Submitted:
02 June 2025
Posted:
02 June 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Settings, Timeline, & Data Collection
2.2. Data Analysis
3. Results
4. Discussion
Funding
Ethical approval
Declaration of competing Interests
Acknowledgments
Appendix A. Supplementary Table
| Fit Statistic | Poisson | Negative Binomial |
| -2 Log Likelihood | 1422.77 | 1463.00 |
| AIC | 1446.77 | 1489.00 |
| AICC | 1447.87 | 1490.29 |
| BIC | 1491.01 | 1536.93 |
| CAIC | 1503.01 | 1549.93 |
| HQIC | 1464.48 | 1508.19 |
| Pearson Chi-Square | 276.94 | 358.75 |
| Pearson Chi-Square / DF | 0.98 | 1.27 |
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| Variables |
Shahpori Island N=150 n (%) |
Gaya Island N=150 n (%) |
Total (Combined for Both Islands) N = 300 n (%) |
pValue |
| Gender identity | ||||
| Male | 149 (99.3) | 75 (50) | 224 (74.7) | |
| Female | 1 (0.7) | 75 (50) | 76 (25.3) | |
| Marital status | 0.5139 | |||
| Single | 20 (13.3) | 24 (16) | 44 (14.7) | |
| Married | 130 (86.7) | 126 (84) | 256 (85.3) | |
| Education level | <0.0001 | |||
| Low (elementary) | 116 (77.3) | 68 (45.3) | 184 (61.3) | |
| High (secondary and above) | 34 (22.6) | 82 (54.6) | 116 (38.6) | |
| Current occupation | <.0001 | |||
| Business | 47 (31.3) | 18 (12) | 65 (21.6) | |
| Day labor | 57 (38) | 22 (14.6) | 79 (26.3) | |
| Private service | 24 (16) | 11 (7.3) | 35 (11.6) | |
| Housewife | 0 (0) | 50 (33.3) | 50 (16.6) | |
| Other occupation | 22 (14.6) | 49 (32.6) | 71 (23.6) | |
| Mean age in years | 35.64 | 39.4 | 37.52 | 0.0107 |
| Mean household members | 6.63 | 6.77 | 6.69 | 0.9775 |
| Mean income (USD) | 130.03 | 170.97 | 150.5 | <.0001 |
| Characteristics/ Questions |
Shahpori Island N=150 n (%) |
Gaya Island N=150 n (%) |
Total N=300 n (%) |
pvalue |
|
Have you ever heard about malaria/ dengue/ chikungunya/ Zika/ yellow fever/ Japanese encephalitis/ filariasis or other emerging vector-borne disease? | ||||
| Yes | 134 (89.3) | 148 (98.7) | 282 (94) | 0.001 |
| No | 16 (10.67) | 2 (1.3) | 18 (6) | |
|
How long have you known about vector-borne emerging disease? | ||||
| Mean duration (in months) | 17.06 | 27.77 | 0.8616 | |
|
Do you know the symptoms of vector-borne diseases? |
||||
| Fever | 64 (42.7) | 134 (89.3) | 198 (66) | <0.0001 |
| Fever with shivering, joint pain, rash, lymph node swelling, seizure, convulsion, eye problems, or anaemia | 50 (33.3) | 14 (9.3) | 64 (21.3) | |
| Other compatible symptoms | 0 (0) | 1 (0.7) | 1 (0.3) | |
| Do not know | 36 (24) | 1 (0.7) | 37 (12.3) | |
|
Do you know about the possible causes of vector-borne emerging diseases? | ||||
| Mosquito bite | 105 (70) | 142 (94.7) | 247 (82.3) | <0.0001 |
| Not maintaining environmental cleanliness | 0 (0) | 4 (2.7) | 4 (1.3) | |
| Reasons unrelated to mosquito or cleanliness | 0 (0) | 4 (2.7) | 4 (1.3) | |
| Do not know | 45 (30) | 0 (0) | 45 (15) | |
|
Do you know why someone can get infected with vector-borne diseases? | ||||
| Bite from a mosquito | 103 (68.7) | 132 (88) | 235 (78.3) | <0.0001 |
| Exposure to flies, ticks, or insects | 1 (0.7) | 0 (0) | 1 (0.3) | |
| Not maintaining cleanliness in the surrounding environment | 0 (0) | 7 (4.7) | 7 (2.3) | |
| Do not know | 46 (30.7) | 11 (7.3) | 57 (19) | |
| Characteristics |
Shahpori Island N=150 n (%) |
Gaya Island N=150 n (%) |
Total N=300 n (%) |
p-Value |
|
Do you know how to prevent or control mosquito-borne diseases? |
<0.0001 |
|||
| Prevent or destroy breeding site of mosquito | 0 (0) | 64 (42.7) | 64 (21.3) | |
| Using bed nets | 79 (52.7) | 36 (24) | 115 (38.3) | |
| Using mosquito repellent coils | 24 (16) | 3 (2) | 27 (9) | |
| Combination of bed nets and coils | 0 (0) | 35 (23.3) | 35 (11.7) | |
| Others | 0 (0) | 9 (6) | 9 (3) | |
| Do not know | 47 (31.3) | 3 (2) | 50 (16.7) | |
|
How do you confirm/diagnose a case of mosquito-borne disease? |
<0.0001 |
|||
| Presence of fever | 28 (18.7) | 144 (96.6) | 172 (57.3) | |
| Blood test results | 23 (15.3) | 0 (0) | 23 (7.7) | |
| Do not know | 99 (66) | 4 (2.7) | 103 (34.3) | |
| Others/traditional | 0 (0) | 1 (0.7) | 1 (0.3) | |
|
Have you ever spent money on the treatment of mosquito-borne diseases? |
<0.0001 |
|||
| Yes | 24 (16) | 81 (54) | 105 (35) | |
| No | 95 (63.3) | 68 (45.3) | 163 (54.3) | |
| Unsure/ Don’t know | 31 (20.7) | 1 (0.7) | 32 (10.7) | |
|
Where do you usually seek medical treatment? |
<0.0001 |
|||
| Government hospital | 10 (6.7) | 148 (98.7) | 158 (52.7) | |
| Private health-care Center | 3 (2) | 2 (1.3) | 5 (1.7) | |
| Rural unregistered health-care provider | 92 (61.3) | 0 (0) | 92 (30.7) | |
| Unsure/ family or neighbours’ suggestion | 45 (30) | 0 (0) | 45 (15) | |
| What are the measures you would like to take to tackle vector-borne disease in future? |
<0.0001 |
|||
| Destroying larva/mosquito breeding sites | 1 (0.7) | 49 (32.7) | 50 (16.7) | |
| Using bed nets | 92 (61.3) | 47 (31.3) | 139 (46.3) | |
| Administering insecticide & practice of bed nets | 3 (2) | 1 (0.7) | 4 (1.3) | |
| Mosquito repellent coil | 9 (6) | 33 (22) | 42 (14) | |
| Others/traditional protective measures | 0 (0) | 17 (11.3) | 17 (5.7) | |
| Do not know | 45 (30) | 3 (2) | 48 (16) | |
|
Where could you receive treatment if you were diagnosed with a mosquito-borne disease? |
<0.0001 |
|||
| Government hospital | 44 (29.3) | 150 (100) | 194 (64.7) | |
| Private hospital or health-care center | 6 (4) | 0 (0) | 6 (2) | |
| Unregistered health-care providers/ pharmacy salesperson | 55 (36.7) | 0 (0) | 55 (18.3) | |
| Do not know | 45 (30) | 0 (0) | 45 (15) |
| Variables | Estimate | Standard Error | t-Value | Pr > |t| |
| Occupation | ||||
| Business | 0.05840 | 0.06991 | 0.84 | 0.4042 |
| Private job | -0.02526 | 0.08337 | -0.30 | 0.7621 |
| Housewife | -0.03913 | 0.1007 | -0.39 | 0.6980 |
| Other occupation | 0.01046 | 0.06752 | 0.15 | 0.8770 |
| Day labor (Ref) | 0 | |||
| Education | ||||
| High (high school and above) | 0.2024 | 0.05489 | 3.69 | 0.0003 |
| Low (elementary - ref) | 0 | |||
| Marital status | ||||
| Unmarried or single | -0.1657 | 0.07914 | -2.09 | 0.0372 |
| Married (Ref) | 0 | |||
| Gender | ||||
| Female | 0.04335 | 0.08104 | 0.53 | 0.5931 |
| Male (Ref) | 0 | |||
| Age (in years) | 0.005125 | 0.002025 | 2.53 | 0.0119 |
| Income (USD) | -0.00017 | 0.000287 | -0.59 | 0.5589 |
| Household size | 0.001985 | 0.008190 | 0.24 | 0.8086 |
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