Evaluating spatiotemporal dynamics of snakebite in Sri Lanka: Monthly incidence mapping from a national representative survey sample.
Evaluating spatiotemporal dynamics of snakebite in Sri Lanka: Monthly incidence mapping from a national representative survey sample.
复制标题
DOI:
10.1371/journal.pntd.0009447
复制
发表时间:
2021-06
影响因子:
3.8
通讯作者:
Diggle PJ
中科院分区:
文献类型:
--
作者:
Ediriweera DS;Kasthuriratne A;Pathmeswaran A;Gunawardene NK;Jayamanne SF;Murray K;Iwamura T;Isbister G;Dawson A;Lalloo DG;de Silva HJ;Diggle PJ
Snakebite incidence shows both spatial and temporal variation. However, no study has evaluated spatiotemporal patterns of snakebites across a country or region in detail. We used a nationally representative population sample to evaluate spatiotemporal patterns of snakebite in Sri Lanka. We conducted a community-based cross-sectional survey representing all nine provinces of Sri Lanka. We interviewed 165 665 people (0.8% of the national population), and snakebite events reported by the respondents were recorded. Sri Lanka is an agricultural country; its central, southern and western parts receive rain mainly from Southwest monsoon (May to September) and northern and eastern parts receive rain mainly from Northeast monsoon (November to February). We developed spatiotemporal models using multivariate Poisson process modelling to explain monthly snakebite and envenoming incidences in the country. These models were developed at the provincial level to explain local spatiotemporal patterns. Snakebites and envenomings showed clear spatiotemporal patterns. Snakebite hotspots were found in North-Central, North-West, South-West and Eastern Sri Lanka. They exhibited biannual seasonal patterns except in South-Western inlands, which showed triannual seasonality. Envenoming hotspots were confined to North-Central, East and South-West parts of the country. Hotspots in North-Central regions showed triannual seasonal patterns and South-West regions had annual patterns. Hotspots remained persistent throughout the year in Eastern regions. The overall monthly snakebite and envenoming incidences in Sri Lanka were 39 (95%CI: 38–40) and 19 (95%CI: 13–30) per 100 000, respectively, translating into 110 000 (95%CI: 107 500–112 500) snakebites and 45 000 (95%CI: 32 000–73 000) envenomings in a calendar year. This study provides information on community-based monthly incidence of snakebites and envenomings over the whole country. Thus, it provides useful insights into healthcare decision-making, such as, prioritizing locations to establish specialized centres for snakebite management and allocating resources based on risk assessments which take into account both location and season. Snakebite envenoming is a neglected tropical disease which mainly affects people living in rural areas of the tropics. Snakebite can result in mild, moderate or severe envenomation, psychological disturbances, long-term disability, and deaths. Snakebite incidence demonstrates both spatial variation and seasonal patterns in many countries, but there have been no previous in-depth evaluations of spatiotemporal patterns of snakebite risk at a country level. We undertook an island-wide community survey to determine the spatiotemporal patterns of snakebite in the country. Both snakebites and snakebite envenomings showed clear spatiotemporal patterns where certain hotspots persisted throughout the year while others showed dynamic changes within a year. We found that the monthly snakebite incidence was 39 per 100 000 and envenoming incidences was 19 per 100 000 in Sri Lanka. We developed monthly snakebite and snakebite envenoming risk maps to identify snakebite hotspots and cold spots in the country. These maps provide useful insights into healthcare decision-making, such as, prioritizing locations to establish specialized centres for snakebite management and allocating resources based on risk assessments which consider both location and season. Our methodology demonstrates a general approach to model times and places of individual events and address the effects of variable survey effort and recall bias associated with epidemiological surveys.
登录
查看更多内容
影响因子:
0.6
作者:
Hansdak, SG;Lallar, KS;Koirala, S
通讯作者:
Koirala, S
影响因子:
7.7
作者:
Ediriweera DS;Diggle PJ;Kasturiratne A;Pathmeswaran A;Gunawardena NK;Jayamanne SF;Isbister GK;Dawson A;Lalloo DG;de Silva HJ
通讯作者:
de Silva HJ
影响因子:
15.8
作者:
Kasturiratne A;Wickremasinghe AR;de Silva N;Gunawardena NK;Pathmeswaran A;Premaratna R;Savioli L;Lalloo DG;de Silva HJ
通讯作者:
de Silva HJ
影响因子:
1.4
作者:
Brown, GP;Shine, R;Madsen, T
通讯作者:
Madsen, T
影响因子:
5.9
作者:
Daltry, JC;Ross, T;Wuster, W
通讯作者:
Wuster, W