnam | Medium | 1.02 (1.01-1.03) | 72 months (2005- 2010) |
| Xu et al. 2017 | Time-series Analysis | Bacillary dysentery | Temperate climate | GAMM | Weekly | China | High | 1.17 (1.03-1.33) | 84 months (2004- 2010) |
| Zhang et al. 2016 | Time-series Analysis | Bacillary dysentery & Watery | Temperate climate | Other | Daily | China | High | 1.16 (1.1-1.22) | 84 months (January, 2005- December, 2011) |
| Zhang et al. 2019 | Time-series Analysis | Watery | Temperate climate | Other | Weekly | China | High | 1.11 (1.01-1.22) | 50.5 months (June, 2013- August 2017) |
HDI: Human Development Index, RR: Relative Risk, CIs: Confidence Intervals, DLNM: Distributed Lag Non-linear Models, GAMM: Generalized Additive Models for Location, Scale, and Shape, GLM: Generalized Linear Models, GLMM: Generalized Linear Mixed Models