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Additional file 5. Monitoring of the cases by the XN-31p (PD mode) during the treatment of malaria. a The M scattergrams obtained by the PD mode from daily measurements. b Changes in parasitaemia in each case during the monitoring period. The vertical axes show parasitaemia detected by microscopy (dashed lines) and PD (solid lines) mode. The black arrows indicate the days when parasite clearance in the patients’ blood was declared by microscopy, and the gray arrows indicate those detected by PD mode. Pf: P. falciparum, Pv: P. vivax, Pm: P. malariae, Pk: P. knowlesi.

Additional file 1. A flowchart illustrating the counting manner in the microscopic observations.

Additional file 1: Figure S1. Observed and projected DALY rate (per 100,000 population) in the 20–49 age group for cardiovascular diseases for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S2. Observed and projected DALY rates (per 100,000 population) in the 50–69 age group for cardiovascular diseases for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S3. Observed and projected DALY rates (per 100,000 population) in the ≥70 age group for cardiovascular diseases for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S4. Observed and projected DALY rates (per 100,000 population) for cancer in the 20–49 age group for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S5. Observed and projected DALY rates (per 100,000 population) in the 50–69 age group for cancer for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S6. Observed and projected DALY rates (per 100,000 population) in the ≥70 age group for cancer for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S7. Observed and projected DALY rates (per 100,000 population) in the 20–49 age group for diabetes and kidney diseases for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S8. Observed and projected DALY rates (per 100,000 population) in the 50–69 age group for diabetes and kidney diseases for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Figure S9. Observed and projected DALY rates (per 100,000 population) in the ≥70 age group for diabetes and kidney diseases for reference forecast and three alternative scenarios, 1990–2040: (A) male, (B) female, and (C) total population. The black lines represent the observed values, and the pink lines and the grey areas before 2016 represent the smoothed lines and their projection intervals. Table S1. Estimated sets of parameters in ARIMA (p, d, q) and Akaike Information Criteria (AIC). Table S2. Predicted DALY rates (95% prediction intervals) for cardiovascular disease by age groups, sex (male, female), and total population, 2017–2040. Table S3. Predicted DALY rates (95% prediction intervals) for cancer by age groups, sex (male, female), and total population, 2017–2040. Table S4. Predicted DALY rates (95% prediction intervals) for diabetes and kidney diseases by age groups, sex (male, female), and total population, 2017–2040.

Additional file 1: Supplementary Figure 1. Observed and predicted DALY rate (per 100,000 population) in the 20–49 age group for cardiovascular diseases for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 2. Observed and predicted DALY rate (per 100,000 population) in the 50–69 age group for cardiovascular diseases for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 3. Observed and predicted DALY rate (per 100,000 population) in the ≥70 age group for cardiovascular diseases for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 4. Observed and predicted DALY rate (per 100,000 population) for chronic kidney diseases in the 20–49 age group for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 5. Observed and predicted DALY rate (per 100,000 population) in the 50–69 age group for chronic kidney diseases for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 6. Observed and predicted DALY rate (per 100,000 population) in the ≥70 age group for chronic kidney diseases for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 7. Observed and predicted DALY rate (per 100,000 population) in the 20–49 age group for stomach cancer for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 8. Observed and predicted DALY rate (per 100,000 population) in the 50–69 age group for stomach cancer for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Figure 9. Observed and predicted DALY rate (per 100,000 population) in the ≥70 age group for stomach cancer for reference forecast and three alternative scenarios, 1990–2040: (A) men, (B) women, and (C) both sexes combined. 1: best scenario; 2: moderate scenario; 3: worse scenario. It is important to note that the y-axis scales are different for each panel in order to make the differences between scenarios easier to understand. Supplementary Table 1. Predicted values of average salt intake (grams per day) for reference forecast and three alternative scenarios, by age groups for men (A), women (B), and both sexes combined (C); and for all ages by sex (D), 2017–2040. 1: best scenario; 2: moderate scenario; 3: worse scenario. Supplementary Table 1. Predicted values of covariates by age groups for men (A), women (B), and both sexes combined (C); and for all ages by sex (D), 2017–2040. SDI: socio-demographic index. Supplementary Table 2. Estimated sets of parameters in ARIMA (p, d, q) and Akaike Information Criteria (AIC). Supplementary Table 3. Projected DALY rates for cardiovascular diseases (1), chronic kidney diseases (2), and stomach cancer (3) by age groups for men (A), women (B), and both sexes combined (C); and for all ages by sex (D), 2017–2040. 1: best scenario; 2: moderate scenario; 3: worse scenario. Supplementary Table 4. Predicted DALY rates (95% prediction intervals) for cardiovascular diseases (1), chronic kidney diseases (2), and stomach cancer (3) by age groups for men (A), women (B), and both sexes combined (C); and for all ages by sex (D), 2017–2040.