Investigating the Relationship Between Climate Change and Tropical Parasitic Disease
Notice bibliographique
Résumé
Background: The International Panel on Climate Change (IPCC) has concluded that Earth’s climate has changed considerably in the last century, in part due to human-related activity (1). Based on the IPCC 2007 Report, the average surface temperature increased approximately 0.74°C ± 0.18 °C over the twentieth century (1). The increased temperatures are linked to changes in other parameters of Earth’s climate system, such as the rising sea-level and increased yearly number of heavy rainfalls, extreme flooding, and droughts (1,2). Such changes in the Earth’s climate system are predicted to continue over the twenty-first century (1,2). Given that a population’s survival is largely dependent on the Earth’s climate, increasing attention has been placed on whether climate change has affected parasitic disease patterns. In principle, climate can affect parasitic diseases with respect to changes in reproduction, development, and the population dynamics of the parasite and the parasite host (3). However, the effects of climate change on parasitic disease over the last century remain controversial. It is important to understand the relationship between climate change and parasitic disease in order for the development of appropriate and effective policies in disease prevention. Objectives and Methodology: The objective of the current study was to investigate and review the relationship between climate change and various parasitic diseases, including malaria, Chagas disease, leishmaniasis, schistosomiasis, and lymphatic filariasis, considering the potential consequences for the human population as well. Thus, a literature review was performed using OVID as the main search engine to review the existing evidence.Results: A total of 43 observational studies were analyzed (15 malaria, 7 Chagas disease, 11 leishmaniasis, 5 schistosomiasis, and 5 lymphatic filariasis). In reviewing the existing literature, it was observed that the vectors and parasites of the tropical parasite diseases are influenced by local temperatures, rainfall, and other climate indices. While malaria and leishmaniasis were predominantly positively associated with temperature increases (4, 5), Chagas disease was negatively associated with increased temperatures (6). The effects of temperature on Schistosomiasis and lymphatic filariasis were less consistent, with both positive and negative associations observed. The dominant hypothesis to account for the differing associations observed between parasites and temperature change is one of an optimal growth habitat for a given parasite (3). That is, while temperature positively influences vector and parasite survival, extreme temperatures can be detrimental to currently endemic regions (3). In examining precipitation patterns, with the exception of lymphatic filariasis, for which a positive association was observed (7), the effects of precipitation were mixed for other parasitic diseases studied. The effects of precipitation on infectious disease appear to be very specific to the region, as increased rainfall can produce both positive and negative results for the vectors studied (3).Conclusion: The current study demonstrates that climate change plays a fundamental role in the survival of vectors and parasites, and the transmission of infectious disease. The results suggest that climate change has altered the geographical distribution of infectious disease, particularly in regions previously unsuitable for vector and parasitic survival. Future studies should seek to define how much of the burden of infectious disease can be attributed to climate change.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».