Ambient Temperature and Dengue Hospitalisation in Brazil: A 10-year period two-stage case-design time series analysis
Abstract Climate factors are known to influence seasonal patterns of dengue transmission. However, little is known about the effect of extremes of temperature on the severity of dengue infection, such as hospital admission. We aimed to quantify the effect of ambient temperature on dengue hospitalisation risk in Brazil. We retrieved daily dengue hospitalisation counts by each of 5,565 municipalities across the 27 states of Brazil from 1st of January 2010 to 31st of December 2019, from the Brazilian Public Hospital Admission System (“SIH”). We obtained average daily ambient temperature for each municipality from the ERA5-land product reanalysis. We combined distributed lag non-linear models with time stratified design model framework to pool a relative risk (RR) estimate for dose-response and lag-response structures for the association of temperature and Dengue hospitalisation. We estimate the overall dengue hospitalisation RR for the whole country as well for each of the five macro-regions by meta-analysing state level estimates. 579,703 hospital admissions due to dengue occurred over the 10 years’ period of 2010 to 2019. We observed a positive association between high temperatures and high risk of hospitalisation for Brazil. The overall RR for dengue hospitalisation was 2.185 (95% CI 1.457-3.276) at the 50th percentile of temperature and 2.385 (95% CI 1.556-3.655) at 95th percentile of temperature for Brazil. We also found lag effects of heat on hospitalisation, particularly an immediate augmented risk to hospitalisation, both at the 50th percentile and 95th. High temperatures are associated with an increase in the risk of hospitalisation by dengue. These findings may guide preparedness and mitigation policies during dengue season outbreaks, particularly on the health-care demand..
| Medienart: |
|
|---|
Preprint| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
bioRxiv.org - (2024) vom: 19. Feb. Zur Gesamtaufnahme - year:2024 |
|---|
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Lopes, Rafael [VerfasserIn] |
|---|
| Links: |
Volltext [kostenfrei] |
|---|
| Themen: |
|---|
| doi: |
10.1101/2022.04.05.22273394 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
XBI035761776 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | XBI035761776 | ||
| 003 | DE-627 | ||
| 005 | 20240220090607.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220415s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1101/2022.04.05.22273394 |2 doi | |
| 035 | |a (DE-627)XBI035761776 | ||
| 035 | |a (biorXiv)10.1101/2022.04.05.22273394 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lopes, Rafael |e verfasserin |0 (orcid)0000-0002-9416-6145 |4 aut | |
| 245 | 1 | 0 | |a Ambient Temperature and Dengue Hospitalisation in Brazil: A 10-year period two-stage case-design time series analysis |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Abstract Climate factors are known to influence seasonal patterns of dengue transmission. However, little is known about the effect of extremes of temperature on the severity of dengue infection, such as hospital admission. We aimed to quantify the effect of ambient temperature on dengue hospitalisation risk in Brazil. We retrieved daily dengue hospitalisation counts by each of 5,565 municipalities across the 27 states of Brazil from 1st of January 2010 to 31st of December 2019, from the Brazilian Public Hospital Admission System (“SIH”). We obtained average daily ambient temperature for each municipality from the ERA5-land product reanalysis. We combined distributed lag non-linear models with time stratified design model framework to pool a relative risk (RR) estimate for dose-response and lag-response structures for the association of temperature and Dengue hospitalisation. We estimate the overall dengue hospitalisation RR for the whole country as well for each of the five macro-regions by meta-analysing state level estimates. 579,703 hospital admissions due to dengue occurred over the 10 years’ period of 2010 to 2019. We observed a positive association between high temperatures and high risk of hospitalisation for Brazil. The overall RR for dengue hospitalisation was 2.185 (95% CI 1.457-3.276) at the 50th percentile of temperature and 2.385 (95% CI 1.556-3.655) at 95th percentile of temperature for Brazil. We also found lag effects of heat on hospitalisation, particularly an immediate augmented risk to hospitalisation, both at the 50th percentile and 95th. High temperatures are associated with an increase in the risk of hospitalisation by dengue. These findings may guide preparedness and mitigation policies during dengue season outbreaks, particularly on the health-care demand. | ||
| 650 | 4 | |a Biology |7 (dpeaa)DE-84 | |
| 650 | 4 | |a 570 |7 (dpeaa)DE-84 | |
| 700 | 1 | |a Basagaña, Xavier |0 (orcid)0000-0002-8457-1489 |4 aut | |
| 700 | 1 | |a Bastos, Leonardo S. L. |0 (orcid)0000-0001-7833-0403 |4 aut | |
| 700 | 1 | |a Bozza, Fernando A. |0 (orcid)0000-0003-4878-0256 |4 aut | |
| 700 | 1 | |a Ranzani, Otavio T. |0 (orcid)0000-0002-4677-6862 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t bioRxiv.org |g (2024) vom: 19. Feb. |
| 773 | 1 | 8 | |g year:2024 |g day:19 |g month:02 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1101/2022.04.05.22273394 |z kostenfrei |3 Volltext |
| 912 | |a GBV_XBI | ||
| 951 | |a AR | ||
| 952 | |j 2024 |b 19 |c 02 | ||