| Literature DB >> 32418379 |
Ju Yeong Kim1,2, Seobo Sim3, Eun Joo Chung1, Han-Jong Rim4, Jong-Yil Chai5,6, Duk-Young Min7, Keeseon S Eom8, Khalfan A Mohammed9, Iddi S Khamis9, Tai-Soon Yong1.
Abstract
Soil-transmitted helminths and Schistosoma haematobium affect more than 3 billion people globally and mainly occur in sub-Saharan Africa. The present study assessed the overall infection status of a 1716-student cohort of school-children in Zanzibar and applied mass drug administration (MDA) to the cohort from 2007 to 2009. Schools in Pemba, Zanzibar, had a much higher prevalence of soil-transmitted helminth infections than those in Unguja, and the Chaani, Ghana, and Machui schools of Unguja exhibited high S. haematobium infection rates. The MDA program only partially controlled parasite infections, owing to high rates of re-infection. The infection rate of S. haematobium across all 10 schools, for example, was only reduced by 1.8%, and even this change not significant, even though the S. haematobiuminfection rates of the Chaani and Mzambarauni schools were significantly reduced from 64.4 and 23.4%, respectively, at the first screening, to 7.3 and 2.3% at the last screening. The overall infection rate of Ascaris lumbricoides was reduced from 36.0% at the first screening to 22.6% at the last screening. However, the infection rates for both Trichuris trichiuraand hookworm were generally unaffected by MDA. In the future, parasite control programs should involve strategically designed MDA schedules and holistic intervention (e.g., sanitation improvement, hygiene behavior changes, and control of intermediated hosts).Entities:
Keywords: Schistosoma haematobium; Zanzibar; mass drug administration; neglected tropical disease; soil-transmitted helminth
Year: 2020 PMID: 32418379 PMCID: PMC7231831 DOI: 10.3347/kjp.2020.58.2.109
Source DB: PubMed Journal: Korean J Parasitol ISSN: 0023-4001 Impact factor: 1.341
Fig. 1Locations of the 10 primary schools included in the present study.
Parasite screening of 1,716 schoolchildren in Zanzibar, Tanzania
| Island | School | 1st visit (Feb 2007) | 2nd visit (Jul 2007) | 3rd visit (Feb 2008) | 4th visit (Feb 2009) |
|---|---|---|---|---|---|
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| No. screened (male, female) | No. screened (male, female) | No. screened (male, female) | No. screened (male, female) | ||
| Unguja | Chaani | 177 (89, 88) | 103 (46, 57) | 109 (34, 75) | |
| Kilombero | 149 (67, 82) | 119 (52, 67) | 114 (45, 69) | ||
| Ghana | 167 (80, 87) | 123 (55, 68) | 111 (47, 64) | ||
| Machui | 174 (89, 85) | 138 (67, 71) | 107 (45, 62) | ||
| Kitogani | 122 (67, 55) | 86 (44, 42) | 89 (45, 44) | ||
| Bwejuu | 172 (74, 98) | 133 (53, 80) | 128 (48, 80) | ||
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| Pemba | Mzambarauni | 202 (95, 107) | 135 (53, 82) | ||
| Kinowe | 187 (73, 114) | 116 (37, 79) | |||
| Vitongoji | 174 (84, 90) | 103 (data lost) | |||
| Ngwachani | 192 (87, 105) | 129 (56, 73) | |||
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| |||||
| Total | 667 (325, 342) | 1,049 (480, 569) | 702 (317, 385) | 1,141 | |
Parasitic infection rates of schoolchildren in 2007–2009
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|---|---|---|---|---|---|---|---|---|---|
| School | 1st visit (Feb 2007) | 2nd visit (Jul 2007) | 3rd visit (Feb 2008) | 4th visit (Feb 2009) | Difference between 1st and 4th screening ( | ||||
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| Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | ||
| Chaani | 125 | 78 (62.4) | 88 | 11 (12.5) | 109 | 8 (7.3) | −55.1% (< 0.0001) | ||
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| Kilombero | 126 | 11 (8.7) | 118 | 3 (2.5) | 111 | 5 (4.5) | −4.2% (0.1957) | ||
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| Ghana | 166 | 23 (13.8) | 119 | 21 (17.6) | 110 | 36 (32.7) | 18.9% (0.0002) | ||
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| Machui | 168 | 14 (8.3) | 136 | 56 (41.2) | 107 | 35 (32.7) | 24.4% (< 0.0001) | ||
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| Kitogani | 122 | 5 (4.1) | 86 | 0 (0.0) | 88 | 2 (2.3) | −1.8% (0.4671) | ||
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| Bwejuu | 167 | 3 (1.8) | 133 | 2 (1.5) | 128 | 1 (0.8) | −1% (0.4549) | ||
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| Mzambarauni | 171 | 41 (23.4) | 132 | 3 (2.3) | −21.1% (< 0.0001) | ||||
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| Kinowe | 186 | 5 (2.7) | 113 | 4 (3.5) | 0.8% (0.6760) | ||||
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| Vitongoji | 173 | 22 (12.7) | 103 | 26 (25.2) | 12.5% (0.0079) | ||||
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| Ngwachani | 185 | 19 (10.3) | 129 | 17 (13.2) | 2.9% (0.4262) | ||||
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| Total | Screened (Feb and Jul 2007): 1,589; Cases: 221 (13.9) | 1,130 | 137 (12.1) | −1.8% (0.1751) | |||||
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| School | 1st visit (Feb 2007) | 2nd visit (Jul 2007) | 3rd visit (Feb 2008) | 4th visit (Feb 2009) | Difference between 1st and 4th screening ( | ||||
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| Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | ||
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| Chaani | 129 | 3 (2.3) | 61 | 10 (16.4) | 43 | 3 (7.0) | 4.7% (0.1500) | ||
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| Kilombero | 102 | 31 (30.4) | 62 | 9 (14.5) | 114 | 7 (6.1) | −24.3% (< 0.0001) | ||
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| Ghana | 119 | 6 (5.0) | 88 | 8 (9.1) | 60 | 2 (3.3) | −1.7% (0.6015) | ||
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| Machui | 160 | 5 (3.1) | 98 | 8 (8.2) | 45 | 1 (2.2) | −0.9% (0.7509) | ||
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| Kitogani | 106 | 2 (1.9) | 77 | 4 (5.2) | 70 | 5 (7.1) | 5.2% (0.0808) | ||
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| Bwejuu | 75 | 0 (0.0) | 101 | 0 (0.0) | 65 | 1 (1.5) | 1.5% (0.4643) | ||
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| Mzambarauni | 144 | 79 (54.9) | 85 | 22 (25.9) | −29.0% (< 0.0001) | ||||
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| Kinowe | 158 | 116 (73.4) | 101 | 46 (45.5) | −27.9% (< 0.0001) | ||||
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| Vitongoji | 119 | 63 (52.9) | 80 | 31 (38.8) | −14.1% (0.0493) | ||||
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| Ngwachani | 167 | 156 (93.4) | 104 | 55 (52.9) | −40.5% (< 0.0001) | ||||
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| Total | Screened (Feb and Jul 2007): 1,279; Cases: 461 (36.0) | 767 | 173 (22.6) | −13.4% (< 0.0001) | |||||
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| School | 1st visit (Feb 2007) | 2nd visit (Jul 2007) | 3rd visit (Feb 2008) | 4th visit (Feb 2009) | Difference between 1st and 4th screening ( | ||||
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| Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | ||
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| Chaani | 129 | 5 (3.9) | 61 | 9 (14.8) | 43 | 6 (14.0) | 10.1% (0.0193) | ||
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| Kilombero | 105 | 31 (29.5) | 62 | 15 (24.2) | 114 | 8 (7.0) | −22.5% (< 0.0001) | ||
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| Ghana | 121 | 26 (21.5) | 88 | 9 (10.2) | 60 | 8 (13.3) | −8.2% (0.1861) | ||
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| Machui | 160 | 12 (7.5) | 99 | 12 (12.1) | 45 | 6 (13.3) | 5.8% (0.2219) | ||
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| Kitogani | 105 | 24 (22.9) | 77 | 6 (7.8) | 70 | 5 (7.1) | −15.8% (0.0062) | ||
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| Bwejuu | 75 | 0 (0.0) | 100 | 12 (12.0) | 65 | 6 (9.2) | 9.2% (0.0088) | ||
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| Mzambarauni | 144 | 102 (70.8) | 84 | 73 (86.9) | 16.1% (0.0056) | ||||
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| Kinowe | 158 | 127 (80.4) | 101 | 86 (85.1) | 4.7% (0.3274) | ||||
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| Vitongoji | 119 | 95 (79.8) | 80 | 74 (92.5) | 12.7% (0.0143) | ||||
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| Ngwachani | 167 | 152 (91.0) | 104 | 85 (81.7) | −9.3% (0.0248) | ||||
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| Total | Screened (Feb and Jul 2007): 1,283; Cases: 574 (44.7) | 766 | 357 (46.6) | +1.9% (0.4116) | |||||
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| Hookworm infection | |||||||||
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| School | 1st visit (Feb 2007) | 2nd visit (Jul 2007) | 3rd visit (Feb 2008) | 4th visit (Feb 2009) | Difference between 1st and 4th screening ( | ||||
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| Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | Screened | Cases (%) | ||
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| Chaani | 129 | 2 (1.6) | 61 | 0 (0.0) | 43 | 0 (0.0) | −1.6% (1) | ||
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| Kilombero | 106 | 15 (14.2) | 62 | 7 (11.3) | 114 | 5 (4.4) | −9.8% (0.0118) | ||
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| Ghana | 121 | 15 (12.4) | 88 | 2 (2.3) | 60 | 2 (3.3) | −9.1% (0.0491) | ||
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| Machui | 160 | 9 (5.6) | 99 | 8 (8.1) | 45 | 1 (2.2) | −3.4% (0.3492) | ||
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| Kitogani | 106 | 1 (0.9) | 77 | 1 (1.3) | 70 | 3 (4.3) | 3.4% (0.1453) | ||
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| Bwejuu | 75 | 4 (5.3) | 2 (2.0) | 65 | 0 (0.0) | −5.3% (0.1235) | |||
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| Mzambarauni | 144 | 78 (54.2) | 84 | 52 (61.9) | 7.7% (0.2549) | ||||
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| Kinowe | 158 | 108 (68.4) | 100 | 65 (65.0) | −3.4% (0.5765) | ||||
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| Vitongoji | 119 | 54 (45.4) | 80 | 55 (68.8) | 23.4% (0.0012) | ||||
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| Ngwachani | 167 | 106 (63.5) | 104 | 43 (41.3) | −22.2% (0.0004) | ||||
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| Total | Screened (Feb and Jul 2007): 1,285; Cases: 392 (30.5) | 765 | 226 (29.5) | −1% (0.6457) | |||||
P-values were calculated using chi-square or Fisher exact tests.
Fig. 2Heatmap showing the prevalence of soil-transmitted helminth infections and schistosomiasis in children from 10 schools in Zanzibar, Tanzania (2007–2009). Values in the cells represent the 3-year average prevalence of each parasitic infection in each school. The colors on the heatmap are based on z-scores calculated using relative prevalence of parasites infections (Z-score=[actual prevalence − mean prevalence along the 10 schools] /standard deviation).
Fig. 3Principal Component Analysis plot showing helminth infections and schistosomiasis prevalence in children from 10 schools in Zanzibar, Tanzania (2007–2009). Prevalence of Ascaris lumbricoides, Trichuris trichiura, hookworm, and Schistosoma haematobium infection in 10 schools for three years was subjected to principal component analysis and the first 2 principal components, PC1 and PC2, were plotted. PC1 explained the 86.7% of the total variability found, and PC2 explained the 7.5% of the total variability. Black arrows indicate schools with increased parasitic infection status.
Association analysis of variables related to parasitic infection
| Hookworm cases/screened (%) | Anemia cases/screened (%) | ||||
|---|---|---|---|---|---|
| Island | |||||
| Unguja | 87/653 (13.3) | 19/397 (4.8) | 39/397 (9.8) | 11/397 (2.8) | 162/479 (33.8) |
| Pemba | 27/379 (7.1) | 124/292 (42.5) | 246/291 (84.5) | 161/290 (55.5) | 106/223 (47.5) |
| Total | 114/1,032 (11.0) | 143/689 (20.8) | 285/688 (41.4) | 172/687 (25.0) | 268/702 (38.2) |
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| Sex | |||||
| Male | 69/412 (16.7) | 54/259 (20.8) | 102/259 (39.4) | 63/259 (24.3) | 124/282 (44.0) |
| Female | 44/619 (7.1) | 88/429 (20.5) | 182/428 (42.5) | 108/427 (25.3) | 144/420 (34.3) |
| Total | 113/1,031 (11.0) | 142/688 (20.6) | 284/687 (41.3) | 171/686 (24.9) | 268/702 (38.2) |
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| Anemia | - | ||||
| Yes | 30/263 (11.4) | 45/195 (23.1) | 80/195 (41.0) | 52/194 (26.8) | - |
| No | 44/431 (10.2) | 45/306 (14.7) | 99/305 (32.5) | 61/305 (20.0) | - |
| Total | 74/694 (10.7) | 90/501 (18.0) | 179/500 (35.8) | 113/499 (22.6) | - |
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| Hematuria | |||||
| Yes | 90/149 (60.4) | 22/80 (27.5) | 45/80 (56.3) | 27/80 (33.8) | 46/93 (49.5) |
| No | 18/762 (2.4) | 113/487 (23.2) | 227/487 (46.6) | 138/486 (28.4) | 200/524 (38.2) |
| Total | 108/911 (11.9) | 135/567 (23.8) | 272/567 (48.0) | 165/566 (29.2) | 246/617 (39.9) |
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| Previous | - | ||||
| Yes | 53/159 (33.3) | 12/88 (13.6) | 30/88 (34.1) | 18/88 (20.5) | - |
| No | 61/838 (7.3) | 121/582 (20.8) | 239/581 (41.1) | 145/580 (25.0) | - |
| Total | 114/996 (11.4) | 133/670 (19.9) | 269/669 (40.2) | 163/668 (24.4) | - |
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| Previous | - | ||||
| Yes | 30/293 (10.2) | 92/238 (38.7) | 172/238 (72.3) | 103/237 (43.5) | - |
| No | 74/567 (13.1) | 26/355 (7.3) | 71/354 (20.1) | 41/354 (11.6) | - |
| Total | 104/860 (12.1) | 118/593 (19.9) | 243/592 (41.0) | 144/591 (24.4) | - |
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| Previous | - | ||||
| Yes | 41/366 (11.2) | 95/277 (34.3) | 181/277 (65.3) | 110/276 (39.9) | - |
| No | 63/495 (12.7) | 23/314 (7.3) | 62/313 (19.8) | 34/313 (10.9) | - |
| Total | 104/861 (12.1) | 118/591 (20.0) | 243/590 (41.2) | 144/589 (24.4) | - |
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| Previous hookworm infection | - | ||||
| Yes | 23/240 (9.5) | 71/191 (37.2) | 143/191 (74.9) | 98/190 (51.6) | - |
| No | 81/624 (13.0) | 49/403 (12.2) | 102/402 (25.4) | 47/402 (11.7) | - |
| Total | 104/864 (12.0) | 120/594 (20.2) | 245/593 (41.3) | 145/592 (24.5) | - |
P-values were calculated using chi-square or Fisher exact tests.
Multiple logistic regression for risk factor assessment for parasitic infections in the children in Zanzibar in 2009. The information on the previous parasitic infections was derived from the egg examination in 2007 or 2008
| Hookworm odds ratio (95% CI) | ||||
|---|---|---|---|---|
| Island | ||||
| Unguja | 1.705 (1.053–2.763) | 0.100 (0.051–0.198) | 0.025 (0.014–0.045) | 0.029 (0.014–0.062) |
| Pemba | Reference | Reference | Reference | Reference |
| P-value | ||||
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| Sex | ||||
| Male | 2.449 (1.608–3.731) | 1.314 (0.820–2.105) | 1.064 (0.645–1.757) | 1.179 (0.721–1.925) |
| Female | Reference | Reference | Reference | Reference |
| | ||||
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| Previous | ||||
| Yes | 5.557 (3.608–8.558) | - | - | - |
| No | Reference | |||
| | - | - | - | |
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| Previous | ||||
| Yes | - | 2.093 (1.157–3.787) | - | - |
| No | Reference | |||
| | - | - | - | |
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| Previous | ||||
| Yes | - | - | 1.248 (0.694–2.244) | - |
| No | Reference | |||
| | - | - | - | |
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| Previous Hookworm infection | ||||
| Yes | - | - | - | 1.819 (1.091–3.030) |
| No | Reference | |||
| | - | - | - | |
OR, odds ratio; CI, confidence interval.
Fig. 4Effect of Schistosoma haematobium infection on the weight gain of schoolchildren in Zanzibar, Tanzania. Bonferroni corrected P-values are shown.
Evaluation of hematuria as a predictor of Schistosoma haematobium infection
| Hematuria Positive | Hematuria Negative | Combo values | |||
|---|---|---|---|---|---|
| All schools in Zanzibar for 3 years | Egg Positive | 310 | 85 | Sensitivity | 78.48% |
| Specificity | 92.66% | ||||
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| Egg Negative | 201 | 2,539 | PPV | 60.67% | |
| NPV | 96.76% | ||||
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| Machui school for 3 years | Egg Positive | 77 | 27 | Sensitivity | 74.04% |
| Specificity | 96.71% | ||||
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| Egg Negative | 10 | 294 | PPV | 88.51% | |
| NPV | 91.59% | ||||
PPV, positive predictive value; NPV, negative predictive value.
Fig. 5(A) Hemoglobin level by hookworm EPG grade. The data of the children on the Pemba island in 2009 were used. There were no significant differences among the groups (P-value for one-way ANOVA=0.892). Bars represent the standard error of the mean. (B) Scatter plot and linear regression analysis for hemoglobin concentration and hookworm EPG. The data of the children on the Pemba island in 2009 were used. P-value for coefficient was 0.968.