Schisto (.xlsx) =============== :download:`Download original .xlsx file from GitHub ` .. contents:: Parameters ---------- ==== ============================================= ======= =================== ================== .. Parameter Value Reference Area ==== ============================================= ======= =================== ================== 0 delay\_till\_hsi\_a\_repeated 5 assumption HSI 1 delay\_till\_hsi\_b\_repeated 20 assumption HSI 2 prob\_sent\_to\_lab\_test\_children 0.9 assumption HSI 3 prob\_sent\_to\_lab\_test\_adults 0.6 assumption HSI 4 PZQ\_efficacy 1 assumption HSI 5 high\_intensity\_threshold\_haematobium 20 WHO transmission model 6 high\_intensity\_threshold\_PSAC\_haematobium 5 assumption transmission model 7 low\_intensity\_threshold\_haematobium 2 assumption transmission model 8 worms\_fecundity\_haematobium 0.005 Truscott et al transmission model 9 worm\_lifespan\_haematobium 6 Anderson et al 2016 transmission model 10 beta\_PSAC\_haematobium 0.3 Truscott et al transmission model 11 beta\_SAC\_haematobium 1 Truscott et al transmission model 12 beta\_Adults\_haematobium 0.05 Truscott et al transmission model 13 high\_intensity\_threshold\_mansoni 46 WHO transmission model 14 high\_intensity\_threshold\_PSAC\_mansoni 20 assumption transmission model 15 low\_intensity\_threshold\_mansoni 2 assumption transmission model 16 worms\_fecundity\_mansoni 0.0006 Chan et al transmission model 17 worm\_lifespan\_mansoni 4 Anderson et al 2017 transmission model 18 beta\_PSAC\_mansoni 0.3 Truscott et al transmission model 19 beta\_SAC\_mansoni 1 Truscott et al transmission model 20 beta\_Adults\_mansoni 0.05 Truscott et al transmission model ==== ============================================= ======= =================== ================== Symptoms -------- ==== ================== ====================== ============ ========================= ================= .. Symptom HSB\_mapped\_symptom Prevalence Reference Infection\_type ==== ================== ====================== ============ ========================= ================= 0 anemia other 0.9 assumption both 1 fever fever 0.3 assumption both 2 haematuria other 0.625 van der Werf et al., 2003 haematobium 3 hydronephrosis stomach\_ache 0.083 van der Werf et al., 2003 haematobium 4 dysuria stomach\_ache 0.2857 van der Werf et al., 2003 haematobium 5 bladder\_pathology stomach\_ache 0.7857 van der Werf et al., 2003 haematobium 6 ascites stomach\_ache 0.0054 van der Werf et al., 2003 mansoni 7 diarrhoea diarrhoea 0.0144 van der Werf et al., 2003 mansoni 8 vomiting vomit 0.0172 van der Werf et al., 2003 mansoni 9 hepatomegaly stomach\_ache 0.1574 van der Werf et al., 2003 mansoni ==== ================== ====================== ============ ========================= ================= DALYs ----- ==== ==================== ======================================== ======================================= ================================================================================================================================ =================== ======= ======== .. TLO\_Sequela\_Code Sequela Health state name Health state lay description disability weight lower uppper ==== ==================== ======================================== ======================================= ================================================================================================================================ =================== ======= ======== 0 254 Mild diarrhea due to schistosomiasis Diarrhea, mild has diarrhea three or more times a day with occasional discomfort in the belly. 0.074 0.049 0.104 1 255 Severe anemia due to schistosomiasis Anemia, severe feels very weak, tired and short of breath, and has problems with activities that require physical effort or deep concentration. 0.149 0.101 0.209 2 256 Hematemesis due to schistosomiasis Gastric bleeding vomits blood and feels nauseous. 0.325 0.209 0.462 3 257 Hepatomegaly due to schistosomiasis Abdominopelvic problem, mild has some pain in the belly that causes nausea but does not interfere with daily activities. 0.011 0.005 0.021 4 258 Moderate anemia due to schistosomiasis Anemia, moderate feels moderate fatigue, weakness, and shortness of breath after exercise, making daily activities more difficult. 0.052 0.034 0.076 5 259 Mild anemia due to schistosomiasis Anemia, mild feels slightly tired and weak at times, but this does not interfere with normal daily activities. 0.004 0.001 0.008 6 260 Hydronephrosis due to schistosomiasis Abdominopelvic problem, mild has some pain in the belly that causes nausea but does not interfere with daily activities. 0.011 0.005 0.021 7 261 Ascites due to schistosomiasis Abdominopelvic problem, moderate has pain in the belly and feels nauseous. The person has difficulties with daily activities. 0.114 0.078 0.159 8 262 Mild schistosomiasis Infectious disease, acute episode, mild has a low fever and mild discomfort , but no difficulty with daily activities. 0.006 0.002 0.012 9 263 Dysuria due to schistosomiasis Abdominopelvic problem, mild has some pain in the belly that causes nausea but does not interfere with daily activities. 0.011 0.005 0.021 10 264 Bladder pathology due to schistosomiasis Abdominopelvic problem, mild has some pain in the belly that causes nausea but does not interfere with daily activities. 0.011 0.005 0.021 ==== ==================== ======================================== ======================================= ================================================================================================================================ =================== ======= ======== District_Params_haematobium --------------------------- ==== ============= ======== =========== =========== ============== =========== ============ ==================================================== .. District Region Reservoir R0\_value alpha\_value Reference Prevalence Reference\_prevalence ==== ============= ======== =========== =========== ============== =========== ============ ==================================================== 0 Balaka Southern 0 1.12425 0.061841 fitted 0.154602 2011 SCI / MoH, ESPEN 1 Blantyre Southern 1.87216 1.12956 0.107616 fitted 0.26904 rural, 2011 SCI / MoH. ESPEN 2 Blantyre City Southern 0 1.1253 0.04664 fitted 0.1166 2011 SCI / MoH 3 Chikwawa Southern 0 1.1248 0.0805 fitted 0.20125 2008 WFP / MoH, ESPEN 4 Chiradzulu Southern 2.81222 1.14141 0.1377 fitted 0.34425 2010 MoH, ESPEN 5 Chitipa Northern 0 1.12577 0.08905 fitted 0.222625 2010 MoH, ESPEN 6 Dedza Central 0 1.12423 0.0698 fitted 0.1745 2010 MoH, ESPEN 7 Dowa Central 0 0 0 fitted 0 ESPEN 8 Karonga Northern 0 1.12421 0.0643 fitted 0.16075 2010 COM 9 Kasungu Central 0 1.12471 0.0793714 fitted 0.198429 2008 WFP/MoH, 2010 MoH, ESPEN 10 Likoma Northern 0 1.13144 0.114 fitted 0.285 ESPEN 11 Lilongwe Central 0 1.12704 0.0967167 fitted 0.241792 2008 WFP / MoH, Jemu SK et al, 2011 SCI/MoH, , ESPEN 12 Lilongwe City Central 0 1.12437 0.05852 fitted 0.1463 2011 SCI / MoH 13 Machinga Southern 0 1.12429 0.0718 fitted 0.1795 2010 MoH, ESPEN 14 Mangochi Southern 0 1.12421 0.0643333 fitted 0.160833 ESPEN 15 Mchinji Central 0 1.12448 0.076 fitted 0.19 2010 MoH, ESPEN 16 Mulanje Southern 3.05 1.14496 0.144 fitted 0.36 2010 MoH, ESPEN 17 Mwanza Southern 0 1.12506 0.0832457 fitted 0.208114 2011 SCI / MoH, ESPEN 18 Mzimba Northern 0 1.12536 0.046129 fitted 0.115323 2010 MoH, ESPEN 19 Mzuzu City Northern 0 1.13018 0.02004 fitted 0.0501 2011 SCI / MoH 20 Neno Southern 0 1.12631 0.03896 fitted 0.0974 2011 SCI / MoH, ESPEN 21 Nkhata Bay Northern 0 1.13233 0.01225 fitted 0.030625 ESPEN 22 Nkhotakota Central 2.19995 1.13321 0.119188 fitted 0.297971 2010 MoH, ESPEN 23 Nsanje Southern 2.39017 1.13559 0.125333 fitted 0.313333 2008 WFP / MoH, ESPEN 24 Ntcheu Central 0 1.12421 0.0684143 fitted 0.171036 2008 WFP/MoH, 2010 MoH, ESPEN 25 Ntchisi Central 0 1.12433 0.073 fitted 0.1825 ESPEN 26 Phalombe Southern 5.31723 1.1841 0.188 fitted 0.47 ESPEN 27 Rumphi Northern 0 0 0 fitted 0 ESPEN 28 Salima Central 0 1.12873 0.0261176 fitted 0.0652941 ESPEN 29 Thyolo Southern 0 1.12421 0.06865 fitted 0.171625 2010 MoH, ESPEN 30 Zomba Southern 0 1.1262 0.0397333 fitted 0.0993333 ESPEN 31 Zomba City Southern 0 1.1262 0.0397333 fitted 0.0993333 ESPEN copy from Zomba ==== ============= ======== =========== =========== ============== =========== ============ ==================================================== District_Params_mansoni ----------------------- ==== ============= ======== =========== =========== ============== =========== ============ =============================== .. District Region Reservoir R0\_value alpha\_value Reference Prevalence Reference\_prevalence ==== ============= ======== =========== =========== ============== =========== ============ =============================== 0 Balaka Southern 0.0103949 3.28891 0.0528333 fitted 0.00944444 ESPEN 1 Blantyre Southern 0.0796066 1.46175 0.0652093 fitted 0.0506977 ESPEN 2 Blantyre City Southern 0.0796066 1.46175 0.0652093 fitted 0.0506977 copy from Blantyre 3 Chikwawa Southern 0.0243277 2.18968 0.056 fitted 0.02 ESPEN 4 Chiradzulu Southern 0.158777 1.26817 0.07445 fitted 0.0815 ESPEN 5 Chitipa Northern 0 0 0.05 fitted 0 ESPEN 6 Dedza Central 0 0 0.05 fitted 0 ESPEN 7 Dowa Central 0 0 0.05 fitted 0 ESPEN 8 Karonga Northern 0.0891927 1.42196 0.0665 fitted 0.055 average of all mansoni in Espen 9 Kasungu Central 0 0 0.05 fitted 0 ESPEN 10 Likoma Northern 1.12359 1.06177 0.125 fitted 0.25 ESPEN 11 Lilongwe Central 0.187713 1.23539 0.0772459 fitted 0.0908197 ESPEN 12 Lilongwe City Central 0.187713 1.23539 0.0772459 fitted 0.0908197 copy from Lilongwe 13 Machinga Southern 0 0 0.05 fitted 0 ESPEN 14 Mangochi Southern 0.114042 1.34757 0.0695882 fitted 0.0652941 ESPEN 15 Mchinji Central 0 0 0.05 fitted 0 ESPEN 16 Mulanje Southern 0 0 0.05 fitted 0 ESPEN 17 Mwanza Southern 0.0411611 1.78166 0.0592308 fitted 0.0307692 ESPEN 18 Mzimba Northern 0.0236342 2.21729 0.0558548 fitted 0.0195161 ESPEN 19 Mzuzu City Northern 0.0891927 1.42196 0.0665 fitted 0.055 average of all mansoni in Espen 20 Neno Southern 0 0 0.05 fitted 0 ESPEN 21 Nkhata Bay Northern 0.0377989 1.83686 0.058625 fitted 0.02875 ESPEN 22 Nkhotakota Central 0.172451 1.25145 0.0758 fitted 0.086 ESPEN 23 Nsanje Southern 0 0 0.05 fitted 0 ESPEN 24 Ntcheu Central 0.0194311 2.42068 0.05495 fitted 0.0165 ESPEN 25 Ntchisi Central 0.203152 1.22138 0.07865 fitted 0.0955 ESPEN 26 Phalombe Southern 0 0 0.05 fitted 0 ESPEN 27 Rumphi Northern 0 0 0.05 fitted 0 ESPEN 28 Salima Central 0.190781 1.23244 0.0775294 fitted 0.0917647 ESPEN 29 Thyolo Southern 0 0 0.05 fitted 0 ESPEN 30 Zomba Southern 0.172451 1.25145 0.0758 fitted 0.086 ESPEN 31 Zomba City Southern 0.172451 1.25145 0.0758 fitted 0.086 copy from Zomba ==== ============= ======== =========== =========== ============== =========== ============ =============================== MDA_historical_Coverage ----------------------- ==== ============= ======== ====== =============== ============== ================= ======================================================================== .. District Region Year Coverage PSAC Coverage SAC Coverage Adults Reference ==== ============= ======== ====== =============== ============== ================= ======================================================================== 0 Blantyre Southern 2015 0 0.78 0 data 1 Blantyre Southern 2016 0 0.85 0.44 interpolated, mean of 2015 and 2017 2 Blantyre Southern 2017 0 0.92 0.88 data 3 Blantyre Southern 2018 0 0.87 0.88 data 4 Chiradzulu Southern 2015 0 0.73 0.02 data 5 Chiradzulu Southern 2016 0 0.8 0.155 interpolated, mean of 2015 and 2017 6 Chiradzulu Southern 2017 0 0.87 0.29 value over 100% in the data for SAC so instead we use 2018 value 7 Chiradzulu Southern 2018 0 0.87 0.9 data 8 Mulanje Southern 2015 0 0.48 0.96 data 9 Mulanje Southern 2016 0 0.605 0.96 interpolated, mean of 2015 and 2017 10 Mulanje Southern 2017 0 0.73 0.96 values over 100% in the data so instead we used values from 2018 11 Mulanje Southern 2018 0 0.73 0.96 value over 100% in the data for Adults so instead we use value for 2015 12 Nkhotakota Central 2015 0 0.5 0.01 value over 100% in the data for SAC so instead we used 0.5 13 Nkhotakota Central 2016 0 0.675 0.22 interpolated, mean of 2015 and 2017 14 Nkhotakota Central 2017 0 0.85 0.43 value over 100% in the data for SAC so instead we used 2018 value 15 Nkhotakota Central 2018 0 0.85 0.89 data 16 Nsanje Southern 2015 0 0.75 0 data 17 Nsanje Southern 2016 0 0.795 0.41 interpolated, mean of 2015 and 2017 18 Nsanje Southern 2017 0 0.84 0.82 data 19 Nsanje Southern 2018 0 0.9 0.88 data 20 Phalombe Southern 2015 0 0.92 0.04 data 21 Phalombe Southern 2016 0 0.88 0.445 interpolated, mean of 2015 and 2017 22 Phalombe Southern 2017 0 0.84 0.85 data 23 Phalombe Southern 2018 0 0.86 0.92 data 24 Balaka Southern 2015 0 0.43 0 data 25 Balaka Southern 2016 0 0.65 0.44 interpolated, mean of 2015 and 2017 26 Balaka Southern 2017 0 0.87 0.88 data 27 Balaka Southern 2018 0 0.83 0.89 data 28 Blantyre City Southern 2015 0 0.78 0 data 29 Blantyre City Southern 2016 0 0.85 0.44 interpolated, mean of 2015 and 2017 30 Blantyre City Southern 2017 0 0.92 0.88 data 31 Blantyre City Southern 2018 0 0.87 0.88 data 32 Chikwawa Southern 2015 0 0.65 0 data 33 Chikwawa Southern 2016 0 0.765 0.49 interpolated, mean of 2015 and 2017 34 Chikwawa Southern 2017 0 0.88 0.98 data 35 Chikwawa Southern 2018 0 0.74 0.52 data 36 Chitipa Northern 2015 0 0.62 0 data 37 Chitipa Northern 2016 0 0.74 0.345 interpolated, mean of 2015 and 2017 38 Chitipa Northern 2017 0 0.86 0.69 errors in the data so instead we use2018 data 39 Chitipa Northern 2018 0 0.86 0.69 data 40 Dedza Central 2015 0 0.72 0 data 41 Dedza Central 2016 0 0.81 0.445 interpolated, mean of 2015 and 2017 42 Dedza Central 2017 0 0.9 0.89 data 43 Dedza Central 2018 0 0.95 0.95 data 44 Dowa Central 2015 0 0.85 0.02 data 45 Dowa Central 2016 0 0.85 0.435 interpolated, mean of 2015 and 2017 46 Dowa Central 2017 0 0.85 0.85 data 47 Dowa Central 2018 0 0.8 0.77 data 48 Karonga Northern 2015 0 0.97 0 data 49 Karonga Northern 2016 0 0.91 0.435 interpolated, mean of 2015 and 2017 50 Karonga Northern 2017 0 0.85 0.87 data 51 Karonga Northern 2018 0 0.89 0.84 data 52 Kasungu Central 2015 0 0.89 0 data 53 Kasungu Central 2016 0 0.88 0.35 interpolated, mean of 2015 and 2017 54 Kasungu Central 2017 0 0.87 0.7 data 55 Kasungu Central 2018 0 0.82 0.86 data 56 Likoma Northern 2015 0 0.52 0.26 data 57 Likoma Northern 2016 0 0.685 0.615 interpolated, mean of 2015 and 2017 58 Likoma Northern 2017 0 0.85 0.97 no data so we used Lilongwe data for 2017 and 2018 59 Likoma Northern 2018 0 0.83 0.9 no data, random 60 Lilongwe Central 2015 0 0.88 0.04 data 61 Lilongwe Central 2016 0 0.865 0.505 interpolated, mean of 2015 and 2017 62 Lilongwe Central 2017 0 0.85 0.97 data 63 Lilongwe Central 2018 0 0.83 0.9 data 64 Lilongwe City Central 2015 0 0.88 0.04 data 65 Lilongwe City Central 2016 0 0.865 0.505 interpolated, mean of 2015 and 2017 66 Lilongwe City Central 2017 0 0.85 0.97 data 67 Lilongwe City Central 2018 0 0.83 0.9 data 68 Machinga Southern 2015 0 0.45 0 data 69 Machinga Southern 2016 0 0.68 0.46 interpolated, mean of 2015 and 2017 70 Machinga Southern 2017 0 0.91 0.92 data 71 Machinga Southern 2018 0 0.93 0.97 data 72 Mangochi Southern 2015 0 0.82 0.01 data 73 Mangochi Southern 2016 0 0.85 0.49 interpolated, mean of 2015 and 2017 74 Mangochi Southern 2017 0 0.88 0.97 data 75 Mangochi Southern 2018 0 0.73 0.75 data 76 Mchinji Central 2015 0 0.77 0 data 77 Mchinji Central 2016 0 0.815 0.435 interpolated, mean of 2015 and 2017 78 Mchinji Central 2017 0 0.86 0.87 data 79 Mchinji Central 2018 0 0.83 0.82 data 80 Mwanza Southern 2015 0 0.5 0 errors in the data for SAC so instead we used 0.5 81 Mwanza Southern 2016 0 0.675 0.415 interpolated, mean of 2015 and 2017 82 Mwanza Southern 2017 0 0.85 0.83 data 83 Mwanza Southern 2018 0 0.75 0.72 data 84 Mzimba Northern 2015 0 0.41 0.03 data for Mzimba South 85 Mzimba Northern 2016 0 0.7 0.48 interpolated, mean of 2015 and 2017 86 Mzimba Northern 2017 0 0.99 0.93 value over 100% in the data for Adults so instead we used value for 2018 87 Mzimba Northern 2018 0 0.78 0.93 data for Mzimba South 88 Mzuzu City Northern 2015 0 0.83 0 no data, so copied from another Northern with data, Rumphi 89 Mzuzu City Northern 2016 0 0.855 0.435 no data, so copied from another Northern with data, Rumphi 90 Mzuzu City Northern 2017 0 0.88 0.87 no data, so copied from another Northern with data, Rumphi 91 Mzuzu City Northern 2018 0 0.92 0.89 no data, so copied from another Northern with data, Rumphi 92 Neno Southern 2015 0 0.8 0 data 93 Neno Southern 2016 0 0.82 0.395 interpolated, mean of 2015 and 2017 94 Neno Southern 2017 0 0.84 0.79 data 95 Neno Southern 2018 0 0.87 0.87 data 96 Nkhata Bay Northern 2015 0 0.5 0.76 value over 100% in the data for SAC so instead we used 0.5 97 Nkhata Bay Northern 2016 0 0.66 0.765 interpolated, mean of 2015 and 2017 98 Nkhata Bay Northern 2017 0 0.82 0.77 data 99 Nkhata Bay Northern 2018 0 0.81 0.8 data 100 Ntcheu Central 2015 0 0.91 0 data 101 Ntcheu Central 2016 0 0.865 0.415 interpolated, mean of 2015 and 2017 102 Ntcheu Central 2017 0 0.82 0.83 data 103 Ntcheu Central 2018 0 0.84 0.87 data 104 Ntchisi Central 2015 0 0.5 0 value over 100% in the data for SAC so instead we used 0.5 105 Ntchisi Central 2016 0 0.66 0.45 interpolated, mean of 2015 and 2017 106 Ntchisi Central 2017 0 0.82 0.9 data 107 Ntchisi Central 2018 0 0.87 0.83 data 108 Rumphi Northern 2015 0 0.83 0 data 109 Rumphi Northern 2016 0 0.855 0.435 interpolated, mean of 2015 and 2017 110 Rumphi Northern 2017 0 0.88 0.87 data 111 Rumphi Northern 2018 0 0.92 0.89 data 112 Salima Central 2015 0 0.5 0.33 value over 100% in the data for SAC so instead we used 0.5 113 Salima Central 2016 0 0.675 0.6 interpolated, mean of 2015 and 2017 114 Salima Central 2017 0 0.85 0.87 data 115 Salima Central 2018 0 0.85 0.78 value over 100% in the data for SAC so instead we used 2017 value 116 Thyolo Southern 2015 0 0.63 0.04 data 117 Thyolo Southern 2016 0 0.745 0.395 interpolated, mean of 2015 and 2017 118 Thyolo Southern 2017 0 0.86 0.75 data 119 Thyolo Southern 2018 0 0.88 0.85 data 120 Zomba Southern 2015 0 0.71 0 data 121 Zomba Southern 2016 0 0.81 0.39 interpolated, mean of 2015 and 2017 122 Zomba Southern 2017 0 0.91 0.78 data 123 Zomba Southern 2018 0 0.91 0.87 data 124 Zomba City Southern 2015 0 0.71 0 data 125 Zomba City Southern 2016 0 0.81 0.39 interpolated, mean of 2015 and 2017 126 Zomba City Southern 2017 0 0.91 0.78 data 127 Zomba City Southern 2018 0 0.91 0.87 data ==== ============= ======== ====== =============== ============== ================= ======================================================================== MDA_prognosed_Coverage ---------------------- ==== ============= ======== =========== =============== ============== ================= .. District Region Frequency Coverage PSAC Coverage SAC Coverage Adults ==== ============= ======== =========== =============== ============== ================= 0 Blantyre Southern 12 0.5 0.8 0.5 1 Chiradzulu Southern 12 0.5 0.8 0.5 2 Mulanje Southern 12 0.5 0.8 0.5 3 Nkhotakota Central 12 0.5 0.8 0.5 4 Nsanje Southern 12 0.5 0.8 0.5 5 Phalombe Southern 12 0.5 0.8 0.5 6 Balaka Southern 0 0 0.8 0.5 7 Blantyre City Southern 0 0 0.8 0.5 8 Chikwawa Southern 0 0 0.8 0.5 9 Chitipa Northern 0 0 0.8 0.5 10 Dedza Central 0 0 0.8 0.5 11 Dowa Central 0 0 0 0 12 Karonga Northern 0 0 0.8 0.5 13 Kasungu Central 0 0 0.8 0.5 14 Likoma Northern 0 0 0.8 0.5 15 Lilongwe Central 0 0 0.8 0.5 16 Lilongwe City Central 0 0 0.8 0.5 17 Machinga Southern 0 0 0.8 0.5 18 Mangochi Southern 0 0 0.8 0.5 19 Mchinji Central 0 0 0.8 0.5 20 Mwanza Southern 0 0 0.8 0.5 21 Mzimba Northern 0 0 0.8 0.5 22 Mzuzu City Northern 0 0 0.8 0.5 23 Neno Southern 0 0 0.8 0.5 24 Nkhata Bay Northern 0 0 0.8 0.5 25 Ntcheu Central 0 0 0.8 0.5 26 Ntchisi Central 0 0 0.8 0.5 27 Rumphi Northern 0 0 0 0 28 Salima Central 0 0 0.8 0.5 29 Thyolo Southern 0 0 0.8 0.5 30 Zomba Southern 0 0 0.8 0.5 31 Zomba City Southern 0 0 0.8 0.5 ==== ============= ======== =========== =============== ============== =================